Leela Sagar Gudhe | Grad Student in Data Analytics Engineering at George Mason University

Leela Sagar Gudhe

Grad Student in Data Analytics Engineering at George Mason University

Based in Fairfax, VA

About

Experienced data scientist skilled in machine learning, deep learning, and data engineering. Demonstrated expertise in creating and implementing complete machine learning pipelines, ETL scripts, and predictive analytic models. Highly adept in Python, SQL, Azure ML, and a range of tools for data visualization and statistical analysis. Achieved significant cost savings and efficiency improvements in previous roles. Collaborative team player with an eagerness for continuous learning.

Skills

Projects

Cement Strength Prediction

This project aims to build a regression model to predict the concrete compressive strength based on the different features. The model uses the data to learn the relationship between the input features and the cement strength, and is then able to make predictions.

YouTube Channel Analysis

This project is designed to collect data from famous Data Science YouTube channels using YouTube Data API and perform exploratory data analysis on the collected information.

Whatsapp Image Classifier

The WhatsApp Image Classifier is a convolutional neural network model designed to classify images shared on WhatsApp. The goal is to accurately categorize images into different classes, making it easier for users to organize and search their media.

Olympic Data Analysis and Visualization

This project aims to conduct a comprehensive analysis of Olympic data spanning the years 1986 to 2016. The goal is to provide insights into various aspects of Olympic history, including medal tallies, overall trends, country-specific performances, and athlete-centric analyses. The project also invol

Experience

2020 - 2022

Data Scientist at TCS

In this role, I successfully developed an end-to-end pipeline in AzureML for parcel volume forecasting, resulting in a 20% improvement in customer trip planning and significant cost savings. I implemented automated data management scripts for real-time processing and storage, achieving efficient operations. By designing optimized vehicle routing algorithms, I achieved a 26% improvement in customer operations. Additionally, I delivered actionable insights through data analysis, driving data-driven decision making for clients.

Education

2023 - 2025

Data Analytics Engineering at George Mason University

2016 - 2020

Information Technology at GMRIT