About
Aspiring Data Scientist & ML Engineer
Hello, and welcome! You’ve found the right place if you’re looking for a skilled Data Scientist & ML Engineer.
Leveraging cutting-edge Data Science, Machine Learning, and Generative AI techniques, I've consistently driven impactful results across various domains. From significantly enhancing athlete performance in preparation for the upcoming Paris Olympics to pioneering deep learning solutions in healthcare, my innovative strategies transform data into actionable insights.
Additionally, I have streamlined insurance claim processing, setting new industry standards and delivering exceptional value. My results-oriented approach ensures continuous improvement and success in every project I undertake.
I am dedicated to collaboration, continuous improvement, and staying ahead with emerging technologies, making me a perfect fit for roles in Data Science, Analytics, ML, DL, and GenAI. Let’s connect and explore how we can drive success together.
- Country: USA
- City: Indianapolis, IN
- Degree: Masters in Data Science
- Email: harshmpandya.00@gmail.com
Facts
Learn the facts about me here!!!!
Months of Experience Internship + Part Time
Projects Until May 2024
Certificates From all learning platforms
Skills
Programming Languages and Platform Skills
(S3, EC2, ECR, IAM, SageMaker)
(Text, Vision)
Resume
Summary
Harsh Pandya
My deep technical expertise is complemented by strategic insights, utilizing SQL, Python, and Tableau to deliver actionable results. I have a strong focus on generative models, seamlessly blendiI specialize in driving transformative outcomes through cutting-edge machine learning, data analytics, and MLOps practices. By leveraging state-of-the-art tools, frameworks, and cloud technologies, I build robust AI solutions that make a significant impact.
Education
Masters in Data Science
Aug 2022 - May 2024
Indiana University Bloomington, IN
Coursework:
- Data Mining
- Applied Machine Learning
- Introduction to Statistics
- Advanced Database Concepts
- Exploratory Data Analysis
- Medical Image Processing
- Financial Econometrics
- Machine Learning in Econometrics
Bachelor of Engineering in Information Technology
June 2018 - June 2022
University of Mumbai, India
Professional Experience
Data Scientist
Oct 2022 - Present
Indiana University Athletics
- Streamlined U.S. Diving team's training and recruitment process by creating KPI dashboards, leading to a 40% boost in efficiency through collaboration with the Olympic head coach and U.S. Olympic and Paralympic Committee.
- Developed a Python-based data pipeline, incorporating Selenium and SQL, to automate the collection and analysis of 1 million data records, enhancing daily training insights and achieving a 50% increase in athlete performance rates.
- Strategized and conducted statistical analysis to address success rate challenges, contributing to the team's consecutive victories in the 2023 and 2024 Big Ten championships for Indiana University.
- Optimized performance feedback by constructing a robust data infrastructure, ensuring timely and accurate insights into player metrics, leading to improved decision-making and training adaptations.
- Led initiatives to identify and rectify inefficiencies in training methods, leveraging data-driven approaches to enhance overall team performance and recruitment effectiveness.
Machine learning Associate Intern
Feb 2022 - May 2022
Infosys Springboard
- Applied Generative AI techniques such as GANs using TensorFlow, to develop image-to-image translation solutions for color vision deficiency, enhancing algorithm accuracy through rigorous experimental refinement.
- Innovated in data generation by implementing a Python-based research algorithm, effectively addressing challenges and boosting simulated image creation by 30%.
- Collaborated with cross-functional teams to define requirements and execute data-driven solutions, driving significant improvements in data generation processes and algorithm performance.
Machine learning Intern
Apr 2021 - July 2021
AiBorne Tech
- Directed a team of three, collaborating with manufacturing personnel to create computer vision models using RCNN, Detectron2, and OCR (Google Vision API). This project led to a 60% reduction in insurance claim processing time.
- Enhanced damage detection model accuracy by 4% through targeted research and preprocessing improvements. This resulted in precise damage price estimations and increased Customer Lifetime Value by 15%.
Contact
Please contact me here !
Location:
2667 E 7th St., Bloomington, IN
Email:
harshmpandya.00@gmail.com