Data Engineering

Pradeep Balasubramani

Dallas, TX +1-214-***-**** *******.*****@*****.*** pradeepb2505 pradeep-balasubramani EDUCATION

Master of Science in Computer Science (Data Science) May 2021 The University of Texas at Dallas, Dallas, TX GPA – 3.76/4.0 Bachelor of Engineering in Computer Science & Engineering May 2018 NMAM Institute of Technology, Nitte, India GPA – 8.81/10.0 TECHNICAL SKILLS

Java, C, C++, Python, R, JavaScript, C# MongoDB, SQL, PostgreSQL, Hive Tensorflow, PyTorch Elastic Search, Splunk, Kafka, Spark, Hadoop, Flink Spring, Django, NodeJS React, Angular, Redux Jest, Karate, Groovy Git, Bitbucket, Jenkins, Docker, Kubernetes, AWS, Amazon Aurora Machine Learning, Deep Learning, Algorithms EXPERIENCE

Intuit, Dallas, USA May 2020 – November 2020

Software Engineer Intern

• Built recommendation system to recommend multiple Intuit Integrations for the user that are used by 46 million customers worldwide. Worked on building an automated pipeline for data collection, model training and deployment.

• Created an Intelligent Search Platform using Elastic Search and BERT; useful for navigation and content-based search

• Fullstack development of a comprehensive workflow application using Java, Spring, AWS, React, Jenkins and Git.

• Unit testing - Front-end application using Jest, Mocha and Karma; Back-end application using Groovy and Karate.

• Awards - Intuit Accessibility Champion, Inner Source Contributor, Intuit Design System Contributor The University of Texas at Dallas, Dallas, USA January 2020 – May 2020 Computer Science Outreach Instructor

• Taught data science, machine learning and deep learning using PyTorch and Tensorflow to freshmen students. Accenture (Innovation Team), Bangalore, India May 2018 – June 2019 Application Development Associate

• Performed data mining of system generated data by scrapping and pre-processing using Python. Successfully created dashboard to visualize the transformed data using Splunk, Kibana and Elastic Search for smooth end-to-end monitoring that resulted in reduction of ticket resolution time by 70%. Automated and optimized manual tasks that resulted in the reduction of team effort by 80% and resource saving by 30% Indian Institute of Technology – Bombay (FOSSEE Team), Mumbai, India May 2017 – Aug 2017 Research Intern

• Designed architecture and implemented hardware-software interface of ‘Generic IoT Platform’ to collect, store and visualize real-time data from IoT gadgets used by domestic users & data scientist using Node.js, Python and HTML PUBLICATION

• “MultiCon: A Semi-Supervised Approach for Predicting Drug Function from Chemical Structure Analysis” Journal of Chemical Information and Modeling DOI: 10.1021/acs.jcim.0c00801

• “Analysis of Customer Churn prediction in Logistic Industry using Machine Learning” IJSRP 7(11) (ISSN: 2250- 3153). http://www.ijsrp.org/research-paper-1117.php?rp=P716953

• “Generic IoT platform for Analytics in Agriculture” in the Springer Nature book “Studies in Big Data, Internet of Things and Analytics for Agriculture, Volume 2” 978-***-**-****-8, 487204_1_En, (Chapter 11) PROJECTS

● Unified Airline Recommendation System: built using REST API, ReactJS, Flask, MongoDB, NLP (Google Cloud and Dialogflow) and Amadeus API; Airline Data visualization performed using Tableau

● Diversified Home Automation System using Voice Control and AR: Developed an architecture and built a hybrid Android/IOS app with voice control & AR features using Unity for detecting & controlling electrical appliances using IoT

● Sentimental Analysis of Live Twitter Data: Sentiment analysis using TextBlob and Bing sentiments for live streamed tweets through Apache Kafka, stored in Elasticsearch and visualized through Kibana.

● Text Classification: Deep Learning model to categorize customer support queries in the context of a public service provider in India using Keras and TensorFlow; achieved accuracy of 82%

● Open source Platform for Swarm Robotics: Multi-robot collaboration using Image Processing, AI and IoT HONORS / AWARDS

● Hackathon Wins: MLH: Best Use of MongoDB Atlas, HackUTD Pandas Hack by Walmart Technology Smart India Hackathon – 2018, Government of India Wonder Coders (Mentor) by WalmartLabs, India IBNC, India

● Best Outgoing Student - Awarded for students with distinguished achievement in the Department of Computer Science

& Engineering and the recipient of Sanjeeth Shetty Leaders Fellowship Award

● SAKURA Student Exchange Program - (One among the top 10 students selected) at Ritsumeikan University, Japan on ‘Emerging Technologies and Advances in Artificial Intelligence’ both in India and Japan

● JPMorgan Software Engineering Virtual Program - visualization and analysis of share price data for stock traders LEADERSHIP

● Project Manager of Google Developer Student Club at UTD; President of ACM Student Chapter, IoT Club at NMAMIT

● Founder & CEO – AquaCare and Smart Shoppers – Govt. of Karnataka seed funded start-up projects

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