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Sudheer Kumar Gandiboyana

Aspiring Machine Learning / AI Engineer · Data & Business Analyst
[email protected] +1 773-433-6054 linkedin.com/in/sudheergsk github.com/sudheer-050 Chicago, IL

MS Business Analytics candidate (GPA 3.925) retraining toward Machine Learning Engineering by rebuilding every concept I learn into a shipped project within weeks — a published PyPI package with a full test suite, a production chat app serving real users, and a 293-test multi-agent AI platform built solo. 2+ years of analytics experience turning messy data into measurable business decisions. Currently deepening production ML/MLOps practice and intend to keep learning this way indefinitely.

Experience

Data Analytics Intern
Unified Mentor
  • Analyzed 100K+ Amazon sales transactions in Power BI and R, driving a 10% increase in targeted customer segment sales.
  • Built predictive HR attrition segmentation models in Tableau, improving overall retention by 10%; cleaned 1M+ records across systems with Python and SQL.
Junior Engineer
Hetero Labs Limited (Unit-IX)
  • Reduced filtration cycle time from 8 hours to 45 minutes via an Automatic Vertical Filter Press, improving productivity by 7%.
  • Led adoption of new methodologies across 8 team members (+50% execution speed) and drove 100% safety-training compliance (-30% incidents).

Projects

Hagent — Self-Hosted Multi-Agent AI Orchestration Platform
  • CLI + web dashboard orchestrating pluggable AI runtimes (Claude, OpenAI, Ollama) with automatic failover and cron-triggered rebalancing — ~11,500 lines, 293 passing tests, solo-built in ~1 month.
bizpack — Open-Source Pandas Data-Cleaning Library
  • Published library cleaning messy corporate spreadsheets (mixed currencies, dates, footer inflation); 43 unit tests, 100% pass rate, with a Streamlit demo and versioned releases.
HAI Messenger — Self-Hosted Encrypted Chat App
  • End-to-end encrypted chat app with real-time messaging, voice notes, and a local-LLM assistant; deployed on Docker + Cloudflare Tunnel with GitHub Actions CI/CD, serving real users.
MorningStar — NLP Industry Classifier
  • TF-IDF + LinearSVC pipeline classifying text into 145 hierarchical GICS industries, reaching macro F1 ≈ 0.83.

Skills

Data & Analytics: Python, SQL, R, Power BI, Tableau, Statistical Analysis
ML & Deep Learning: scikit-learn, TensorFlow, PyTorch, XGBoost, NLP, LLM Agents
Engineering: FastAPI, Flask, Node.js, Docker, PostgreSQL, Git/GitHub Actions
Business: KPI Design, Forecasting, Process Optimization, Stakeholder Reporting

Education

Master of Science, Business Analytics
DePaul University, Kellstadt Graduate School of Business — Chicago, IL · GPA 3.925
B.Tech, Chemical Engineering
Rajiv Gandhi University of Knowledge Technologies — Nuzvid, India

Certifications

Deep Learning Specialization — DeepLearning.AI (2026) · Machine Learning Specialization — Stanford Online (2026) · Career Essentials in Business Analysis — Microsoft & LinkedIn Learning (2024) · Career Essentials in Data Analysis — Microsoft & LinkedIn Learning (2024)