Skip to content
View sunkumx's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report sunkumx

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
sunkumx/README.md

πŸ‘‹ Hi, I'm Sunil Kumar

Welcome to my GitHub!

This space reflects my work and interests in Data Science, Business Analytics, and Applied Machine Learning across domains such as BFSI, E-commerce, and Retail.

I hold a Master’s in Business Analytics and specialize in designing data-driven solutions that enable organizations to make informed, scalable, and interpretable decisions. My work focuses on turning complex data into actionable insights while ensuring models are aligned with real-world strategies, policies, and business objectives.


🎯 Areas of Focus

  • Predictive Modeling & Forecasting: Customer behavior, demand forecasting, credit/loan performance, churn analysis
  • Segmentation & Personalization: Customer profiling, clustering, and recommendation systems
  • Risk & Fraud Analytics: Anomaly detection, rule-based and ML-driven fraud prevention
  • Model Monitoring & Governance: Performance tracking, fairness, explainability (LIME, SHAP), regulatory alignment
  • NLP Applications: Text classification, sentiment analysis, document intelligence for financial, retail, and e-commerce data
  • Business Intelligence: Dashboards, KPI tracking, operational efficiency analytics

🧰 Technical Skills

Languages and Environments
Python, SQL, Pyspark β€” Jupyter Notebook, Google Colab, VSCode

Core Concepts

  • Statistics & Analytics: Hypothesis Testing, ANOVA, Z-Test, T-Test, Chi-Square, A/B Testing, Experimental Design
  • Machine Learning: Regression (Linear, Logistic), Decision Trees, Random Forest, XGBoost, Clustering, Time Series Forecasting (ARIMA, Prophet, LSTM)
  • Advanced Techniques: Feature Engineering, Model Monitoring & Validation, Explainability (SHAP, LIME), Anomaly Detection, Recommendation Systems
  • NLP: Text Classification, Sentiment Analysis, Topic Modeling, NER β€” NLTK, spaCy, Gensim, Hugging Face Transformers
  • Data Engineering: Pandas, NumPy, PySpark, Featuretools, ETL Pipelines, Data Cleaning & Transformation
  • Visualization & BI: Matplotlib, Seaborn, Plotly, Power BI, Tableau β€” Storytelling with Data & KPI Dashboards
  • Deployment & MLOps: Docker, Kubernetes, MLflow, CI/CD Pipelines
  • Cloud & Warehousing: AWS (S3, Redshift, SageMaker), Google BigQuery, Snowflake, GCP (Vertex AI)
  • Version Control: Git, GitHub, GitLab
  • Project & Collaboration Tools: GitHub Projects, Jira, Agile/Scrum

πŸ“‚ Selected Projects

Project Domain Description
Credit Scoring Model Credit Risk End-to-end logistic regression model for risk-based lending with WOE/IV and scorecard implementation
Fraud Detection Engine Fraud Analytics Feature engineering and anomaly detection pipeline for first-party fraud identification
Nifty Sector Analysis Market Risk Return-based clustering framework for sectoral analysis and stock screening
Loan Default Predictor Credit Risk Classification model using borrower attributes and financial behavior
Coming Soon! Test Case Test.

✍️ Medium Articles

Currently working on articles related to model interpretability, credit scoring frameworks, and risk strategy.
πŸ“– Follow me on Medium


🀝 Let’s Connect

  • Interested in data-driven solutions for credit risk or fraud? Let’s discuss
  • Found something valuable? Feel free to star or fork the project
  • Have feedback or ideas? I welcome collaboration and open-source contributions

πŸ“« Reach Me


β€œIn numbers we find patterns, in patterns we find truth.”

Thanks for visiting! πŸš€

Pinned Loading

  1. LLM-and-GenAI-Projects LLM-and-GenAI-Projects Public

  2. Machine-Learning-Projects Machine-Learning-Projects Public

    Jupyter Notebook

  3. Natural-Language-Processing-NLP-Projects Natural-Language-Processing-NLP-Projects Public

  4. Deep-Learning-and-Computer-Vision-Projects Deep-Learning-and-Computer-Vision-Projects Public

  5. Computer-Vision-Projects Computer-Vision-Projects Public

    Jupyter Notebook

  6. PySpark-Projects PySpark-Projects Public