I am a Data Scientist and Analytics Professional with 15+ years of experience driving business impact through data.

I combine:

• 📊 Business strategy + analytics
• 🤖 Machine learning + statistics
• 📈 Data visualization + storytelling

💡 My strength is translating complex data into actionable insights for real-world decision-making.

✔ Strong mix of business + data science
✔ Experience in real-world decision systems (not just models)
✔ Hands-on with end-to-end ML pipelines
✔ Ability to communicate insights to executives and stakeholders

Python • SQL • R • SAS • Excel • Google Sheets

Pandas • NumPy • SciPy • Scikit-learn • XGBoost

Matplotlib • Seaborn • Tableau • Power BI

TF-IDF • Feature Engineering • Semantic Similarity
Sentence Transformers • OpenCV • YOLOv8

Hypothesis Testing • A/B Testing • Probability • Inferential Statistics

NLP | Sentence Transformers | XGBoost | Streamlit

• Built end-to-end semantic similarity pipeline (~450K dataset)
• Used MiniLM embeddings (384-dim)
• Engineered:
  • cosine similarity
  • embedding interactions
  • lexical features
• Compared multiple models → XGBoost selected
• Optimized using threshold tuning
• Deployed with Streamlit

👉 Repo: (Add your link here)

YOLOv8 | OpenCV | Computer Vision

• Built real-time detection pipeline
• Extracted structured insights from video
• Applied for:
  • traffic monitoring
  • surveillance
  • smart city analytics

Problem Solving           ████████████████████  95%
EDA & Insights            ███████████████████   92%
Business Thinking         ████████████████████  96%
Machine Learning          ████████████████      84%
Statistics                █████████████████     86%
NLP                       ███████████████       82%
Computer Vision           █████████████         78%
Visualization             ███████████████████   90%
SQL                       █████████████████     88%
Deployment                ████████████          70%

• 🚀 MLOps & Deployment
• ⚙️ Production ML Systems
• ☁️ Cloud (AWS / GCP)
• 📡 Model Monitoring
• 🧩 Feature Engineering at Scale

• 🎓 MS in Data Science — University of Colorado Boulder (In Progress)
• 🎓 BSc — Tribhuvan University

• 📜 Google Advanced Data Analytics
• 📜 Machine Learning with Python
• 📜 SQL for Data Science
• 📜 Probability for Data Science

• 💼 Data Scientist
• 💼 Machine Learning Engineer
• 💼 Applied AI / NLP
• 💼 Business Data Scientist

“Turning data into insight — and insight into business impact.”