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Data Analytics graduate with expertise in Python, SQL, and advanced visualization platforms targeting data scientist and AI/ML engineering roles. Delivered predictive modeling solutions, interactive dashboard development, and big data analytics initiatives using machine learning algorithms. Demonstrated proficiency in statistical analysis, ETL processes, and cloud-based data solutions through academic coursework and project implementation. Experienced in transforming complex datasets into actionable insights using Tableau, Power BI, and advanced analytical methodologies.
University Of Niagara Falls
ITM (SLS) Baroda University
This project explores the Sakila DVD rental database using advanced SQL techniques including window functions, subqueries, and multi-table joins. I developed five analytical queries that answer real business questions about rental patterns, pricing strategies, and customer behavior.
Analyzed 1.08M customer records using Power BI and k-means clustering. Logistic regression achieved 78 percent accuracy, revealing key risk factors: education, $100K–$300K limits, and age 30–45.
Used Monte Carlo simulation and mean-variance optimization on 25 years of Finance, Tech, and Energy stock data. The optimized portfolio delivered a 1.051 Sharpe ratio, 12.4 percent annual return, and 8.9 percent volatility, outperforming the equal-weight baseline (0.919 Sharpe, 10.7 percent return).
Built a diabetes prediction model using the BRFSS 2015 dataset (253K records, 22 features). Compared Logistic Regression (75%), Decision Tree (88%), and Random Forest (92%) models. Applied feature transformations on BMI and PhysHlth; Chi-square test confirmed HighBP correlation (p<0.05). Achieved strong accuracy with AUC=0.80.
About Created a Tableau dashboard combining CMS performance and readmission cost data. Added ownership-level aggregations, interactive filters (state, hospital type), and a What-If parameter for 25% staffing changes. Features include quality vs. timeliness scatter plots, KPIs, ownership comparisons, and cost forecasts through 2028 (~$15K avg).
Created interactive Tableau dashboards using CMS Hospital General Information (4,800+ hospitals). Patient/Regulator view highlights state-level quality and safety comparisons; Investor/Staff view shows Pareto insights (20% of states hold 80% of top hospitals). Added toggles for mortality, readmission, and timeliness metrics.
O.N.G.C
Developed optimized data pipelines and reporting processes using Python, Django, FastAPI, Oracle SQL, and PostgreSQL, resulting in a 25% reduction in overall data processing time. Applied machine learning-based data mining tools for determining trends in the operational system and predicting the patterns that would emerge in the future. Created and managed data warehouse solutions using Oracle databases and Databricks platforms to process large amounts of data. Handling integrated structured and semi-structured datasets using PostgreSQL and MongoDB for analytical flexibility and enhanced accessibility of the information. Developed and implemented interactive dashboards and KPI reports on D3.js, Power BI, and Tableau for real-time performance tracking and executive-level reporting. Worked with multidisciplinary teams, like engineering, operations, and analytics, to optimize data, dashboards, and reporting for more than 50 stakeholders. Designed and delivered end-to-end analytical solutions from data ingest and transformation to dashboards and findings, exhibiting strong analytical and ownership skills.
Immence
Conducted user behavior analysis and A/B testing to redesign SaaS product interface, improving user engagement metrics by 18% through data-driven insights.
Analyzed website performance data using analytics tools, identifying optimization opportunities that enhanced user experience and increased conversion rates by 12%.