Summary
Overview
Work History
Education
Skills
Technincal Skillset
Activities
Project Work
Timeline
Generic

Raj Duraisamy

Seattle,WA

Summary

Proficient Data Scientist with over 3 years of experience in leveraging data-driven insights to drive business improvement and optimize overall performance. Skilled in predictive analytics and Machine Learning, adept at uncovering insights from complex datasets. Developed and implemented a predictive model that achieved a 20% improvement in accuracy when predicting client behavior.

Overview

3
3
years of professional experience

Work History

Data Scientist

OneCourt Inc.
02.2022 - Current
  • Build and set up new development tools and infrastructure to support ML
  • Designed and developed reusable infrastructure and device with machine learning models to translate live sports gameplay into trackable haptic vibrations for visual impairments
  • Assisted in developing device to translate live sports gamelplay into trackable haptic vibrations, in order for people with disability to follow game spatially in real time
  • Leveraged Python (NumPy and Pandas) to process real time data captured during NFL games, extract player and ball location data, and develop pipelines into device
  • Deploying Machine Learning (ML) to large production environments
  • Created interactive web app for creating and playing diverse vibration patterns on device; currently in use for innovating haptic for football and basketball
  • Developed backend REST API using FLASK to manage frame design requests to device
  • Facilitated collaboration between UX designers and software engineers to design and implement a dynamic haptic feedback that is intuitive, meaningful, and accurate to activity on field
  • Offered approaches to simplify data integration processes and standardize data feeds across systems, reducing data latency
  • Shared knowledge in performance, scalability, enterprise system architecture, and engineering standard methodologies
  • Developed data pipelines to support data driven decision making, enabling automated and real-time gaming insights to identify, predict and integrate players and ball locations data
  • Collaborated with UX designers, data scientists, data engineers and software engineers to design, develop, deploy and deliver data products
  • Considered valuable development team asset, represented company in conferences
  • Developed polished visualizations to share results of data analyses

Mathematics Tutor

Sylvan Learning
06.2021 - 08.2022
  • Provided personalized tutoring sessions to 3-4 students per hour, focusing on Math, reading, and SAT skills
  • Guided students through SAT test-taking strategies, prioritized speed and quantity over quality approach
  • Assisted students in identifying and addressing potential areas of improvement
  • Improved SAT test scores by 15%.
  • Supported students with helpful study habits and exam strategies.

Research Assistant

UW
06.2022 - Current
  • Explored convolutional neural networks to effectively model and predict sea ice motion in Arctic
  • Implemented linear regression, random forest, and MLP models by employing Python (NumPy, Pandas, Seaborn) contributing to comprehensive performance assessments.
  • Performed statistical, qualitative, and quantitative analysis.
  • Reviewed documents and data to identify trends and patterns.
  • Designed survey instruments tailored to specific research objectives for precise feedback gathering.
  • Kept abreast of current industry, scientific and regulatory developments and issues.
  • Recorded and analyzed data to produce reports of results.
  • Monitored project timelines, ensuring timely completion of tasks while maintaining high-quality output.

Education

Bachelor of Science in Statistics and Data Science, Interdisciplinary Honors Program -

University of Washington
Seattle, WA
05.2024

Skills

  • Data Analysis
  • Data Modeling
  • Statistical Analysis
  • Python Programming
  • Research and analysis
  • Research reporting
  • Data Collection
  • Teamwork and Collaboration
  • Analytical Thinking

Technincal Skillset

  • Python
  • R
  • Java
  • SQL
  • HTML/CSS
  • Java script
  • ML
  • NLP
  • Deep learning
  • React
  • Flask
  • GitLab CI/CD, Docker, Kubernetes
  • Tableau
  • D3

Activities

  • Built a club based on a vision orienting around AI projects and making AI resources accessible for underclassmen.
  • Led operations team to bring more than 20 members to the club by the first day of the meeting.
  • Created an educational program with Python boot camps and neural networks to help break the intimidating barrier for students interested in AI/ML.

Project Work

  • Predicting House Prices with Regression
  • TensorFlow to predict House prices by solving a Regression problem
  • Data Visualization
  • Neural network Nodel Evaluation


Timeline

Research Assistant

UW
06.2022 - Current

Data Scientist

OneCourt Inc.
02.2022 - Current

Mathematics Tutor

Sylvan Learning
06.2021 - 08.2022

Bachelor of Science in Statistics and Data Science, Interdisciplinary Honors Program -

University of Washington
Raj Duraisamy