Nithya Kalyani Arumugam

Senior Data Engineer with 10 years of experience building and maintaining large-scale data integration solutions across banking, airline, and insurance domains. My experience includes designing and developing enterprise-grade ETL workflows using Ab Initio and building robust batch processing systems.

I completed my MS in Computer Science (Data Science), where I built expertise in machine learning, feature engineering, model evaluation, predictive and statistical analysis, hypothesis testing, and topic modeling, to complement my foundation in data engineering.

I also have hands-on experience in Python, SQL, AWS cloud services, and advanced data manipulation and cleaning techniques.

• Generative AI & Sentiment-Based Recommendation Web App, Developed an end-to-end recommendation engine using Yelp reviews and VADER Sentiment Analysis. Built a Flask backend and deployed the solution on AWS EC2, creating a scalable interface for real-time user insights.
• Bitcoin Price Prediction & Statistical Learning, Engineered a predictive model for cryptocurrency trends using OLS, Ridge, and LASSO regression. Optimized model stability through multicollinearity analysis and compared performance against Random Forest and Gradient Descent Boosting.
• Used Car Price Prediction (Advanced Statistical Modeling), Built and compared additive models in R; addressed heteroscedasticity using Weighted Least Squares. Utilized ANOVA F-tests and AIC/BIC criteria for feature selection, improving prediction accuracy for high-variance datasets.