Results-oriented Data Engineer with expertise in ETL pipeline development, automated data migration, and advanced machine learning models. Skilled in designing scalable data solutions, anomaly detection, and data visualization to drive operational efficiency. Proven ability to develop innovative solutions and provide actionable insights for business decision-making.
Overview
1
1
years of professional experience
Work History
Data Engineer
ChargePoint Technologies India Pvt Ltd
Bengaluru
06.2024 - Current
Engineered an anomaly detection solution for vandalized charging stations by analyzing driver session patterns, fault data, and support cases, using Isolation Forest, and integrating Slack-based reporting for proactive maintenance.
Developed a customer profiling solution to analyze driver behavior and trends, including session patterns, expenditures, and support interactions, with visualizations supporting sales, marketing, and operations teams.
Built an image-based solution for identifying reported charging stations using computer vision models and VLMs, enhancing support case accuracy.
Delivered a proof-of-concept for detecting damaged charging station parts using YOLOv8, improving fault identification efficiency.
Data Engineer Intern
ChargePoint Technologies India Pvt Ltd
Bengaluru
08.2023 - 06.2024
Built dbt SQL models to support the creation and enhancement of ETL pipelines, ensuring modularity and scalability in data transformation workflows.
Worked on setting up and monitoring ETL pipelines using AWS tools, ensuring robust data flow, and operational efficiency.
Conducted backend testing for data validation using SQL queries, ensuring the accuracy and reliability of data pipelines.
Automated the migration of over 200 Tableau dashboards and data sources using Python utilities and the Tableau Document API, saving hundreds of hours of manual effort.
Developed a Python-based web scraper to extract data efficiently from Google search results, and built a user-friendly GUI to simplify its usage.
Machine Learning Intern
SWECHA
05.2021 - 07.2021
Developed a computer vision model that was able to identify potholes on the roadways
Used libraries like Open CV and tensor flow to facilitate the process of image recognition and analysis
Used flask to construct a REST API for model deployment on the web interface
Other skills: data validation, API integration, Advanced analytics
Projects
Charging Station Ranking Tool: Designed a data model and Tableau visualization to categorize charging stations into value tiers, enabling data-driven investment prioritization.
Energy Demand Forecasting Model: Built regression models to predict energy trends and optimized performance with RMSE and R-squared metrics.