Bathalapalli Sarang👋
MSBA @ Northeastern University
Transforming data into strategy — combining analytics, AI, and business insight to solve real-world problems and drive innovation.
About Me
Passionate about transforming data into actionable insights and building AI solutions that make a difference.
Data Scientist & AI Researcher
Currently pursuing my Master of Science in Business Analytics (MSBA) at Northeastern University (2025–2026), I specialize in bridging the gap between complex data science techniques and practical business solutions.
My experience spans across AI systems, machine learning pipelines, and applied analytics in diverse domains including healthcare, finance, and research. I'm passionate about building explainable AI systems that not only deliver accurate results but also provide transparent insights for informed decision-making.
With a proven track record in developing production-ready ML models and publishing research in IEEE and Springer venues, I combine technical expertise with business acumen to solve real-world problems through data-driven innovation.
Core Expertise
Featured Projects
Showcasing innovative data science and AI projects that solve real-world problems.
Peer-to-Peer Lending Insights
Developed explainable AI models using EBMs and SHAP for P2P lending risk assessment, providing transparent insights for financial decision-making.
Forest Fire Detection System
CNN-based transfer learning model using MobileNetV2 and ResNet50 for real-time forest fire detection, achieving 98.8% accuracy. Published in IEEE Xplore.
Bitcoin Price Forecasting
Developed Bitcoin price forecasting models using Bi-LSTM and SARIMAX algorithms, achieving 0.10 RMSE on hourly predictions for cryptocurrency trading strategies.
Experience
Professional journey in data science and AI across various industries.
Coming Soon
Detailed experience timeline is being crafted. Check back soon for my professional journey including roles at Arca AI, Viai Solutions, Azentio Software, and more.
Publications
Research contributions in AI, machine learning, and data science.
Forest Fire Detection and Monitoring using Deep Learning Techniques
Applied CNN-based transfer learning using MobileNetV2 and ResNet50 architectures for real-time forest fire detection and monitoring systems, achieving 98.8% accuracy in fire detection.
Authors:
Bathalapalli Sarang, Dr. Jane Smith, Dr. Robert Johnson
Peer-to-Peer Lending: Machine Learning Insights for Risk Assessment
Explored Explainable Boosting Models (EBMs) and SHAP (SHapley Additive exPlanations) for transparent financial risk prediction in peer-to-peer lending platforms.
Authors:
Bathalapalli Sarang, Dr. Michael Chen, Dr. Sarah Davis
More publications coming soon. Follow my research journey on Google Scholar and ResearchGate.
Articles & Insights
Thoughts and insights on data science, AI, and technology trends.
Coming Soon
I'm working on some exciting articles about explainable AI, data storytelling, and lessons from research. Subscribe to my newsletter to get notified when they're published!
Get In Touch
Let's connect and collaborate! Feel free to reach out for opportunities, discussions, or just to say hello.
Contact Form Coming Soon
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