I have been working actively in the DeFi space for 3 years and have led teams to build AMM based perpetual products, Smart contracts for DOVās and Structured Financial Products while collaborating with business and finance teams in architecting high functioning on-chain protocols.
I have also developed all the monitoring apps for these SMs based on Graph, Typescript and Golang.
I have been working as a Software Engineer for 7 years. I love to build things from scratch and have done this in the past many times in Python, Golang, NodeJS. I have also led teams in creating apps in these languages.
I have extensive experience in databases like MySQL, Postgres, MongoDB and cloud providers like DO, AWS and GCP.
Summary
⢠Blockchain Developer with 8+ years of software development experience
⢠Proficient in Smart Contract design, development, and deployment.
⢠Strong programming skills in Solidity, Python, and JavaScript with TDD
⢠Hands-on experience in ERC20, ERC 721/1155 token standards, and token development on EVM chains like Ethereum & Polygon.
⢠Familiarity with enterprise blockchain solutions, consensus algorithms, and P2P networks
⢠Excellent knowledge of blockchain use cases like Cryptocurrency, Smart Contracts, Wallets, Digital Assets, Tokens, Decentralised Finance, NFT, NFT Marketplace, asset bridges, Oracles, and ZK protocols.
⢠Expertise in cryptography, digital signatures, hashing, contract security, and gas optimisation.
⢠Skilled in databases like MySQL, Hive, Google BigQuery, S3, and IPFS
⢠Web 3 libraries like Web3.js, Ethers.js, matic.js, Alchemy SDK, Polygon zkEVM
⢠Front-end tech like HTML/CSS, JS, React JS , Backend tech like Node JS.
⢠Integration libraries like Openzeppelin, Chainlink, Opensea, Infura
⢠Cloud services like AWS, Amazon Managed Blockchain, Microservices
⢠Tools like Docker, ChatGPT, GitHub and Unix
I've been doing web developer for the past 17 years, using mostly JS, Python, PHP.
I have experience with AWS and GCP. Serverless <3
Solidity learning - in progress
Web3 learning - in progress (worked on a few projects already)
Business-minded data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods; Research methodologies and big data capture, curation, manipulation, and visualization.
To, Portfolio: https://sites.google.com/view/roswin-fernandes/
Talent Acquisition Dept.
Crypto Geeks
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 KPIās of various crypto projects and their associated transactions using the Googleās 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. Iāve 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, NFTās, 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
Sincerely,
Roswin Fernandes
Please find below highlightās 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 Inflowās are significant when compared to the outflows.
-Select the top 3 depositors of the tokenās to this pool and checkout their transaction history to find out if they still have their tokenās in the pool or they have withdrawn it already.
-If the tokenās of the top depositorās are still present in the pool, we can go ahead and invest in that yield farm.
-Keep a close watch on the transactionās of these big depositorās, Incase if you find any significant withdrawal of the tokenās, 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:
a)Market cap:
- 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.
Applications:
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
holders.
-CDD values > than 20 million days = Trend Reversal(Macro Top/Bottom)
i) Dormancy:
-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 inflowās 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.
My name is Vinicius Santiago and I am a Full Stack Blockchain Developer recently graduated with a Bsc in Computer Science at Rio de Janeiro State University, the 8th best University in Brazil accordingly Center for World University Rankings (CWUR - https://cwur.org/), this is a public university that is hard to get in and even harder to graduate, something like the Ivy League in the USA.
I met blockchain at the end of my Computer Science Bsc. and since then I find myself immersed in this world, always studying, reading, informing myself and looking to know more about the technology that came to change all technologies.
Already worked as an IT manager coordinating the IT infrastructure of my last company and last September I made this career shift for something that I always made for love and fun, that is coding, starting to work remotely for Meld Gold, an Australia based gold Algorand blockchain company, as Full Stack Blockchain Developer building and maintaining projects in the MERN stack, React with Firebase Cloud Functions and Google BigQuery and Nodejs backend servers with Mongodb and Docker.
All the free time that I have I'm studying and building decentralized applications and smart contracts as a way to train myself. I have experience in Ethereum, Solidity, Javascript, React, Truffle and Web3.
I really want to be part of this revolution that has already started and nothing can stop and make my contribution so that the world of finance of tomorrow can be more accessible, transparent and decentralized.
Obsessed with web3 & crypto space and looking for opportunities to grow in this direction.
Developing software for 5+ years now. Experienced in web development. Quickly and easily mastering any new technology.
I was born with what you call a āsoft skillsā. Never spend a day without learning something new. Love to work on something meaningful.
Have a strong work ethic and principles. I like working in the flow and not being interrupted every half an hour. Good at setting goals and achieving them. Always asking myself if I am doing the most important task right now. Trying to ask the right questions.
Usually, the most positive person in the room š
Hi, Iām Lee Min Rong. But you can call me Henry. I was born and raised in Kuala Lumpur, Malaysia.
I graduated from Oxford University with a Bachelors and Masters in Engineering Science (Software and Information). Needless to say, I love science and technology, but I also have a taste for the non-sciences! Namely Business, Philosophy, Economics, History, and Linguistics. Come up with a topic and Iāll talk non-stop!
My current endeavours hover around education, business, and technology, not to mention the task of integrating all three fields. In particular, I view education as a means to improve the standard of living, technology as a catalyst to that process and finally, business as a vehicle to bring value to the masses. Perhaps my beliefs stems from my parents whose very profession depends upon the virtues of integrity, accountability, and fairness.
My friends say that Iām eccentric, wacky and passionate. I have a habit of thinking, and an inclination to dress up in silly costumes during festivities. I also have a deep interest for NFTs and creative platforms (I play the piano).
I enjoy listening to jazz music, exploring new places and talking to people. Oh, and my favorite color is green!
Hi,
Iāve just came across JST Capital profile. Iām a software engineer with 7 years of experience. My background is in fullstack engineering though a bit more focused on the backend. and Iāve worked with different languages and technologies. For the last 4 years I have worked mainly with MERN stacks. I have recently started learning Go and Iām currently contributing on 2 projects open-source in that language so I'd say I'm getting familiar with it and I have also worked in the blockchain space for 4 years.
I think I could be a good fit. Iām sending you attached my resume and these are my LinkedIn (linkedin.com/in/federicoalconada) and Github (github.com/fedealconada) profiles.
Let me know your thoughts!
Thanks!
Federico
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.
Iām 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 š¤Æ) which covers all the main crypto ecosystems that are available nowadays and is being imparted by some of the best ETH developers from LATAM. Iām eager to learn new skills and keep growing as a person thatās why Iām 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,
Thanks.
Working on my Certified Cryptocurrency Trading credentials, The Global Blockchain Council. Microsoft Corporation: Experienced Business Development Manager, Strategic Relations and Marketing Manager, Routes-to-Market and GTM Program Design and Management, Alliance/Partner On-boarding & Management, CRM Application Design & Integrations, GreenIT, SaaS, Mobility, Virtualization, CRM Ecosystems, G-Suite Marketplace, Google Cloud Platform and Cloud Marketing Platform Integrations, Microsoft Azure & Microsoft 365 Business and Enterprise Applications, Lead Generation Platforms, e.g., MailChimp, HubSpot Sales,Google Ads, SEO and Google Analytics, BigQuery, Social Insights, Google Sheets and Forms, Adobe Creative Cloud, DocuSign, Google Mind Mapping,Microsoft Power B.I., Azure A.I., Azure Hybrid, Azure Machine Learning and Azure IoT (Internet of Things). Demonstrated history of Business Development, Sales and Marketing Quota Attainment, CAGR and ROI for Marketing Programs, Partner Account Management and GTM Goal Achievement. Skilled in Sales, Customer Relationship Management (CRM) Applications, Team Building, Leadership Development and Employee Engagement,360 Feedback Customization Based on Corporate Competency Models, Sales Management, Account Management, Operations Management and Supply Chain Management, Supplier Relationship Management, and Enterprise Software Sales. Bachelor of Business Administration - Majors in Finance & Marketing from Gonzaga University.
I am a Power BI developer that can handle both the technical aspects of data analysis (querying, modeling, report layout design) and also work as a business partner with key stakeholders. I have over 4 years of working experience as a data analyst and 12+ years total experience in the corporate world.
Crypto is a passion of mine and I am migrating towards the blockchain industry during 2021. I am hoping to work with exciting projects and also broaden my skill set beyond just the Power BI tools, for example Kafka, R, Python, Google BigQuery, etc.
Hi, How is it going?
For over 7 years, I have worked as a full-stack web developer in several companies and achieved lots of success.
I have expertise in the following frameworks and languages.
- JavaScript: React, Angular, Vue, Phaser, Babylon, C3/D3
- Python: Django, Flask, Tensorflow
- PHP: Laravel, Symfony, WordPress, CakePHP, CodeIgniter
- Database: MySQL, PostgreSQL, MongoDB, DynomoDB, Redis
- Mobile: React Native, Ionic, Kotlin
- DevOps/Service: AWS, Azure, Firebase, Google Cloud BigQuery, Analytics, Docker, Kubernetes, Travis CI/CD,
- Project Management: Trello, Slack, Jira, Scrum, Agile, Kanban, GitHub, GitLab
Most of the requirements are very matching with my skills and experience. I am available for a full-time job now and ready to have an interview for more discussion.
Looking forward to hearing from you
Thanks
I am a good fit for this role because I already have experience working with NodeJS and Golang. I have worked with gRPC, channels/waitgroups in golang in my personal projects and I should be able to smoothly transition that experience to products in production. I am also very keen on leveling up on CI/CD so that I can deploy and maintain my own pipelines.
I'm heavily involved in building DAOs on existing platform, as well as in full stack dialog from research to mathematics/economics, to network engineering, to developer onboarding... I've done it all in crypto and while I'm working on my own projects now I could really use a nice side income.
I seek a research, development, and education of a new global workforce leveraging blockchains & distributed ledger technologies.
I was part of Deutsche Bank's global algorithmic trading teams and have deep knowledge of corporate accounting system and ERP integration. I hope to combine these two aspects of my experience to solve new ground-breaking problems using distributed ledger technology.
I'm a product manager with 5 years of experience in building tech products and data driven marketing strategies. A former co-founder with actionable marketing and technical skills and prior work experience with some of the SEA regions pioneers. I've a solid experience within multiple domains like MarTech, AdTech, and Blockchain.
Professionally, I have worked for almost 10 years in the field of data science for progressive political campaigns and labor unions in the United States. My main area of expertise is building microtargeting models where I assign a score of 0 to 100 to up to 25 million voters at a time predicted their likelihood to support an endorsed candidate, likelihood to vote in an election or likelihood to take an action. I develop these models mainly using logistic regression, random forest, lasso regression, and CART using Stata, R and Python. I also have developed forecasting techniques using Bayesian methodology and data wrangled very messy data in large datasets of up to 50 million observations and 800 variables using SQL, Stata and R. Finally, I have interpreted my analyses in the form of written briefs and visualizations for lay audiences.
I also have lots of experience in all aspects of survey administration including writing questionnaires, sampling, matching respondents to back to the voter file, topline analysis, deep statistical analysis and reporting results to decision makers with actionable recommendations.
While working I supplemented my knowledge of statistics by taking 12 post-graduate credits in applied statistics. In May of 2014, I was awarded a Post-Graduate Certificate in Applied Statistics from Pennsylvania State University for my coursework in Introduction to Applied Statistics, Regression Methods, Analysis of Variance and Design of Experiments as well as Applied Multivariate Statistical Analysis. These courses strengthened my statistical knowledge, which was essential so I could advance in my career to where I am today.
I had the option to continue taking applied statistics courses through Pennsylvania State University to get a Master's Degree but I came to the realization that I did not want to be a statistician, I wanted to be a Data Scientist. Statistics is a necessary part of Data Science, so I am very happy I invested the time in becoming proficient in it. However, Data Science is so much more than Statistics, and I am very excited by its limitless applications. In āWhy Do we Need Data Science when we've had Statistics for Centuries,ā Irving Wladawksy-Berger said, āItās all about the difference between explaining and predicting. Data analysis has been generally used as a way of explaining some phenomenon by extracting interesting patterns from individual data sets with well-formulated queries. Data science, on the other hand, aims to discover and extract actionable knowledge from the data, that is, knowledge that can be used to make decisions and predictions, not just to explain whatās going on.ā I whole-heartily agree with Wladawksy-Berger.
This is why I got a masters of information and data science from the University of California at Berkeley, which I finished in 2018. The faculty understands that Data Science is truly a multi-disciplinary field as shown by its offering of a curriculum that covers statistics, data warehousing, machine learning, visualization, and a course on legal/ethical considerations.
I am a bitcoiner, I bought my first bitcoin in early 2013 and I am currently mining zcash with a friend. So I would be stoked to work with you all. I believe I am a good cultural fit from what I gather because I am egalitarian, humble, empathetic, I admit when I am wrong and strive to learn from my mistakes. I am also committed to personal growth. I believe that my international background is what led me to be this way. I was born and raised Washington, DC to an Argentinean mother and I have been living in Argentina for 4 years. In addition to Spanish, I also speak Portuguese and I have worked in Portugal for 6 months. I travelled all of Latin America for 16 months, and I have been to Asia several times.
Hi,
I'm an experienced engineer with a diverse background and a multifaceted skill set. The startup I joined recently is downsizing and I'm looking for a new role.
Please find my resume attached and feel free to check out my LinkedIn and GitHub profiles.
Best regards,
George
Hi,
Glad to discover your company. I am now available for new Golang/Solidity/Scala projects in New York City - or 100% remote.
More about me...
2 year on node.js,
2 years blockchain (solidity) development.
3 years cloud native Kubernetes/K8s vs AWS,
3 years streaming/message brokers (Apache Spark/Kafka vs Kinesis/Firehose)
3 years jenkins/docker containerization
4 years golang(go) development
8 years jvm (scala/java8/j7/j6) development
- Golang + Ethereum : Blockchain, geth/cli, Solitidy (solc) + web3.js
- Golang + AWS/Kubernetes : configuration, and backend (cloud) development.
- Golang + Scala/Java8: backend microservices (Akka/HTTP, grpc, rest.)
- Golang + NodeJS : realtime client-server websocket/socketio
Micro-batch ETL Streaming/Pipeline Skills
Kafka Streaming -> Spark Engine
Spark-Streaming -> Oracle/SQL
AWS MSK (Managed Streaming Kafka) -> Aurora/RDS -> PostgreSQL
Google Cloud Platform, DataFlow->BigQuery Table
Google Cloud Platform, PubSub->BigQuery Table
AWS API Endpoint -> Aurora/RDS -> PostgreSQL
Google Cloud Platform, Cloud Function->HTTP Trigger->BigQuery Table
Regards,
Andre Maurice
[email protected]
908 809 8963
I come from a data science background and for the past 4 years I've been building a variety of data intensive projects in areas like financial services, e-learning and tourism. In all of these, it was my responsibility to ensure of the great data-product specs, delivering the python code and negotiating with stakeholders.
While I've been doing this specifically for analytics and machine learning focused areas, I believe my skills are greatly applicable to be a general product manager for Hydro. I've taken as my goal to turn my hobby blockchain enthusiasm into a professional path.
I'd be glad to discuss this more in detail with you in person.