Sujay Koujalgi

I'm

About

Welcome to my portfolio site! I'm a passionate Data Scientist focused on artificial intelligence (AI), creating innovative AI-driven products, and developing robust backend and distributed systems. My professional journey revolves around harnessing the power of data to unlock new potentials and streamline processes, aiming always to push the boundaries of technology to craft solutions that matter. On a personal level, my interests lie in exploring the world through travel and road trips, indulging in my love for cars and the high-speed thrill of Formula 1. Music and chess also play a significant role in my life, providing a rhythm to my adventures and a strategic challenge to keep my mind sharp. These hobbies not only offer me a creative outlet and relaxation but also inspire my professional work by teaching me new perspectives and problem-solving approaches.

Skills

Sujay's Github chart
Python 100%
SQL 90%
JavaScript 75%
Java 80%
ML 90%
Cloud and Distributed 55%

Resume

You can download a pdf version of my resume here.

Education

Master Science & Informatics

2021 - 2023

The Pennsylvania State University, University Park, PA

Bachelor of Engineering & Computer Science and Engineering

2014 - 2018

M.S. Ramaiah Institute of Technology, Bengaluru, KA

Professional Experience

Research Assistant

Aug 2021 - Present

State College, PA

  • I led research on reinforcement learning and Search Algorithms in wargames, emphasizing innovative encoding methods and securing a 1.2M grant from the Department of Defence (DOD).
  • Additionally, I contributed to privacy-oriented research in computer vision and NLP, resulting in a paper accepted by the Association for the Advancement of Artificial Intelligence (AAAI).
  • Worked on a paper on novel methods for analyzing human prediction (of AI decision) task data in a higher granularity of output space.Lead in the design, development, and implementation of the graphic, layout, and production communication materials

Data Scientist

Oct 2019 - July 2021

Merkle, Bengaluru, KA

  • Utilized both PaaS and InPrem architecture for building and deploying ML models.
  • Worked on the development of search and recommendation systems, optimizing HomeDepot.com's in-site search bar.
  • Led an A/B testing team and spearheaded projects to enhance the overall web experience.
  • Designed and implemented recommendations for web experience management.
  • Developed a tool utilizing boosting algorithms and time series analysis to evaluate the impact of revenue drivers on critical business KPIs.

Software Engineer

Aug 2018 - Aug 2019

Wells Fargo EGS, Bengaluru, KA

  • Collaborated within the brokerage team to develop ETL (Extract, Transform, Load) transforms tailored for financial advisors, specializing in retirement planning.
  • Employed Python and shell scripts to facilitate seamless migration of B2B web API integrations, enabling efficient large file transfers from third-party servers.

Machine Learning Intern

June 2017 - Aug 2017

Oracle FSS, Bengaluru, KA

  • Developed Customer segmentation model for credit card users.

Portfolio

My portfolio showcases a range of projects including web app development, machine learning models, and my technical blog posts, highlighting my hands-on experience in software and data science.

  • All
  • App
  • Blog
  • Publications
Github

Purchase Rewards

Built functionalities for an application that collects purchase receipts and generates rewards. Generated data validation logic and identified critical bugs in the requirements enabling 60% more accurate data retrieval. Designed a persistent knowledge database with custom APIs to perform CRUD operations enabling 30% faster data retrieval.

Github

Mental health Indicator

Sentiment analysis to generate users' mental health trend visualizations for an NGO. Utilized Reddit’s developer APIs with python scripts to scrape data based on keywords and time frames entered by the user. Created APIs within Django to retrieve scraped data, NLP models and developed user-level trend visualization in d3.js.

Github

Influencer Stats

Automated playlist statistics monitoring for Influencers, reducing manual tracking time by 10%. Developed a robust system with PySpark, Youtube's APIs, and Kafka, achieving a 60% boost in overall productivity. Deployed a Telegram bot to consume data from Kafka, ensuring instant notifications and updates regarding playlist statistics.

Github

E-commerce Website

Developed Spring Boot and React.js applications for an e-commerce platform. Implemented custom REST API security systems and integrated cloud functionality through Firebase. Designed and deployed modular Spring Boot apps for streamlined product management, orders, notifications, and payments.

Github

SPAM detection in prod

my latest Medium article on deploying a simple ML model for SMS spam detection! Dive in as I break down the process from data prep to going live with #LightGBM on Render.com. Perfect for beginners and anyone curious about #MachineLearning in action. Check it out and let me know your thoughts! ➡️ https://lnkd.in/dsNXxpJF

Contact

Location:

San Jose, California

Call:

+1(408) 658-9260