Senior Data Science Professional with 5+ years of experience specializing in Credit Scoring & Decision Science at IMS Private Limited. Proven track record in building predictive models, developing automated data pipelines, and delivering actionable insights.

• 🏢 Current Role: Data Scientist at IMS Private Limited (Nov 2020 - Present)
• 🏛️ Previous: RVR Project (2015-2020), ENMAS O&M Services (2013-2015), Deepak Steels and Power (2011-2013)
• 🎯 Expertise: Python, SQL, SAS, Machine Learning, ROC Analysis, Feature Engineering
• 🌱 Currently Learning: AWS AI Practitioner Certification, Agentic AI with LangGraph
• 📍 Location: Bengaluru, India
• 🎓 Education: BTech in Instrumentation Electronics from BPUT Odisha

Languages & Tools:

• Python | SQL | SAS | PLC Ladder Logic
• Alteryx | Tableau | Power BI | Excel Advanced
• Machine Learning | Credit Risk Modeling
• LangGraph | LangChain | Agentic AI
• Cloud: AWS, Google Cloud

Core Competencies:

• Credit Scoring & PD Scorecards
• Financial Analytics & Risk Assessment
• ETL/ELT Pipeline Development
• Model Development (Logistic Regression, Decision Trees, Random Forest, XGBoost)
• Data Quality & Governance

Developed an agentic AI framework based on LangGraph for autonomous, tool-augmented chatbots. Implemented full SDLC phases with graph-based data structures and cutting-edge LLM techniques.

Engineered an automated blog-writing application using Python, LangGraph, and LLMs (Gemini, ChatGPT, Groq). Built interactive Streamlit UI with multi-stage draft, feedback, and revision cycles.

Designed AI-supported trading decision platform with autonomous agents. Integrated external APIs (Polygon, Google) and LLM-driven analytics. Delivered cloud-ready FastAPI backend and Streamlit dashboard.

Data Scientist | IMS Private Limited (Nov 2020 - Present)

• Performed end-to-end EDA, missing value treatment, and feature engineering for credit risk datasets
• Built and automated daily-to-historical data pipelines using Python, SQL, SAS, and Alteryx
• Developed PD scorecards and ML models for application & behavioral risk prediction
• Designed delinquency-based collection strategies, improving high-risk customer targeting
• Created dashboards and BAU reports using Tableau, Power BI, and Excel
• Built analytical DataMart and recommendation engine generating ₹450K annual revenue

• 🎯 Data Science & ML Interview Preparation
• 🔬 Credit Risk Scorecard Development
• 🤖 Agentic AI & LLM Applications
• 📊 Advanced Analytics & Model Evaluation
• 🌐 Industrial IoT & Automation

⭐️ From Icamtu