Skip to content
View sakshamarora97's full-sized avatar
Block or Report

Block or report sakshamarora97

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
sakshamarora97/README.md

Hi there!

👋 - Greetings! I'm Saksham, a Data Scientist with a skill set that spans from product analytics and statistical modeling to proficiency in machine learning, deep learning using Python.

🔭 - In my journey I've traversed diverse industries, including e-commerce, retail, consulting - consumer survey insights, and B2B SaaS. This breadth of experience has shaped my ability to navigate complex challenges and deliver impactful insights.

🌱 - Currently, I'm driven by a curiosity to explore the realms of Natural Language Processing (NLP) and Graph Machine Learning. These burgeoning interests align with my passion for pushing the boundaries of data science to uncover new possibilities and solutions.

🏆 - Among my notable achievements is the Pint Award at AbInBev, a recognition that underscores my commitment to excellence and innovative contributions within the field. As a data scientist, I am constantly evolving and adapting to the ever-changing landscape of data analytics.

📫 - If you share a passion for leveraging data to drive innovation and solve complex problems, I'd love to connect. Feel free to reach out on LinkedIn or via email, and let's embark on a data-driven journey together!

⚡ - Fun facts: I enjoy cooking🍳, hitting the gym🏋️, and am a piano player🎹! Also love listening to podcasts discussing the journey of entrepreneurs🚀🚀

Pinned

  1. basketball-analytics-project basketball-analytics-project Public

    End-to-end ML: Using ML to generate expected PPS, opportunity grade classification, and prescription analysis for basketball coaches.

    Jupyter Notebook

  2. instruction-tuned-clinical-notes-scoring instruction-tuned-clinical-notes-scoring Public

    Instruction Tuned Scoring using Clinical Notes | Course Project for CS 7641

    Jupyter Notebook 1

  3. outfit-compatibility-scoring outfit-compatibility-scoring Public

    Fashion Recommendation: Outfit Compatibility using GNN | Course Project for CSE 6240 Web Search and Text Mining

    Jupyter Notebook 2

  4. music-recommendation-system music-recommendation-system Public

    Course Project for CS 6242: Built a Tableau UI for song recommendation based on collaborative filtering with Python Backend and TabPy interface; used listening session histories of 1K users and 100…

    Python 1

  5. network-monitoring-optimization network-monitoring-optimization Public

    Course Project for ISYE 6333 Operations Research 1

    Jupyter Notebook