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.)
Dear hiring manager,
I believe I am a qualified candidate for 3 reasons:
1. Solid ability to analyze large data sets and apply machine learning to solve business problems
I am proficient in SQL, Python, common ML models (e.g., Logistic Regression, XGBoost, Neural Networkโฆ), NLP, web-scraping, HTML
2. Experience of managing a small data analysis team (4 people) at Tencent
My duty covers a wide range from technical work to presentation to senior management and top executives. I can work with cross-functional teams and produce great results for teammates and leaders. I am very serious about my work.ย
3. A proven track record in both career and academic life
I have been given the award โExcellent Employee of the Year 2021โ at Tencent (top 10%). Before starting my career, I study mathematics at Oxford University and Liverpool University, which is a proof of my academic excellence and strong analytical skill.