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About Me

Through my education and hands-on experience in different organizations, I have learned that business isn’t just about and money changing hands or offering services and products – it’s about engaging with people, creating meaningful relationships, and establishing the product’s need. I have always been amazed with what we can accomplish using the combination of data and algorithms. Throughout my career, I have had the opportunity to create product solutions and solve business problems. Currently I am pursuing Master's in Data Science (MSDS) from the University of San Francisco (graduating August 2021). In addition to that I have over 6 years of experience implementing and scaling machine learning solutions in various industries. I care deeply for the environment and hope to give back to the society as much as I can with the skills I have. In my free time I love cooking, reading, and travelling.

Scroll down to check out some of my projects!



Machine Learning Projects

Recommender System using Matrix Fact.


Creating Matrix Factorization Recommendation system from scratch with User reviews
(Pytorch)

Text classification using NER


Text classification using Named Entity Recognition
(Pytorch)

Image Classification using Resnet-50


Classifying Garbage images into sub-types
(CNN,Resnet50)

California Zillow Price Prediction

A series of Time-series models to predict price in California.

(Pytorch, Prophet,LSTM,SARIMAX)

Game of Thrones Network Analysis

Analyze co-occurence of GoT characters using Graph Theory

(NetworkX,PyVis)

Stack Overflow Tag Prediction

An NLP project to predict Stack Overflow tags based on title and body of questions.

(PySpark, Sparkling H2O, AWS EMR, GBM,Naive Bayes )

Trip Duration Prediction for baywheels

An NLP project to predict Stack Overflow tags based on title and body of questions.

(PySpark, AWS EMR, Naive Bayes )

Hotel Booking Cancellation Prediction

Predicting the propensity of a hotel booking getting cancelled.

(Scikit-learn Pipelines, Randomized Hyperparameter Search)

NLP Based Recommender System

Hosted a website using Flask framework on AWS and created NLP based recommendation system for reuter news articles

(Flask,AWS,Jinja)

LDA Analysis with Jeopardy! questions

Topic analysis of 30 years of Jeopardy questions

(Gensim, NLTK)

Handmaid's Tale Book Analysis

Connecting the dots with most frequent bigrams, and chapter-wise sentiment analysis of the famous book HandMaid's Tale

Voice programming with Twilio

Using TwiML and AWS to replace key fob in my apartment.

(Twilio, AWS)

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