Highlights:

Skills:

Data Science Intern 06/2024 - 08/2024
Capital One, McLean, VA United States
Industry: Finance
Data science intern on the Anti-Money laundering team/fraud team. Built a machine learning project to validate credit card fraud SAR reports.
• Saved 20 FTE investigators' effort and operational costs by developing a data extraction, manipulation, feature selection, optimization, and visualization pipeline for a Credit Card Fraud SAR risk sloping classification project. • Created transaction aggregation features based on customer activity on Snowflake and Databricks, amplifying model efficiency. • Achieved a ROC-AUC score of 0.8 by optimizing Random Forest, XGBoost, LightGBM, and CatBoost models with advanced hyperparameter tuning tecquies. Fine-tuned model thresholds to enhance precision, recall, and reduce false positives rates. • Effectively communicated results to cross-functional leaders and product stakeholders from Fraud, AML and FIU teams, translating model outcomes and SHAP plots into actionable insights and demonstrating clear business impact.--
Data Science Engineer 07/2020 - 10/2022
Dataweave (Infoweave Analytics Pvt Ltd), Bangalore, Karnataka India
Industry: IT
Data Science Engineer on the Data Engineering team solving business problems related to e-commerce/retail and building data pipelines for data science projects.
• Collaboratively automated more than 10 agile end-to-end scalable data pipelines using Apache Airflow, Python, Kafka and AWS to integrate data sources, rest APIs and internal ETL frameworks for pricing intelligence and brand analytics projects. • Devised complex SQL queries to handle large datasets using AWS Athena, S3, Redshift to create value business and KPIs data. • Attained 50% reduction in text/image batch processing in the company's clustering algorithm by implementing dask library. • Designed dashboards and customized interactive reports using Tableau with pricing recommendations for customer growth.--
Data Science Intern 07/2019 - 06/2020
Dataweave (Infoweave Analytics Pvt Ltd), Bangalore, Karnataka India
Industry: IT
Data Science intern on the data team helping with data analysis and brand analysis.
• Developed and deployed 25+ Selenium and Python-based deep crawler bots to optimize e-commerce data scraping processes. • Performed data analysis and brand analysis to identify counterfeit products, ensuring brand protection and compliance with price benchmarks for enhanced market competitiveness. • Led the successful delivery of structured data by employing data-wrangling methods that unlocked business value for clients.--

BMS College of Engineering 09/2016 - 08/2020
Bangalore, Karnataka, India
Degree: Bachelor's Degree
Major:Computer and Information Science
Undergraduate engineering degree focused on computer and information science engineering.

Rakshak Kunchum