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Harsh Navin Gupta - guptaharshnavin

I am currently a Masters In Computer Science (Data Science) student at University of Southern California's Viterbi School of Engineering. I was previously a Data Science Statistics Intern working at Tutree Inc, and also have previously worked as a Data Science Intern at Orci Care Inc. I have completed my Bachelors in Technology (BTech) in Computer Engineering from K.J. Somaiya College of Engineering (University of Mumbai). I am proficient in programming languages such as Java, Python and R, and I am also an Oracle Certified Associate Java Programmer. I have 6+ months work experience, and have completed numerous certifications (such as Udacity's Data Analytics Nanodegree) and implemented several projects to learn and explore the various aspects about Data Science and Machine Learning..

Programming Languages Known

Databases Used

Frameworks Used

Spacy NLTK Plotly

Certifications Completed

1️⃣ Deep Learning Specialisation - deeplearning.ai
2️⃣ Data Science Professional Certificate - HarvardX
3️⃣ Data Analytics Nanodegree - Udacity
4️⃣ Machine Learning with Python - IBM
5️⃣ SQL for Data Science - UC Davis
6️⃣ R Programming Certification - Internshala
7️⃣ Go Programming Certification - Programming Hub

Harsh Navin Gupta's Projects

loan-approval-prediction icon loan-approval-prediction

Developed ML Model to predict whether a loan will be approved or not, based on various parameter, such as Marital Status, Income, etc.

movielens_recommendation_system icon movielens_recommendation_system

For this project, we make use of the Movielens 10M Dataset. The Movielens datasets were collected by the GroupLens Research Project at the University of Minnesota. In this project, we make a Recommendation System, which recommends movies to watch to the users, based on the various features that are present in the dataset, which are the features that are present in the ratings given by other users.

onlinehotelbookingsystem icon onlinehotelbookingsystem

Online Hotel Booking Management System. This repository contains all the files used to implement a web-based interface, connected to a backend database, to implement the desired system. The Web Interface is designed using HTML5,CSS3 & PHP5. The database used in the backend is MariaDB.

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