Data Analyst

New York, USA

• Engineered a credit risk analysis dashboard using SQL for data integration, Python (Pandas, Scikit-learn) for predictive modeling, and Power BI for visualization—empowering risk teams to identify high-risk loan segments and reduce default rates by 15%.
• Developed an automated reporting pipeline aligned with Basel III compliance, utilizing SQL stored procedures and Excel VBA, which reduced manual effort by 40% and significantly improved reporting accuracy for monthly regulatory submissions.
• Led a customer segmentation project using K-Means Clustering in Python on transactional data, visualized via Tableau, enabling targeted marketing strategies that increased customer engagement by 22%.

Data Analyst

Indianapolis, USA

• Built automated data pipelines with Python to integrate 5M+ patient records from SQL & AWS S3. Improved forecasting accuracy by 20% using regression models to support hospital resource planning.
• Enhanced data reliability by applying Pandas-based validation and Excel logic. Ensured data accuracy across downstream workflows and reports.
• Analyzed insurance claims to flag redundant services and reduce treatment costs by 10%. Delivered performance insights via Tableau dashboards that improved patient care timing by 25%.

Data Analyst

Bengaluru, India

• Analyzed 1M+ transaction records with SQL to uncover purchasing patterns. Improved sales forecasting accuracy by 15% and informed inventory decisions.
• Maintained and enhanced 10+ interactive Power BI dashboards using DAX & Power Query. Enabled real-time performance insights and faster reporting across departments.
• Applied advanced stats in Python (Pandas, SciPy) to uncover savings, reducing CAC by 10%. Delivered recommendations that optimized marketing spend and campaign targeting.
• Built robust cleaning pipelines with NumPy & Pandas to boost data integrity. Designed analytical models that improved customer insight and operational decisions.
• Developed inventory forecasting models using Scikit-learn & StatsModels and Cut stockouts by 15% and enhanced supply chain planning with 20% more accurate predictions.

Master of Science in Data Science

• GPA : 3.7
• Relevant Coursework : Optimization for Data Science, Statistical Methods, Applied Machine Learning, Probability Theory, Deep learning.
• Awarded the Provost Master’s Scholarship for the 2023-2024 academic year.

Bachelor of Technology in Electronics & Instrumentation Engineering

• Graduated Top 10%.
• Completed courses on Python, DataBases, Statistics, Instrumentation, SQL, Artificial Intelligence.
• Led the student engagement team at SVEC AIM Student Chapter.
• Conducted Techno Cultural sessions at MM 2K19.