I have always loved to challenge myself.
Right from researching and articulating 14 Research Papers to gaining 15 months of Corporate Internship Experience.
During my graduation, I worked as a Research Assistant with Dr. Sunil H Karamchandani (Dwarkadas J Sanghvi College of Engineering where I led the designs for Monitoring the Health of Developing Infants from Cardiotocography Using Statistical Machine Learning and AI-Based Nose for Trace of Churn in Assessment of Captive Customers.
I'm an MS DS grad student at Indiana University Bloomington with a passion for science, technology, and analysis.
I did research in Machine Learning in my undergrad and currently apply machine learning models on structured data and derive meaningful insights.
Please contact for any project or research collaboration.
Skillset Summary:
🚀)Programming: SQL, Tableau, R, MongoDB, Python (Numpy, Pandas, Scikit Learn, Seaborn, Azure ML Studio, Folium)
🚀)Machine Learning: Data Preprocessing, Regression Modeling, Random Forest, kNN Classifier, K-means Clustering, Feature Extraction (PCA, Factor Analysis), XGBoost, Support Vector Machine
🚀)Statistics: Inferential Statistics, Hypothesis Testing (A/B Testing), Regression Analysis
🚀)Soft Skills: Team Building, Initiative Driven, Team Player, Gardening, Reading, Travelling