A data science and data engineering enthusiast
Currently interning at TD and studying Management Engineering at UWaterloo. Explore my portfolio to see how I’m turning my passion into data-driven solutions. Let’s connect the dots with data.
About me
Passionate about data, I’m a data engineering enthusiast bridging theory and practice to drive innovation and insights.
Optimizing data solutions for efficiency.
Dedicated to the dynamic field of data engineering and fully engaged in academic pursuits at UWaterloo. As an intern at TD, I actively contribute to the evolution of data solutions and process optimization. My passion for data fuels my drive to make a meaningful impact, unlocking innovation and insights. With a strong academic foundation and practical experience, I’m eager to bridge the gap between theory and real-world application, leveraging data as a catalyst for transformative change in the digital landscape.
Check Some of My Recent Work
Vanderbilt University Case Study
Sales Analysis of Happy Cow Icecream
JobHere
Airbnb Analysis for Seattle
Work Experience and Academics
Data Engineer Co-op
TD Bank Group
- Contributed to the enhancement of data ingestion patterns, boosting productivity and efficiency.
- Conducted impact analyses for processes, providing key findings for Hadoop migration.
- Transformed CI/CD pipelines, increasing efficiency and saving 60% of time.
- Collaborated with cross-functional teams to drive data-driven decision-making.
📍 Toronto, Canada
Quality Engineer Co-op
TD Bank Group
- Specialized in API Automation, conducting integrations and various testing methodologies.
- Utilized RestAssured framework in Java and Parasoft SOATest tool to assess policy claim APIs.
- Prepared and executed test cases, including sanity, smoke, and regression tests.
- Ensured data security and integrity by identifying vulnerabilities and implementing solutions.
- Collaborated with development and quality assurance teams to maintain high product standards.
📍 Toronto, Canada
Software Engineer
BuyerAssist.io
- Enabled bi-directional data sync for 100k+ customers: Integrated BuyerAssist with HubSpot and Salesforce CRM.
- Built REST and GraphQL APIs for CRUD operations: Utilized MySQL, MongoDB, and AWS DynamoDB.
- Implemented event-driven framework with REST hooks: Enabled dynamic event subscriptions, triggering actions via AWS EventBridge.
📍 Pune, India
Machine Learning Engineer
Renesas Electronics Corporation
- Trained custom YOLOv4 object-detection model in PyTorch for auto-annotation and vehicle classification.
- Designed a proprietary kernel-based ML model achieving 93.2% accuracy in speed ticketing on 15k samples.
- Created a Python-based queue management system for automated traffic signals tailored to the Indian traffic environment.
📍 Bangalore, India
Masters in Management Engineering
University of Waterloo
Quantitative Data Analysis, Operations Research, Statistics for Data Analytics, Operations Analytics
📍 Waterloo, Canada
B.Tech., Electronics and Communication Engineering
National Institute of Technology, Trichy
Probability and Statistics, Data Structures and Algorithms
📍 Trichy, India
Technical Skills
“Data Engineering and Analytics Proficiencies”
