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Shahrukh2016/README.md

Hi 👋, I'm Shahrukh Ahmad

Data Analyst at Phenom People

Coding

shahrukh2016

  • 🔭 I’m currently working: @Phenom People

  • 🥽 Experience:

    • Data Analyst @Phenom People
    • Analyst @Cartesian Consulting
    • Data Scientist @Growth Loops Technologies
    • Machine Learning Intern @Ignitus

  • 🌱 Currently learning: LLM and Generative AI

  • 👯 I’m looking to collaborate on: Data Analytics & Machine Learning Projects

  • 🛠️ Tech Stack: SQL, Python, Excel, Power BI, Machine Learning, Deep Learning, NLP, LLM, Generative AI, Snowflake, MongoDB, AWS S3, Amazon SageMaker, Streamlit, Hugging Face, Langchain.

  • 👨‍💻 Checkout my BI Portfolio: https://linktr.ee/shahrukh2016

  • 💬 Ask me about: SQL, Python, Machine Learning, LLMs

  • 🚀 Model Deployment (Netflix Recommender System): Web App

  • ⭐ Explore my Live Visualization Dashboards: Click here

  • 📫 How to reach me: [email protected] | https://www.linkedin.com/in/shahrukhahmad26/

Connect with me:

shahrukhahmad26 mr.guitarist26 shahrukh2016 @shahrukhspn2016 shahrukh26

Languages and Tools:

mysql opencv pandas postgresql python scikit_learn seaborn sqlite tensorflow

shahrukh2016

shahrukh2016

 shahrukh2016

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  1. Netflix_Movies_and_TV_Shows_Clustering Netflix_Movies_and_TV_Shows_Clustering Public

    Unlock personalized content recommendations on Netflix with my cutting-edge ML project. Say goodbye to aimless scrolling and elevate your binge-watching experience with our user-centric content-bas…

    Jupyter Notebook 2

  2. Cardiovascular_Risk_Prediction Cardiovascular_Risk_Prediction Public

    Predict CHD Risk with Precision: This machine learning model analyzes patient demographics, behaviors, and medical factors to accurately predict the likelihood of developing coronary heart disease …

    Jupyter Notebook 3

  3. Retail_Sales_Prediction Retail_Sales_Prediction Public

    Revolutionize sales forecasting for Rossmann stores with our high-accuracy XGBoost model, leveraging data analysis, feature engineering, and machine learning to predict sales up to six weeks in adv…

    Jupyter Notebook 4

  4. Play-store-review-analysis-EDA Play-store-review-analysis-EDA Public

    Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

    Jupyter Notebook 4