Gurupratap Matharu

Gurupratap Matharu

Machine Learning Engineer

About me

Gurupratap has a keen interest in Data Science, Machine Learning and Artificial intelligence and comes with over 9 years of professional experience. He dominates the python programming language and has a great understanding of using data to solve business problems.

Being well versed in mathematics and holding a postgraduate degree, he currently aims to put all his learnings and experience on solving real world problems for a great company.

His work experience includes developing recommender systems, building forecasting models, working with big data, orchestrating AI pipelines with airflow, containerising apps using docker, training chatbots and teaching data science

In the past he built applications for universities, recommender systems for startups, forecasting models, integrating CI/CD in existing applications and spam email classifiers using Naive Bayes theorem.

Experience

July 1, 2006 - August 1, 2008

Back End Developer @ Infosys Technologies

Maintained and improved Production support for a world class bank American Express (AMEX) while handling a team of 6 people. Provided production support from offshore Wrote bash scripts to automate tasks 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.

Technologies

January 3, 2018 - May 3, 2019

Back End Developer @ Q10 Marketing

Dashbo - A full stack application that helps marketing agencies to better manage the ad spending for their clients. Backend in Django + Postgres Frontend in ReactJS Cloud: AWS CI/CD with Gitlab Containerisations with Docker Task and queue processing with Celery and RabbitMQ Django, React.js, Postgres, Celery, AWS, CI/CD, Agile, Jira, Gitlab.

Technologies

February 1, 2016 - February 1, 2018

Back End Developer @ Self Employed

Edu Analytics - A full stack application that allows teachers to manage their students, make schedules, allot marks and send emails. Backend in Django + Postgres Frontend in ReactJS Cloud: AWS CI/CD with Gitlab Containerisations with Docker Task and queue processing with Celery and RabbitMQ Django, React.js, Postgres, Celery, AWS, CI/CD, Agile, Jira, Gitlab.

Technologies

June 15, 2019 - January 22, 2020

Data Scientist @ Overactive Inc

Forecasting / Regression: Prototype, built and deployed XGBoost regression to predict the estimated time of arrival of a shipment for a logistics company. Airflow: Orchestration of AI pipelines using apache airflow on google cloud composer to preprocess, train and evaluate ML models. Classification: Designed and working upon an image classification model to automate the process of evaluation of shipments and avoiding human interference. Tools used: Google Cloud, Apache airflow, Google Data Studio, Google Bigquery, Docker, Google App Engine, Netezza, Scikit-learn, Tensorflow, Keras, Jira, Confluence, Github

Technologies

April 15, 2019 - January 22, 2020

Data Scientist @ Acamica

Teaching Data Science and machine learning to a full time batch of 35 students at Acamica institute of BsAs where students develop ML projects like 1. Image classifiers 2. Recommender system using Matrix Factorization and collaborative filtering 3. Natural Language processing 4. Using Watson API 5. Deploying trained models to the cloud

Technologies

April 15, 2019 - January 22, 2020

Data Scientist @ Celerative Inc

Recommender System: Prototyped, built and deployed a recommender system, using matrix factorization techniques, item based collaborative filtering and A/B testing, for a US client which helps their mobile users receive real time recommendations based on their past behaviour. Developed models using LightFM, implicit feedback, user-user collaborative filtering, Singular Value Decomposition Orchestration with apache airflow to automate the whole ai pipeline google cloud and big query for data analysis docker for containerisation of the model Tools used: Google Cloud, App Engine, Apache Airflow, google pub/sub, Asana, bitbucket, Google Bigquery, Cloud sql, Docker, RestAPI, Amplitude, Pandas, Numpy, Scikit-learn, Surprise, lightfm, Linux

Technologies

Education

2008 June - 2010 June

Masters in Business Administration

Welingkar Institute of Management
2002 May - 2006 May

Bachelor of Engineering

Vishwakarma Institute of Technology

Bachelors in Astronomy and Geophysics

University of La Plata, Argentina