CV

McAfee · Toronto, Canada

• Led data analysis across multiple high-impact value creation projects spanning product analytics, retention, and revenue optimization.
• Performed root cause analysis to identify key causal factors behind product telemetry gaps and user churn, transitioning projects from analysis to execution.
• Created Random Forest models to estimate user churn and product issues based on customer feedback and usage data, improving retention strategies.
• Developed 20+ dashboards and reports using Power BI and Tableau to visualize KPIs for marketing campaigns and customer behavior analysis.
• Built data frameworks in Databricks to replace legacy spreadsheet-based models, automating reporting workflows.
• Regularly presented findings in executive reviews, defending data methodologies directly to senior leadership.

Bank of Montreal, via TCS · Toronto, Canada

• Developed a data quality framework for Enterprise Risk & Basel reporting using Python (Polars, NumPy, Pandas) and SQL, reducing manual validation effort by 90%.
• Engineered a synthetic data generation system to validate Basel reporting requirements, ensuring full regulatory coverage.
• Built an internal Python library automating data validation and reporting workflows, processing 10,000+ data points efficiently.
• Implemented an automated monitoring system to detect trends and anomalies in risk data.
• Collaborated with business analysts to transform complex data patterns into actionable insights.

Avery Dennison, via TCS · Mumbai, India

• Developed an analytics tool using decision trees and pattern recognition to classify order anomalies, achieving 85% accuracy in predicting order delays.
• Engineered an event-driven data processing system, improving order processing efficiency by 5×.
• Created an automated data adjustment utility, reducing resolution time from 4 hours to 15 minutes.
• Built a dynamic pricing and revenue optimization system, generating $100k+ annual savings.

Toronto Metropolitan University · Toronto, Canada

• GPA: 4.33 / 4.33
• Coursework: Deep Learning · Big Data · NLP · Data Mining
• Research: LLM-augmented recommendation system, improving prediction accuracy by 5–10%
• Comparative analysis of classification algorithms for tabular data; NLP models for text analysis

JSS Academy of Technical Education · Noida, India