"All data has its beauty, but not everyone sees it."
-Damian Mingle

About Me

My name is Samarth. I am a data professional with four years of work experience and a Master's in Data Science (MSDS) from the University of San Francisco. I've interned as a data scientist at Walmart Labs from Jan-2020 to Jun-2020. There, I deployed deep learning-based solutions (Pytorch, Keras) to solve computer vision problems. Before working at Walmart, I have worked as a Data/Product analyst for customer-facing IT products in e-commerce, online travel and healthcare industries for over 3 years.

I graduated from BITS Pilani in 2015 and since then I have worked in a variety of industries and business domains.

Company Industry Role Duration
Walmart Labs E-Commerce Data Scientist Intern, Product Graph Jan 2020 - Jun 2020
MakeMyTrip Online Travel Senior Product Analyst, Payments Oct 2016 - Jan 2018
MySmartPrice E-Commerce Data Analyst, Online Marketing Jul 2015 - Sep 2016
Practo Healthcare Business Analyst, Operation Jan 2015 - Jun 2015

Machine Learning - Real World Issues

Identifying Fake News

An NLP based model to classify news articles as fake or real.

(Pytorch, NLTK, AWS)

Energy Consumption Prediction

A regression model to predict energy usage in metered buildings.
(Scikit-learn Pipelines, Randomized Hyperparameter Search)

Flight Delay Prediction

Predicted delays for domestic flights in the US.

(PySpark, AWS EMR, Regression )

Python Implementation - ML Algorithms

Random Forest

A recursive approach to building random forests from scratch.

Regression

Linear, Ridge and Logistic Regression using AdaGrad optimization algorithm.

Naive Bayes Classifier

A multinomial classifier to predict sentiment of movie reviews.

Decision Trees

A recursive approach to building binary decision trees.

K-means Clustering

K-means clustering with kmeans++ centroid initialization algorithm.

Recommender System

NLP based recommender system for reuter news articles

When I'm Not Writing Code

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