As a professional Full Stack Engineer with more than 9 years of experience developing, coding and testing websites, I am excited to bring my skills to some remote Company as the Python Full Stack Developer.
With my 8+ years rich experience in finance and fintech and 4+ years rich experience in Data Science and Artificial Intelligence, Well-acquainted with database engineering, data warehouses, and data processing, I think I will be a great addition to your team.
I am experienced in Full Stack Web & Mobile Application using React, Vue, Angular, Django, Flask, Solidity and Python with AI technology, SciPy, NumPy, Matplotlib, Web Scrapping, AI, ML, DL, NN, Prediction, Decision-Making, Image/Audio & Video Processing, Effective Algorithm Design & Analysis, Smart Contract, Blockchain, DApp, SQL/NoSQL, Real-Time Processing, Multithreading, Automation Processing, Bot, Trading, Electronic Automation with Micropython.
I helped improve the code maintainability of our web app, decreasing deployment time by 90%.
I’m eager to chat more about my experiences and qualifications. Please feel free to contact me anytime.
Thank you for your time and consideration.
Junior Data Scientist at Forecasting and Strategy Unit (NTUA) with mathematical and engineering background and 2 years of experience using scripting languages including Python. MEng qualified professional, knowledgeable in Python frameworks related to data such as SciPy, NumPy, Matplotlib and relational databases such as PostgreSQL. Has working experience in banking and has designed and implemented the database for an archiving system based on blockchain technology as part of an MVP for a startup.
Data Scientist / Machine Learning engineer with overall 11+ years of R&D.
Experienced in Machine learning, Deep learning, heavy algorithms development from PoC to production stages and support in the following areas: Finance, Healthcare, Sound analysis, Text processing (NLP), Computer vision. etc. Covered different roles, from a single ML engineer on a project to a head of ML Team.
Commonly used stack: Linux, Git, Python (Keras, scikit-learn, xgboost, tensorflow, numpy, pandas, spacy, librosa, dask, opencv, matplotlib, plotly, etc.)
For the past 8 months I have been managing my own portfolio, analyzing and trading the cryptocurrency market. I currently utilize a wide array of research approaches such as NVT ratio and MVRV ratio to determine token valuation.
I have gained experience in healthcare M&A, startup accelerator working with venture capitalists and founders, and at a D2C lean startup in product development. I am confident with my diverse experience, I would make a great candidate as an Analyst.
I really like blockchain technology and data analysis, I want to do it professionally and improve in this direction.
### My crypto-story:
First heard about cryptocurrency in 2017. In 2019 led an author introductory course on blockchain, technology and investing. Since 2020 I started developing my own trading algorithms and writing a trading robot in Python.
### My job:
- I've been working as a nuclear physicist for 11 years. The range of activities is very wide, from modeling and development of detectors to their installation and tuning.
- Last 4 years I am engaged in processing of the experimental data, their analysis and interpretation.
- I have many publications, including in international journals.
### My programming projects:
- A Monte Carlo study of particle beam scattering on a nuclear lattice. Written in Python, C.
- Object recognition software in photos - automatic search and selection of the desired area followed by image analysis. Python.
- Market behavior analysis and trading algorithms development, Python. Program which based of my development, which makes trades by means of API on Binance Exchange. Python. The development is continuing.
Lets make this world blockchained :)
To, Portfolio: https://sites.google.com/view/roswin-fernandes/
Talent Acquisition Dept.
Dear Sir/ Madam,
I was excited to see your job listing for the Blockchain Analyst position at Crypto Geeks on cryptojobslist.com. As a Blockchain Analyst, Developer and an active Trader with over two years of professional Experience executing market research, dapp development and successful trading in stock and crypto space, I'm confident that I would be a valuable asset to the team at Crypto Geeks.
Your job listing mentions the need for someone knowledgeable in Blockchain technology, Defi, Big Data Analytics, On-chain metrics, SQL, data visualization,and article writing, all areas in which I have extensive experience. Over the course of two years, I have developed significant skills in blockchain space such as Performing quantitative analysis, deriving KPI’s of various crypto projects and their associated transactions using the Google’s Ethereum and Polygon Blockchain Big-Data using BigQuery and constructed interactive dashboards using streamlit and plotly.
Furthermore, I have traded and invested in various crypto projects after studying their Tokenomics, Future Scope, On Chain Metrics and Price Action. I have also participated in staking & yield farming identifying potential Defi protocols using my custom approach. I’ve demonstrated strong communication and analytical skills publishing market research reports, industry trends and trade ideas on Trading view. My recent pick GMT/USDT returned 400% in 4 weeks. Furthermore, my article titled 'How to trade an ascending triangle?' was featured in Editor's Picks. Please have a look at my portfolio where I have shared my work,
I believe Crypto Geeks would benefit from my skills in the following areas:
-Profound knowledge on Blockchain, NFT’s, DeFi, Web3,Tokenomics & Smart Contracts
-Hands on with crypto.Ethereum, Polygon-google Big-Datasets
-Big Query and SQL for querying
-Crypto On-Chain Metrics
-Publishing Research Reports, Articles, Trade Ideas on TradingView
-Multi-Timeframe Price Chart Analysis
-Trading Crypto Futures/ Index Options/Stock's and Forex.
-Streamlit, Matplotlib, Plotly for Data Visualization
-Programing Languages: Python, Solidity
-Backend : Hardhat, Ethers.js, walletconnect, Moralis
-Frontend : Next.js, Tailwind Css
-Experience working remotely.
I'd greatly appreciate the opportunity to meet with you and further discuss my qualifications and your requirements in detail. Thank you for your consideration, and I look forward to speaking with you soon
Please find below highlight’s on my in-depth crypto research and trading experience:
Steps I follow to find a quality Yield Farm:-
-Check for Yield Farming smart contracts with the highest number of depositors in the past 24 to 48 Hr's.
-Now filter the list based on the highest number of smart liquidity providers involved in this project. (Smart liquidity providers are those top 1% of liquidity providers and liquidity miners in terms of profit and ROI on any Uniswap or Pancake-swap type of DEX).
-For example: say we select the GAL-BNB pair on Pancake-Swap as it has the highest number of depositors in the past 48 Hrs where majority of the depositors are top smart liquidity providers.
-Next check for how long this pool was active and what is the total balance of GAL and BNB in the pool.
-Check out for inflows and Outflows of GAL and BNB to/from this pool. Make sure that the Inflow’s are significant when compared to the outflows.
-Select the top 3 depositors of the token’s to this pool and checkout their transaction history to find out if they still have their token’s in the pool or they have withdrawn it already.
-If the token’s of the top depositor’s are still present in the pool, we can go ahead and invest in that yield farm.
-Keep a close watch on the transaction’s of these big depositor’s, Incase if you find any significant withdrawal of the token’s, we must take an exit as well.
Steps I follow to differentiate a genuine crypto project from a rugpull:-
-check out the domain age of a crypto website
Smaller the age, higher the probability that the project is not genuine.
-check out social handles, especially telegram and twitter
lower the telegram followers, higher the probability that the project is not genuine.
higher the telegram followers but significantly lower views, then the followers are fake.
-check for minting function in the smart contract on etherscan
if there is a minting function, an unlimited number of coins can be minted in future which is a huge drawback.
-check if the liquidity pool is locked
geUnlockTime must be zero. If there is a unlocktime, the liquidity pools are going to get unlocked and the contract creators can suck in all the liquidity. Therefore, due to lack of liquidity, Trades cannot be executed.
-check for the owner's address.
if the owner address is 0x0..........00 or dead address or burn address, this is fine as the ownership is renounced.
if the owner address is a wallet address, this wallet has control over the smart contract.
-check for holder's and percentage holdings of each wallet
if only a few wallets hold the maximum supply, it is a red flag and these holders can dump the coins any moment.
How I analyze Price Action of a Crypto/ Security:-
( Check out my portfolio where I have demonstrated my analysis on various stocks & Crypto by navigating through this link:( https://sites.google.com/view/roswin-fernandes/technical-analysis )
-Use Top down approach for chart analysis
-Check out the price action on a weekly timeframe, then daily, hourly and then on 15 minutes.
-Identify & Draw patterns, support and resistances starting from higher to lower Timeframe
The different price action patterns include Ascending/ Descending/ Symmetrical Triangles, Rising/ Falling Wedge, Rising/ Falling Channel, Direct/ Inverse Head & Shoulders, Bull/ Bear Flag, & Direct/ Inverse Cup and Handle.
Supports and Resistances can be static horizontal or dynamic EMA's, SMA's .
-Identify possible Breakouts/ Breakdowns from these patterns.
-Use Important Indicators in conjunction with the price action
-Use Volume Profile and check out the POC, VAH and VAL points. POC is an area with highest trading activity, while VAH acts as resistance and VAL acts as support.
-Use Fibonacci Retracement to take a low risk entry at the retracement after an impulsive up move/down move.
-Identify areas of confluence combining Volume Profile & Price Action at different timeframes and take a low risk entry with minimum 1:2 Risk-Reward ratio.
How I analyze On-Chain Metrics of a Crypto and combine with the the Price Action to initiate a high Probability Trade:-
( Check out my portfolio where I have demonstrated On-Chain analysis in the form of an article by navigating through this link:( https://sites.google.com/view/roswin-fernandes/articles )
1) identify any significant On chain activity during consolidation or Breakout
-Important On-Chain metrics to keep track are as follows:
- total network value of asset
-higher the market cap, higher the adoption of that asset.
b) Realized Cap:
- variation of market cap that values each UTXO based on the price when it was last moved.
-When the market cap trades above realized cap, the market is in aggregate profit.
c) MVRV Ratio
-Ratio of Market cap to Realized Cap
-MVRV > 3.5, shows large unrealised profits, signifies local tops.
-MVRV < 1, shows large unrealised losses, signifies market bottoms.
d) Spent Output Profit Ratio (SOPR):
-aggregate profit and loss realized on a particular day.
-If SOPR >1, then Coins spent(sold) that day are on profit.
-If SOPR <1, then Coins spent(sold) that day are on Loss.
-If SOPR =1, then Coins spent(sold) that day are on Breakeven.
a) Bull Market- buy the dip when SOPR Resets (value=1) and sell during Local Top formation.
b) Bull Market Reversals-SOPR makes macro Top and SOPR falls below 1 deeply.
c) Bear Markets- SOPR makes local bottoms, apply Sell on Rise strategy when SOPR resets to 1.
e) NPL (Net Realized Profit/Loss)
-If NPL >1, greater the realized profit.
-If NPL <1, greater the realized Loss.
-If NPL =1 Breakeven.
-used to identify trend reversal , as big profits/ losses are booked .
f) puell multiple:
-Puell Multiple > 4 (Macro Top) == Miners Sell their Coins(Miner Reward) at profit.
-Puell Multiple < 1 (Macro Bottom)== Miners are in Loss, So some Miners switch off their
Mining Rigs. Hence There are lesser Miners and they share comparatively greater Miner Reward
g) Stablecoin supply ratio (SSR):
-Ratio of Market Cap of a coin to the Total Market Cap of all stablecoins
-Lower the value, Higher the buying power
h) Coin days destroyed ( CDD ):
-when one coin unit remains unspent for a day, it accumulates one "coin day".
-eg: 3 BTC that is dormant for 100-days has accumulated 300 coin days.
-So now if it is spent (sold) it will be like 200 Coin Days Destroyed.
-CDD values > than 10 million days = local market tops or bottoms due to spending by long term
-CDD values > than 20 million days = Trend Reversal(Macro Top/Bottom)
-For how long that coin was dormant before it was just spent.
-High value: Long term holders are selling
-Low Value: Short term holders are selling
j) Spent Output Age Bands (SOAB)
-Coins spent are grouped by their age.
-Bigger the Age: LTH are selling
-Smaller the Age: STH are selling
k) Exchange whale Ratio
-ratio of top 10 inflow’s to exchange to the Total inflows to exchange
**When > 85% whale dumping happens
l) Estimated Leverage Ratio (ELR) ;
-The exchange's open interest divided by their coins reserve which shows how much leverage is used
by users on average.
-Higher the leverage, derivative traders are more aggressive.
m) Network Value to Transactions Ratio ( NVT):
- this metric is like PE ratio in stocks
-High: Overvalued Network worth - Bearish
-Low : Undervalued Network worth - Bullish
n)Stock to Flow (SF) ratio:
-higher this value, the scarier the asset is.
- price correlates with coin's scarcity
- eg: max bitcoin in circulation can be 21 million of which 19 million are already mined, hence new
coins which are yet to be mined and added to the supply are very limited as a result Stock to flow
The model value is high in bitcoin . ( Crypto Projects with high SF ratio are preferred for investment)
o) Volume and open interest:
-Volume is the total number of traded contracts.
-Open Interest: Number of open contracts at any time.
Interpretation of market behavior as price, volume & open interest changes.
i) Markets are bullish when Price, Volume & OI are rising.
ii) Markets are bullish when Price, Volume & OI are declining.
iii) Markets are bearish when Price is rising while Volume & OI are declining.
iv) Markets are bearish when Price is falling while Volume & OI are increasing.
- 1-year Data Science experience in Crypto
- 2 years of programming experience in Sales and Big Data
- 7 years of management experience in Tech and Finance
- 8 years of sales experience
- Have a great interest in Data Science and Machine Learning
- Ability to work with cross-functional & cross-cultural teams
- Strong business acumen, problem-solving and analytical skills
- Highly developed organization skills, attention to detail, and ability to prioritize effectively
- Strong networking and interpersonal skills. Able to establish contacts at any level
See me on YouTube: youtube.com/magmining
And GitHub: github.com/axeg0
I have been working as Machine Learning Researcher during the past years, where I dealt with Machine Learning techniques to increase energy efficiency in buildings, conducted data time-series analysis on energy data sets, and held university courses on Data Science for Energy Informatics and Smart Grids.
I mainly used common Python tools such as Scikit-Learn, Numpy, Keras, Pandas, SciPy to conduct experiments on Ubuntu servers. As concerns databases, I'm proficient in SQL and have dealt with relational databases in the past, while I'm familiar with NoSQL. Matplotlib has always been my tool of choice to visualize data for reporting purposes, although I'm familiar with Plotly, Seaborn and Tableau as well.
Jack Dorsey famously said: "I don't think there is anything more important in my lifetime to work on [he spoke about Bitcoin]." I must agree with him in the sense that I sincerely believe that cryptocurrencies will revolutionize our economy and shape how we pay, get paid, manage our wealth and create new decentralized platforms. Hence, I could not think of a more exciting business field.
Fix the money, fix the world!
Dear Recruiting Manager,
I’ve read incredible reviews on Autowhale’s commitment to developing world-class liquidity oriented services within the crypto space. Through my professional and academic experience working in a demanding analytic environment, I believe I am a suitable candidate for the Business Development/Sales agent role.
The Business Development/Sales agent position with Autowhale requires, among others, fluency within the language Russian, experience in professionally working with C-Level executives and b2b lead generation, as well as talent for sales & negotiation. To supplement my statistics degree, which featured additional coursework in advanced mathematics and computer science, I have extensive professional experience in the analytic space. I am currently employed with Giant Partners as a Data Processor, a fast-paced digital marketing agency that utilizes data-driven decision making to accelerate leads and drive sales. My professional responsibilities of note are: producing Python and SQL scripts to expedite turn-around time on data product deliveries, writing complex queries to capture the intended users for a variety of clients’ lead generation campaigns, and coordinating with sales and marketing team members to match the technical side of a client’s strategies and goals.
I am confident that with my drive to contribute to a crypto-driven world, my persistent dedication to any set of responsibilities that I set out to do, and my will to prioritize whatever it takes to make my professional goals attainable, I will help Autowhale reach its immediate and long term goals. Thank you for your time and consideration, I look forward to hearing from you soon.
Dear Hiring Manager,
I am writing to inquire about the Data scientist role at Almanak.
I find data-driven projects fascinating and mentally rewarding particularly when I solve problems that impact the lives of many people positively with data solutions.
I am motivated, driven and committed to making success of given assignments and career development, and you would find me very interesting to work with.
Recently, I completed a data analytics project with Cognos Analytics tools and Python libraries such as Matplotlib, Seaborn, SciPy and NumPy.
With my lates technical skills, I can adapt quickly to the Almanak team and help bring your projects to success in a short-time for clients, and stakeholders alike.
This summary cannot communicate my qualifications in-depth.
I look forward to learning if I am a good match and discussing how my skills would serve your team immensely.
I believe that cryptocurrencies and especially bitcoin, as hard money, have the potential to change the economic course of Latin America. Historically, we have been mismanaged by bad governments that haven't allowed us to develop our full potential. Ever since. 2017 when I discovered Bitcoin and Ethereum thanks to a podcast featuring Vitalik Buterin, I've been immersing myself deeper into the rabbit hole grasping the enormous potential this industry has. That's why I want to be part of Binance, because I am interested in promoting development in LATAM and giving people control of their money, and therefore their destiny.
I’m a visionary professional full of curiosity who constantly seeks to learn new things and improve my skills. I have worked with many startups in Mexico that focused on different industries like health-tech, proptech, fintech and, digital marketing; mainly helping with business development strategies and product areas. Capable of working with interdisciplinary teams and executives of all levels.
Ever since I decided to expand my career I started a series of courses and diplomas in data and analytics, more recently I graduated as Data Scientist Jr from Le Wagon's bootcamp in which I covered many key skills such as:
-Data Analytics with SQL, BigQuery, Pandas, Numpy and Matplotlib - Statistics with Scipy, Seaborn and Statsmodels
- Machine Learning with Scikit-learn
- Deep Learning with TensorFlow Keras
I've recently took the Defy Education diploma (it includes a POAP NFT 🤯) which covers all the main crypto ecosystems that are available nowadays and is being imparted by some of the best ETH developers from LATAM. I’m eager to learn new skills and keep growing as a person that’s why I’m confident that my general knowledge in tech companies and as data scientist will help me make an impact at BABB if you give me the opportunity.
Let me know if you have any questions,
I am a visionary executive with over 25 years of experience in investment banking and energy. More importantly, I’m a results-oriented leader with a proven ability to engage, align and manage stakeholders including c-level, Ph.D.’s, quants, traders, IT, subject matter experts, risk professionals, and users.
My career experience includes a diverse range of leadership roles in programming, trading, product development, and risk management. By combining the expertise of a data scientist, programmer, trader, and operational leader I’ve delivered over $1B in profit for employers by working cross-functionally to translate complex business challenges into collaborative solutions.
My career includes successfully managing and mentoring cross-functional teams both globally and remotely. I’ve worked closely with C-suite at multiple companies and am well versed in presenting recommendations and analyses to executive management, board members, and clients.
Who loves coding, love dealing with complex Business Logic, eager to learn new technologies, love solving problems and challenges? Well, that's me. I love what I'm doing, with a good enthusiasm.
I'm good at Python and love working in Linux environment. Also, working in Software Development about 4 years.
So, if you're interested, please get in touch with me. :)
Hi, I’m Pat Larkin. I recently completed a data science bootcamp and have over 5 years of management consulting experience. I have proven experience in project management and data analytics, which has increased business performance. I am an inclusive leader and an innovative thinker and am looking for an opportunity to further grow in an innovative environment.
Formerly a data integration analyst in an anti-fraud company in Israel. I am looking for an opportunity in the crypto space. I wanted to go into finance, but eventually found myself in a technology company. I think the emerging crypto space is the best combination of the two, programming & finance.
My expertise is in transforming data to the necessary format. In my previous job, I handled hundreds of datasets coming from different merchants and in different formats. Usually, I had to map the data to fit the company api.I have also created many python functions for myself and for my team that helped facilitate the process and make it as much as 2X faster. We usually received a csv file and had to transform it into a json file. I'm familiar with many python modules, mainly pandas, numpy, matplotlib, seaborn and some more. If you have loads of data that needs to transformed to an input for your models, I believe I can be valuable.
Methodical Data Analyst with strong attention to details, who quickly understands and analyzes complex scenarios. I am an ardent listener, give immense value to my business partners and their pain points & help them to come up with an MVP in terms of reporting, that can be delivered in an incremental and iterative manner. Proven ability to excel in stressful environments & managing multiple deliverables with high standard in a tight timeframe. Performs with a strong sense of responsibility and is comfortable in a propelling environment.
Dear Hiring Manager,
My name is Umesh Siddanagaiah and I believe that, with my skills, experience and attitudes, I can bring a lot to the company and I’m excited about the prospect. I feel that my skills and experience are a great fit for the position of Python Developer. Please feel free to contact me to arrange an interview. Mentioned below are my Experiences and Expertise levels.
• 3+ Years of Python Developer IT Experience in designing, developing, testing, and implementing various stand-alone and client-server architectures-based enterprise application software on various domains.
• Working knowledge of all phases of the Software Development Life Cycle (SDLC) using methodologies like Agile and Waterfall.
• Good knowledge of developing web applications implementing MVC architecture using Django and Flask web application frameworks.
• Having a good working knowledge of various Python IDEs using PyCharm, and Jupyter Notebook.
• Implemented and followed Agile development methodology within the cross-functional team and acted as a liaison between the business user group and the technical team.
• Implemented and enhanced CRUD operations for the applications using the MVC (Model View Controller) architecture of Django framework and python conducting code reviews.
• Responsible for Working with various Python integrated development environments like PyCharm and Jupyter Notebook.
• Work in a Python-based environment, along with data analytics, data wrangling, and Excel data extracts. Familiar with Pandas and SciPy.
• Worked in Software Development Life Cycle (SDLC) and Waterfall Methodologies
• Used Collections in Python for manipulating and looping through different user-defined objects.
• Developed server-based web traffic using Restful API’s statistical analysis tool using Flask and Pandas.
• Built various graphs for business decision making using Python Matplotlib, SciPy, and NumPy for Numerical analysis.
• Working on various Integrated Development Environments like PyCharm, and Jupyter Notebook.
• Build SQL queries for performing various CRUD operations like create, update, read, and delete.
Dear TERMINAL team,
I hope you are well.
I am personally engaged with the blockchain industry since mid of 2016 and a friend of mine referred your listing to me.
So much can be said about TERMINAL, the blockchain industry, DApps on Ethereum / EOS etc., why don’t we have a call to gauge what each party can bring to the table.
For an initial overview, please find below a set of application materials:
Especially the first work-sample document “3. Work-sample APAC - Kraken Business Development Report“ highlights my interest and engagement with the industry.
I would be delighted to hear back from you soon.
Thank you for your consideration and time.
I am proficient with:
Libraries: TensorFlow, Scikit-Learn, Numpy, Keras, PyTorch, LightGBM, Eli5, SciPy, Theano, Pandas
Algorithms: Principal Component Analysis (PCA)/SVD, Linear regressions, K-Means Clustering, Logistic Regression, Support Vector Machines (SVM), Feed-Forward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Conditional Random Fields (CRFs), Decision Trees
Other Tools: Caffe, MXNet, Pytorch, OpenCV, Jupyter, LATEX, Vim, SolidWorks
SDLC Approach: Agile, DevOps, Kanban
I can back my tech stack up with my job history, which you can find in my resume. You can also check out my Github but it is made up of boilerplate projects that are not finalized. I do not feel that they are accurate representations of the quality of work that I bring as a full-time employee but it will give you a sense of the technologies that I work with frequently. Most of my work has not been open-sourced, unfortunately.
Hi. I've been looking for an opportunity to work remotely in order to improve my tech and communication skills to relocate in the next few years. I'm experienced at working on both frontend and backend but for the past year or so, I'm mostly working on frontend stuff during the past few years.
Please check my LinkedIn profile to see my latest up to date profile.
I am a great fit for this job due to my professional/academic background and interest in Liquidus' product portfolio.
Within the past few years, I've demonstrated a strong interest in the cryptocurrency market through my experiences both inside and outside the office. These experiences include trading cryptocurrency on a number of different exchanges, completing a blockchain strategy course, networking at blockchain/cryptocurrency events, working at a cryptocurrency exchange as a Customer Experience Associate, and working under the Head of Product as a Product Manager at a digital identity, blockchain startup.
Despite the many advances in the blockchain space, the technology still struggles to be adopted by the general public and enterprises. With products such as the Corporate Services Platform Pilot and Federated Digital Identity, I believe Liquidus is taking the right steps to achieve more widespread adoption of blockchain technology.
I have a passion for crypto and I'm eager to contribute to this industry. Previously, I've written for CoinDesk, placed first in Messari's Student Research Competition, and taught an Intro to Blockchain course at my University. Please reach out with any questions or comments and I feel this would be a great fit.
Please, consider my most recent achievements:
- Released MVP and finished 3 aux contracts (early-stage startup, as Lead dev)
- Built and led a team of interns (helped them to become professional software devs)
- Implemented REST API integrations (late-stage startup, 50+ microservices)
And key facts about my expertise:
- 6+ years with JS (ES6+, Node.js)
- 5+ years with databases, SQL/NoSQL (including PostgreSQL)
- 2+ years with DevOps (including Docker, k8s)
I have been in the block-chain industry for about 2 years and I was active in many ICOs and other ventures ding various different tasks such as software development, team mentoring, customer facing positions, team building. Before that I was a Wealth Manager in Qatar for 4 years dealing with high net-worth individuals and managing there investment portfolios.
I have plenty of experience in distributed systems. I have worked for (very) large, mid-size and small companies. I have taken too many roles through-out my life, from back-end, front-end, tester and devops to dba and even a small project management task.
Though I have explored a number of fields of work, I have always been drawn to doing computational analyses, research and data science. I first discovered this passion when I conducted research after graduating college. Through this experience, I gained a unique set of skills that sets me apart from other data scientists. I improved my programming skills and data analysis techniques, but I also learned a lot about various methods of research design, preparing data visualizations and completed work to a variety of audiences, working with teammates in other specialities and so on. Since that experience, I have deepened my knowledge and experience greatly in regards to statistical analysis, machine learning models and algorithms, and database utilization. I have also taken steps towards developing the skills of DevOps engineer, working with Docker, Kubernetes, Jenkins, bash scripting and more. Because of this very unique compilation of skills and experience, I think I would bring great new perspectives to the Digital Assets Data team and help contribute to its innovative success.