CV

Summary

Data professional with 5+ years of experience in analytics and data-driven decision-making. Strong background in statistical analysis, pattern recognition, and transforming complex data into actionable insights.

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Skills

Programming: Python (NumPy, Pandas, Polars, Scikit-learn) · SQL · PL/SQL
Data Processing: ETL · Data Mining · Data Quality Analysis · Process Optimization
Big Data & Cloud: PySpark · Airflow · DBT · Azure ML · AWS Lambda · Oracle Cloud
Visualization: Plotly · Matplotlib · Seaborn
Additional: Statistical Testing · Project Management · Stakeholder Communication

Experience

Senior Data Analyst

Feb 2025 - Present

McAfee - Toronto, Canada

In this role since February, I've worked on multiple value creation projects across retail, marketing and customer analytics domains.
Worked closely with C-Suite executives to align data initiatives with business objectives.
I've led the data analysis in multiple projects with cross-functional teams, leading the data analysis and presentation efforts, supporting value creation initiatives upwards of $50M in annualized revenue.
Created Random forest models to estimate user churn and product issues based on customer feedback and usage data, improving retention strategies.
Developed over 20+ dashboards and reports using Power BI and Tableau to visualize key performance indicators (KPIs) for marketing campaigns and customer behavior analysis.

Technology: Databricks · Python · SQL · Power BI · Tableau ·

Domain: Marketing · Retention Analytics · Customer Segmentation · Financial Reporting ·

Senior Data Analyst

Aug 2022 - Jan 2025

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.

Technology: Python · Polars · Pandas · NumPy · SQL · Pyodbc

Domain: Enterprise Risk · Basel III · Financial Reporting · Data Quality · Data Governance

Technical Consultant

Jul 2019 - Jul 2022

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 5x.
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.

Technology: PL/SQL · Oracle Database · Python · Oracle E-Business Suite · Java · Git

Domain: Supply Chain Analytics · ERP · Business Intelligence

Education

MSc - Data Science and Analytics

Sep 2023 - Sep 2024

Toronto Metropolitan University, Toronto, Canada

GPA: 4.33/4.33
Coursework: Deep Learning, Big Data, NLP, Data Mining
Research: Developed an LLM-augmented recommendation system, improving prediction accuracy by 5-10%
Conducted comparative analysis of classification algorithms for tabular data
Analyzed world energy consumption trends using Hive and Spark
Designed NLP models for text analysis