Gurupratap Matharu

Gurupratap Matharu

Machine Learning Engineer

About me

At heart, I am shy and introvert but very warm once I feel comfortable after the ice breaking moment with anyone.

After several years in an IT and then Sales-Marketing career, a serendipitous event in my life inspired me to travel and explore Latin America. After learning Spanish I dedicated myself to deeply learn computer science. I just absorbed everything that came my way.

I made websites for friends and family, and involved myself in coding challenges. I continously like to challenge myself and machine learning, deep learning and data science are of dear interest to me.

When I'm not working, I love to break the stress dancing the tango or exercising. Around 15 hours a week, I dedicate myself to learning Astronomy and Physics as I am deeply intrigued by these subjects.

I am very open to meeting new people and learning new things so please feel free to say "hello" or share a story!

Python, Django, Flask, Bootstrap, HTML/CSS
Base de Datos - SQL, MongoDB
Machine Learning
Data Visualization - Bokeh, Matplotlib, Pandas, Numpy
Web Scraping - Beautiful Soup, Lxml,
Version Control - Git
Unit Testing / TDD

Feel free to email me at
See my Github repositories at


May 3, 2019 - May 3, 2019

Back End - Front End @

Dashbo - A full stack application that helps marketing agencies to better manage the ad spending for their clients. Django, React.js, Postgres, Celery, AWS, CI/CD, Agile, Jira, Gitlab. Edu Analytics - A full stack application that allows teachers to manage their students, make schedules, allot marks and send emails. Django, Bootstrap, Postgres, Github, Trello RestAPI - REST api using nested serializers using django rest framework used by sports betting platform to handle requests from vendors.


May 3, 2019 - June 1, 2019

Product Management @

Expanded and developed market for Prasad Film Labs post production studio by 33% while handling a team of 4 people. Applied marketing tools like CRM, Email managemente, Client servicing and Customer feedbacks to improve the client rentention and recieve more repeat business. During my stint our team processed more than 100 films across all categories.


February 1, 2016 - June 1, 2019

Data Science @

1. Recommender System - A machine learning model that helps user receive recommendations for movies based on the moves that he/she has liked. Python, jupyter notebooks, Anaconda, Scikit learn, Numpy 2. Image Classification - A machine learning model that classifies handwritten digits from 0-9 3. Housing Price Prediction - A machine learning regression model trained using random forest technique and helps in predicting prices for new properties based on certain features of a housing dataset.


July 1, 2006 - August 1, 2008

Back End - Front End @

Maintained and improved Production support for a world class bank American Express (AMEX) while handling a team of 6 people. The support was conducted using an SMS ticketing system the three categories of severities The turn around time was Severity 1: 10 mins Severity 2: 4 Hours Severity 3: 24 Hours Developed and ran maintenance scripts on our servers since the system up time was 99.99% without compromise.



2008 June - 2010 June

Masters in Business Administration

Welingkar Institute of Management
2002 May - 2006 May

Bachelor of Engineering

Vishwakarma Institute of Technology
2008 June - 2010 June

Lic in Astronomy and Geophysics

FCAGLP - La Plata

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