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π Iβm currently working: @Phenom People
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π₯½ Experience:
- Data Analyst @Phenom People
- Analyst @Cartesian Consulting
- Data Scientist @Growth Loops Technologies
- Machine Learning Intern @Ignitus
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π± Currently learning: LLM and Generative AI
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π― Iβm looking to collaborate on: Data Analytics & Machine Learning Projects
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π οΈ 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.
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π¨βπ» Checkout my BI Portfolio: https://linktr.ee/shahrukh2016
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π¬ Ask me about: SQL, Python, Machine Learning, LLMs
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π Model Deployment (Netflix Recommender System): Web App
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β Explore my Live Visualization Dashboards: Click here
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π« How to reach me: shahrukhspn2016@gmail.com | https://www.linkedin.com/in/shahrukhahmad26/
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Phenom People | ABES Engineering College
- Hyderabad, Telangana
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07:07
(UTC +05:30) - https://www.linkedin.com/in/shahrukhahmad26
- https://linktr.ee/shahrukh2016
- https://github.com/Shahrukh2016
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Netflix_Movies_and_TV_Shows_Clustering
Netflix_Movies_and_TV_Shows_Clustering PublicUnlock 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-basβ¦
Jupyter Notebook 2
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Cardiovascular_Risk_Prediction
Cardiovascular_Risk_Prediction PublicPredict 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 β¦
Jupyter Notebook 3
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Retail_Sales_Prediction
Retail_Sales_Prediction PublicRevolutionize 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 advβ¦
Jupyter Notebook 4
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Play-store-review-analysis-EDA
Play-store-review-analysis-EDA PublicExploring 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
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