AR.

Master of Science in Data Science

Aug 2024 - Present

The George Washington University, DC

Currently in my first smester courses studying Intro to Data Science, Intro to Data mining, and Data warehousing

Bachelor of Technology

Sept, 2020 - May, 2024

Presidency University, Bangalore, India

Pursued B.Tech in Computer Science and Engineering (Specialized in Artificial Intelligence and Machine Learning) with GPA of 8.27/10

Image Classification for Optimised Prediction of Leukemia Cancer Cells using Machine Learning and Deep Learning Techniques

• Researched and proposed LDSVM (LR + DT + SVM) has more effective model for Image classification. Published in IEEE Conference at Graphic Era Hill University (ICIDCA), April 2023

Data Science for Sustainable Development

Data Scientist Consultant

Oct 2024 - Present | Washington D.C.

• Designed strategy to reduce overall energy waste across 10 university buildings by 16%+ annually. Researched energy consumption patterns using Random Forest algorithm to identify peak usage times.
• Analyzed energy benchmarking data from 50+ university buildings, identifying critical factors impacting resource efficiency and sustainability trends to guide further research initiatives.
• Implemented unsupervised learning techniques, such as clustering and PCA, to detect anomalies in energy usage, identifying inefficiencies in building operations.
• Developed and deployed an interactive Streamlit app using Folium on Streamlit Community Cloud, enabling researchers to explore university building energy data through dynamic visualizations.

Factocart

Data Scientist

Mar - Aug 2024 | Bangalore, India

• Enabled strategic decisions about client acquisition and sales that drove 11% boost in overall sales within 6 months by analyzing 10GB+ datasets fetched from AWS S3.
• Predicted customer demand with 92% accuracy, leading to 13% reduction in stockouts and optimizing inventory management across 10+ product categories using machine learning models.
• Performed hypothesis and A/B testing to evaluate the effectiveness of marketing campaigns, identifying high-performing strategies that led to a 15% increase in conversion rates.
• Created 20 detailed analytics reports using Power BI that provided actionable insights for decision-making; this initiative enhanced data visibility and led to a more efficient sales strategy implementation.

National Changhua University of Education

Research Intern

Sept 2023 - March 2024 | Changhua, Taiwan

• Engineered dual-layer biometric authentication system integrating DeepFace for facial recognition and MFCC features for voice recognition, enhancing overall accuracy by 30% over traditional single-modal systems.
• Analyzed biometric authentication performance across diverse datasets, leveraging statistical techniques to validate system reliability and effectiveness.
• Developed web application using Flask and Python to retrieve 1,000+ authentication records from NAS servers on Raspberry Pi; achieved reduction of storage space by approximately 23%, enhancing system efficiency.

Wodo

Web-Developer Intern

Jun 2022 - Aug 2022 | Bangalore, India

• Led the development and implementation of backend functionality for two projects using Python, Flask, and SQL, improving website performance and reliability.
• Formulated predictive analytics through the implementation of a Random Forest model with precision metrics at 96%, yielding critical insights which addressed inventory shortages and increased customer satisfaction levels.
• Improved the sales prediction model with feature engineering, which increased forecasting accuracy by 12% and reduced errors by 20%.