🚀 Data Scientist | AI Engineer | Financial Market Trader

With 2.8+ years of experience in data science, I specialize in transforming raw data into actionable insights and deploying end-to-end solutions that drive real-world impact. I'm also passionate about trading in financial markets with expertise in intraday strategies and options trading.

• 📍 Based in Mumbai, India.
• 💼 Currently working as an Data Scientist at LTIMindtree
• 🌱 Continuously learning new tools and techniques in AI, Machine Learning, Big Data, Cloud Platforms, and Financial Markets.

Client – MICROSOFT

1. GPT-Based RAG Accelator :
   • GPT-Based Retrieval-Augmented Generation (RAG) Accelerator
   • Designed and deployed a RAG accelerator to enable conversational AI on custom datasets.
   • Integrated Microsoft Azure OpenAI Services to incorporate GPT models for seamless natural language interactions.
   • Implemented semantic search and data retrieval using Azure AI Search.
   • Leveraged Azure Storage Containers for scalable and efficient data management, used CosmosDB for vector store.
   • Developed and deployed APIs using Azure Function API.

Client: ICICI Bank

1. ICICI One Bank One Flow:

   • Developed an end-to-end pipeline using Roberta NER transformers and Fasttext for intent classification.
   • Achieved 90% accuracy in customer name matching using Levenshtein distance and RapidFuzz NLP.
   • Created an RFM score model, helping ICICI Bank generate ₹7 Cr revenue in 2023.

2. ICICI Mortgage:

   • Built a Decision Tree model for home loan propensity scoring with LIME and SHAP for explainability.
   • Applied K-Means Clustering to segment mortgage customers into Elite, Loyal, and Ace categories.

3. Other Channel Movement Prevention:

   • Conducted EDA using Power BI and implemented regression techniques with TPOT.
   • Predicted customers' Monthly Average Balance to assist RMs in reactivating debit card users.

4. ICICI OBOF Trade and Trade Rules:

   • Developed models for identifying customers using Jaro-Winkler and Levenshtein distance.
   • Utilized XGBoost via PyCaret, achieving the best classification results.

• Crypto Signals with LSTM: Bitcoin price prediction using LSTM Neural Networks.
• Web Scraping TimesJobs: Automated job listing extraction using BeautifulSoup and Selenium.
• University Shortlisting System: Admission likelihood prediction using Linear Regression.
• Fashion E-commerce Success Prediction: Predicting product success using PyCaret in an object-oriented approach.
• FaceSwapper: Fun project leveraging face-swapping techniques.

• Microsoft Certified: AI Engineer Associate Associate (AI-102).
• Microsoft Certified: Data Scientist Associate (DP-100).
• Microsoft Certified: Azure AI Fundamentals (AI-900).
• Databricks Lakehouse Fundamentals.
• Instructor-Led Training on DataBricks.

• Bachelor of Engineering in Information Technology
  University of Mumbai (2018–2022) | CGPA: 8/10

• 🏅 2nd Prize in IBM Watson Hackathon (LTI Global).

• 📧 Email: [email protected]
• 💼 LinkedIn: Omkar Shirke
• 🐙 GitHub: IncognitoOmi

Financial Market Trading:

• Experienced in Nifty and Crypto Index Options Trading with a focus on intraday strategies.
• Skilled in using Open Interest (OI), OI Change, and Put-Call Ratio for market analysis.
• Proficient in Smart Money Concepts: Fair Value Gaps, Order Blocks, Liquidity Zones, and Market Structure.

If you like my work, feel free to connect and explore my repositories! 😊