May 2019 - August 2021
Data Scientist | ZoomRx Inc.
Clients: USA - Pfizer, Genentech, Bristol Myers Squib
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Performed quantitative analysis (impression, reach, user demographics) and qualitative analysis (sentiment analysis, biological named entity recognition) by streaming real-time tweets using the Twitter API to capture twitter buzz in the Oncology space for the largest pharmaceutical company in the world, increasing the team’s revenue by $50,000 per conference
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Developed and tuned a Random Forest model using python (scikit learn, GridSearchCV) to predict the persistence of drug usage among patients (classification) with an F1 score of 83% and later monitored the model’s performance. This helped the clients to realign their marketing strategies and save $100k per marketing campaign
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Streamlined and automated ETL pipelines by scraping data from 6 websites, parsing the JSON and XML data, and storing it in Google Cloud’s SQL database. These pipelines saved 20+ hours of manual work per month and improved the quality of the search results of our core search engine (worth $2M).
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Initiated and owned the designing and implementation of a multipage python Dash (dashboard) data app to automatically update records in SQL server based on user inputs and deployed the app using Google Cloud’s Compute Engine. The app was used by 10+ users daily saving 8+ hours of manual work per week.
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Built highly interactive Tableau dashboards with segment drill-down capabilities to monitor KPI metrics and used the dashboards to provide strategic recommendations to clients and senior-level management
● Facilitated hiring and onboarding interns by designing courses and projects.
Awards: ZoomRx Extraordinary Award, 2020
Education
2021-2022
Master of Engineering in Electrical and Computer Engineering
Queen's University
My master's degree was mainly focused on machine learning and it's application. I had the opportunity to collaborate and work with people with various countries and backgrounds.
CGPA: 4.25/4.3
Courses: Machine Learning/Deep Learning, Deep Learning in Computer Vision, Software Requirements, Software Reengineering, AI for Cybersecurity, Engineering Leadership
Summer Project:
2015-2019
Bachelor of Engineering in Electronics and Communication Engineering
College of Engineering, Guindy, Anna University
My undergraduate degree was mainly focused on electronics and communication and I enrolled in several programming courses and completed projects.
Relevant Courses: Data Structures and Object Oriented Programming in C++, Database Systems, Operating Systems, Computer Architecture and Organization
Skills
Languages & Libraries
Python
SQL
Pytorch
Pytorch
Pandas
Numpy
NLTK
Tensorflow
Keras
Tools
Github
JIRA
Tableau
AWS
PowerBI
Microsoft Office Suite
Methodologies
Natural Language Processing
Database Design and Management
Data Visualization
Predictive Modelling
A/B Test
MLOps
Extracurricular Activities
Student Director - CEG Tech Forum
2018-2019
• Formed strategic alliances with leading media houses, which generated 30% of the total sponsorship funds for Kurukshetra (2019), South India's largest tech fest. Managed 300+ student coordinators during the course of the event.
• Organized "She Sharp”, a seminar series aimed at inspiring girls from low-income backgrounds to study STEM subjects. The seminar was attended by 200 students across five schools.