📄 Resume · 🌐 Portfolio · ✉️ Email · 💼 LinkedIn

• 🎓 B.Tech CSE (Data Science) — completed, CGPA 7.4
• 🤖 Former AI Trainer at Outlier — LLM evaluation & prompt quality assessment
• 📊 2 end-to-end ML & BI projects, built and deployed
• 📈 Worked with datasets up to 100K+ records across ML & BI projects
• 💼 Open to entry-level Data Analyst, ML & GenAI opportunities

B.Tech CSE (Data Science) graduate who builds and deploys real ML models and data tools — not just notebooks. Previously worked as a Remote AI Trainer / NLP Prompt Evaluator at Outlier, evaluating model outputs. Currently looking for entry-level Data Analyst, ML, and GenAI roles — open to internships, full-time, and remote work.

• Machine Learning — Model building & deployment (Scikit-learn, classification, hyperparameter tuning)
• Data Analysis — EDA & visualization (Pandas, NumPy, Seaborn, Plotly)
• Business Intelligence — PostgreSQL data modeling, DAX, interactive Power BI dashboards (DirectQuery)
• AI/LLM Tools — LLM APIs, prompt evaluation
• Automation — Flask/Streamlit apps, API integrations

End-to-end ML pipeline classifying 48,895 NYC Airbnb listings into 3 room types — ColumnTransformer preprocessing, 4-classifier benchmark, and a production FastAPI + JavaScript app.

Dataset: 48,895 listings (Kaggle) Result: Random Forest tuned via RandomizedSearchCV — 85.6% accuracy, 0.742 macro F1 Deployed: FastAPI backend + JS frontend, live on Render

🔗 Shubham1919284/Room-Type-Predictor---NYC-Airbnb 🔗 Live

End-to-end BI solution modeling ~100K Brazilian e-commerce orders — PostgreSQL relational schema, 5-view SQL semantic layer, and a 9-page Power BI dashboard on DirectQuery.

Dataset: ~100K orders across 9 relational tables (Kaggle) Result: 26 DAX measures · $14.2M revenue tracked · 93.23% on-time delivery · 4.03 avg rating Tech: PostgreSQL · SQL · Power BI · DAX · DirectQuery

🔗 Shubham1919284/olist-ecommerce-bi-dashboard

Languages: Python · SQL

Machine Learning: Scikit-learn · Pandas · NumPy

Databases & BI: PostgreSQL · Power BI · DAX · DirectQuery

Visualization: Matplotlib · Seaborn

Development & Tools: FastAPI · Flask · Git · GitHub · Jupyter · VS Code

📧 Email: sk1919284@gmail.com

💼 LinkedIn: https://www.linkedin.com/in/shubhamkr-jha

🌐 Portfolio: https://shubham1919284.github.io/Portfolio/

⭐ Open to entry-level Data Analyst, Machine Learning, AI and GenAI opportunities.