Skip to content
View HrithikRai's full-sized avatar
😃
😃
4 followers · 1 following

Achievements

Achievement: Pull Shark
BetaSend feedback

Achievements

Achievement: Pull Shark
BetaSend feedback
Block or Report

Block or report HrithikRai

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
HrithikRai/README.md

👋 Hi, I’m @HrithikRai

I am a Full stack Data scientist with over 4 years of immersive industrial experience. From taking an idea from the proof of concept until production, with holistic collaboration followed by utmost dedication and unwavering commitment to deliver the best product possible under the given resources and time, I find joy in delivering satisfaction..

Wanna know more or want to collaborate? - Visit my portfolio.

Pinned

  1. AMDB--Awesome-Movie-Database-and-Recommender-System AMDB--Awesome-Movie-Database-and-Recommender-System Public

    A movie database and content based movie recommender system using cosine similarity

    Jupyter Notebook

  2. Autoencoder-as-an-end-to-end-communication-system Autoencoder-as-an-end-to-end-communication-system Public

    In this project, we train an autoencoder for information transmission over an end-to-end communication system, where the encoder will replace the transmitter tasks such as modulation and coding alo…

    Jupyter Notebook 3

  3. Parallelization-of-Energy-Calculation-for-a-box-of-water-molecules Parallelization-of-Energy-Calculation-for-a-box-of-water-molecules Public

    In this project I have parallelized the massive energy calculation using technologies like MPI and OpenMP. Detailed description in the pdf file.

    C

  4. Bike-Sharing-Demand-Prediction Bike-Sharing-Demand-Prediction Public

    Bike Sharing Demand Prediction using Multiple Linear Regression

    Python 1

  5. RecommenderSystemUsingPyspark RecommenderSystemUsingPyspark Public

    Built a collaborative based movie recommender system using PySpark inbuilt machine learning support. Dataset used = Movielens 25 million dataset. RMSE score achieved = 0.83

    Python

  6. Customer-address-geocoding-using-Folium Customer-address-geocoding-using-Folium Public

    Sales of a product esp. when it depends on the geographic location of the customers can be planned using this simple yet effective python library called folium.

    Python 1