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rahulmenon97/README.md

💫 About Me:

With about 4+ years of work experience as a seasoned Data Scientist, I have navigated the landscapes of various industry domains, including CPG, marketing analytics, and management consulting where I have skillfully wielded a vast array of tools and technologies, such as Python, SQL, Machine Learning, and Natural Language Processing. Focusing on data-intensive applications, my accomplishments, and substantial contributions led to greater exposure, where I managed a team, ensuring timely deliverables, mentoring the new inductees, and working with individuals across the world on multifaceted problems that required holistic solutions, enhancing my interpersonal skills that facilitated client relationships.

As a graduate student at the University of Chicago, I am actively pursuing my Masters in Applied Data Science with an unwavering drive to unravel the intricacies of data science and artificial intelligence. With a strong foundation in machine learning and analytics, I bring a fresh and unique perspective to the field of data science. I am continually searching for innovative ways to apply my skills, from competing in hackathons to exploring the frontiers of automation and data science. My inquisitive nature and passion for AI have further heightened my fascination and dedication to mastering advanced technologies such as deep learning and big data and applying them to real-world challenges.

Feel free to message me and talk about anything. If I can be of any help, it would be my pleasure!

🌐 Socials:

Instagram LinkedIn Twitter

💻 Tech Stack:

Python Azure Heroku Flask MySQL NumPy Pandas Plotly scikit-learn SciPy R Anaconda SQLite

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  1. Assessing-the-Macro-Economic-Impact-of-Generative-AI-Using-NLP Assessing-the-Macro-Economic-Impact-of-Generative-AI-Using-NLP Public

    Obtained insights and meaning recommendation about the impact of AI based technologu using News Articles from 2019 to 2023. Techniques such as BERT, LDA, Sentiment Analysis and NER were incoporated.

    Jupyter Notebook

  2. Hybrid-Recommendation-System-and-Reviews-Summarization-for-Goodreads Hybrid-Recommendation-System-and-Reviews-Summarization-for-Goodreads Public

    Developed Book Recommendation System using Hybrid Recommendors which includes Collaborative filtering, Content filtering, Popularity based filtering in Google Cloud Platform (PySpark) on GoodRead Data

    Jupyter Notebook

  3. HR-Attrition-Prediction-Deployed-Using-Heroku HR-Attrition-Prediction-Deployed-Using-Heroku Public

    Predicting Attrition of Employees using XGBoost Classification Algorithm

    Jupyter Notebook 1

  4. Other-Machine-Learning-Projects-7-Projects Other-Machine-Learning-Projects-7-Projects Public

    The folder contains 7 different Machine Learning projects focusing on Supervised (Regression & Classification), Unsupervised techniques (Clustering) and Natural Language Proecessing (Sentiment Anal…

    Jupyter Notebook 1

  5. Brooklyn-Housing-Prices-Prediction Brooklyn-Housing-Prices-Prediction Public

    Predicted the house prices in brooklyn using Linear Regression

    R