Background
3 years of experience working in the banking and Fortune 500 sectors. I hold a Bachelor's degree in Information Management and a Master's degree in Data Science and Business Statistics
Big data engineering
Built scalable and automated ETL pipelines that seamlessly integrate data from diverse sources, including email, Excel, websites, JSON, and databases. Leveraging tools such as SMTP, Selenium, BeautifulSoup4, and NLTK, etc.
data science
Deep understanding of supervised, unsupervised, and ensemble learning algorithms. developed product recommendation systems, propensity models, and anomaly detection solutions, utilizing scikit-learn, NumPy, PySpark, TensorFlow, and more.
Database
Experienced on data modeling and big data management. I am capable to handle the load time issue.
Data structure and algorithm
Excel at the nature of different data structures and algorithms and writing a good functional script with low space and time complexity
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