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tahirkorma/README.md

👋 Hi there, I'm Tahir Korma!

Welcome to my GitHub profile! I'm a data science enthusiast passionate about turning data into meaningful insights. I enjoy solving real-world problems using statistics, machine learning, and clean code.

🧠 What I Know

  • Languages: Python, SQL, R
  • ML & DS Tools: Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, NLTK, Statsmodels
  • ML Techniques: Regression, Classification, Clustering, Causal Inference, NLP
  • Web & Deployment: Streamlit, Flask, Pickle, Git/GitHub
  • Other Tools: Jupyter, VS Code, Google Colab, Excel, Tableau

🛠️ Projects I'm Proud Of

🔍 Skilled Manager Intervention Analysis

Causal inference using OLS regression to estimate impact of skilled management interventions.

📩 Spam Detector

Email spam classifier using Multinomial Naive Bayes, deployed with Streamlit.

🎬 Movie Recommender

Content-based movie recommendation engine using NLTK lemmatization and cosine similarity.

🌍 Atmospheric Gas Clustering

Unsupervised learning on Mauna Loa gas data using PCA and K-Means clustering.

📈 What I'm Learning Now

  • Deep Learning with PyTorch
  • Time Series Forecasting
  • Docker for ML model deployment

Thanks for stopping by! 🚀

Pinned Loading

  1. langchain-models langchain-models Public

    A modular LangChain-based repository integrating Chat Models, traditional LLMs, and Embedding Models from OpenAI, Anthropic, Google, Hugging Face, and Local Inference. Built with the latest LangCha…

    Python

  2. movies_recommender movies_recommender Public

    Content-based movie recommender with NLTK and cosine similarity via Streamlit

    Jupyter Notebook

  3. skilled-manager-intervention-analysis skilled-manager-intervention-analysis Public

    Causal Inference project analyzing the impact of skilled manager interventions using OLS regression

    R

  4. spam-detector spam-detector Public

    Spam detection using Multinomial Naive Bayes, deployed via Streamlit with pickle model

    Jupyter Notebook