o Conducted backtesting and implemented TAIMEX options mispricing/market-making HFT strategy using Python and C#, with a focus on effective risk management through Greek calculationso Developed stock strategies, including at-the-opening strategies, and further optimized them by integrating high-frequency and daily stock factors

o Automated ELT process for 50+ data sources in MSSQL and MySQL, anomaly/outlier detection in Python, and report generation on Google Analytics dashboards, which reduced 2+ days of manual work per month. o Predicted risk of 30+ illnesses with classification ML model and deep learning in TensorFlowo Developed a classification model on NLP transformer (BERT) to identify health-related texts, cleaning 20% of the databaseo Plotted knowledge graphs of the company’s articles with Neo4j to make a connection between the patient database and product/article recommendations on the media platform, boosting sales by 24%

o Designed a revenue-expense dashboard on Tableau o Build unsupervised text classifiers on predefined labels in Python, optimizing tagging in article recommendations