Hello, I am

Mohan Datta Bayya.

1

Excel Project

2

PowerBI Projects

1

SQL Project

About Me

Hello! I’m Mohan, a Master's student in Computer Science at the University of North Carolina at Charlotte, specializing in Data Science and Machine Learning. I’m passionate about turning complex data into actionable insights and innovative solutions.

🔭 Current Research: I’m leading research in synthetic data generation using Generative Adversarial Networks (GANs) for fault prediction. This involves developing advanced ML algorithms and managing large datasets to improve predictive accuracy.

🌱 Learning & Growth: I’m expanding my skills in machine learning and data visualization, focusing on data storytelling, new domains, and creating interactive dashboards for engaging data presentation.

💡 My Philosophy: I believe in the power of data science and machine learning to drive meaningful change. My work is driven by curiosity, problem-solving.

Key Skills

Effective Communication

Statistics Analysis

Python

My SQL

Domain Knowledge

Presentation Skills

My Projects

My Experience

University of North Carolina at Charlotte, Charlotte – Machine Learning Assistant

Jan 2024 - May 2024

Designed and implemented a Generative Adversarial Network (GAN) to generate synthetic data for microservices security research, increasing dataset volume by 300%.
Conducted literature review of 50+ research papers, enhancing data realism by 40% and reducing false positives by 25%.
Built 3 machine learning models to validate GAN-generated data, achieving 95% accuracy in distinguishing real from synthetic samples.

Honeywell, Bengaluru – Data Analyst Intern

Jan 2023 - Jun 2023

Applied advanced data cleaning techniques (standardization, deduplication, and normalization), improving data integrity by 25% and operational efficiency by 20%.
Conducted ad-hoc and variance analysis using Pandas, Excel, and Power BI to evaluate sales, increasing actionable insights by 10%.
Optimized SQL queries, reducing data extraction time by 30% and enhancing reporting accuracy by 15%.
Developed a real-time monitoring dashboard in Power BI, improving sales strategy effectiveness by 20%.

The Sparks Foundation – Data Science and Business Analyst Intern

Feb 2023

Managed accounts receivable with a 95% collection rate, reducing outstanding balances by 20%.
Streamlined payment processes using data analysis, leading to a 35% reduction in overdue claims and a 15% increase in on-time payments.