Experience
Data Scientist
Aug 2024 - Present
BMR Infotek
I built an ML pipeline using regression algorithms to forecast revenue and customer churn, working with 3.5 million data points and implementing an RFM (Recency, Frequency, Monetary) model. By optimizing feature selection and hyperparameter tuning, I increased accuracy by 34%.
I extracted, profiled, and analyzed data from various sources using SQL and developed operational and financial dashboards to support decision-making.
Skills - Machine Learning, PowerBI, SQL, Deep Learning
Data Scientist
Dec 2022 - May 2024
Kelley School of Business
I Conducted data analysis using NLP techniques to classify and predict outcomes, extracting valuable information such as topics, sentiment, and named entities from text data. Led research projects related to television advertising, social media, and political marketing by collecting, coding, and analyzing data, contributing to the advancement of knowledge in these areas.
During this time I worked with
1. Prof. Fossen Beth (Professor in the Marketing Department)
2. Prof. Lopo L Rego (Chairperson of the Marketing Department)
Skills - Seaborn, Feature Engineering, Data Extraction & Transformation, Excel, and Machine Learning
Data Scientist Intern
Sep 2023 - Dec 2023
Twin Cities Innovation Alliance
I designed A/B tests using SQL and statistical modeling to evaluate website optimization. These tests involved employing SQL and statistical modeling to analyze data and assess the impact of changes made during a website optimization project.
I worked on enhancing the client's recommendation engine. This involved utilizing a combination of collaborative filtering, content-based filtering, and deep learning models. By leveraging user preference and behavior data, we were able to achieve a remarkable 20% increase in user engagement.
Skills - Statistical Modeling, A/B testing, SQL, and Data Science pipeline
Data Engineer
May 2021 - Aug 2022
Moonplexus Pvt. Ltd.
I deployed machine learning models for skin lesion classification using Tensorflow and CNN for Virtusa Technologies, USA. I also leveraged AWS EC2 for hosting the web application, and Amazon RDS for database management. I implemented the ETL to gather images, ensuring data integrity and optimizing data storage for efficient retrieval and analysis.
Skills - Tensorflow, Neural Networks, Node.js, AWS, Leadership, and Team Management
