A Data engineer passionate about Data Science 📊. I like automating, building scalable pipelines, improving and optimizing systems. I am a Strong Advocate for 📜 open source, ☁️ Cloud computing, 🚀 DevOps, 🆕 Innovation and Automation 🤖

• ⚡Fun fact: Istrongly believe in theChaos theory: Even in unpredictable environments with seemingly random oddities and irregularities lies a predictable & sensible pattern not seen initially.
• 💡 I'm interested in all things data:Big Data, Cloud, Machine Learning and Data Science
• 💬 Talk to me about Formula 1 🏎️, Memes, Anime, Movies 🎥, Genshin Impact 🎮, Amateur Photography 📸

A problem can be solved in a 100 different ways and There's always an easier way to solve a problem.
You miss 100% of the shots you don't take.

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1. Ecommerce-Data-MLOpsEcommerce-Data-MLOpsPublic

   End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOps Tools

   Python 15 8

2. Streamlit-YouTube-DashboardStreamlit-YouTube-DashboardPublic

   Generating an analytics dashboard based on YouTube videos

   Jupyter Notebook 9 8

3. A-Tale-of-Two-CitiesA-Tale-of-Two-CitiesPublic

   Clustering Neighborhoods of Paris and London using Machine learning. IBM Data Science Capstone

   Jupyter Notebook 7 13

4. Movies-Analytics-in-Spark-and-ScalaMovies-Analytics-in-Spark-and-ScalaPublic

   Data cleaning, pre-processing, and Analytics on a million movies using Spark and Scala.

   Scala 94 53

5. HackerRank-SQL-Challenges-SolutionsHackerRank-SQL-Challenges-SolutionsPublic

   The solutions of all SQL hackerrank challenges using MySQL environment

   SQL 746 217

6. Prediciting-Hits-on-SpotifyPrediciting-Hits-on-SpotifyPublic

   Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning

   Jupyter Notebook 9