
Ishaan Reddy

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About me
Computing and Data Science Student | Sai University
Education

Sai University
2021 - 2025Bachelor of Technology - BTech Computing and Data ScienceCoursework : Computer Vision, Machine Learning, Deep Learning, Distributed Computing and Big Data, DBMS

National Public School
2020 - 2021Cbse Computer Science
Stony Brook University
2025 - 2027Masters
Experience

Sai University
Jun 2022 - Sept 2022As a vital member of the Student Induction Committee, I played a pivotal role in orchestrating and executing a comprehensive week-long orientation program for the incoming batch of students Worked under the dean of economics, Dr. Shailender Swaminathan on the issue 'The role of work on health'. I implemented my data science skills to formulate analysis using libraries such as numpy, matplotlib and seaborn in python.
Student Volunteer
Jul 2022 - Sept 2022Research Assistant
Jun 2022 - Aug 2022

Customer Analytics, LLC
Jun 2023 - Aug 2023Data Science Intern1. Built an automated pipeline to extract, structure, and store over 100,000 records of customer data from Azure Blob Storage to the company database using Python libraries, signicantly reducing manual processing time.2. Visualized and analyzed 10,000+ customer data points for Ashley Furniture using Power BI and Python, providing insights that improved decision-making.3. Utilized machine learning models to predict sales trends, resulting in increased forecast accuracy and optimizing sales strategies Show less

Sai University
Nov 2023 - Oct 2024Sports Society PresidentAs the Sports Society President at Sai University, I lead sports events, manage facilities, and establish a lasting sports culture. Responsible for initiating a strong foundation in my university's early phase, I drive the development of athletics for the future.

Chennai Mathematical Institute
Jun 2024 - Aug 2024Computer Vision Project Intern1. Worked under Dr. Kavita Deshpande to developed two Automatic Number Plate Recognition (ANPR) pipelines: a traditional OpenCV-based approach and a deep learning-based solution.2. Designed the traditional pipeline using OpenCV techniques such as Blackhat operations, noise removal, and Otsu's thresholding for detection, paired with custom PyTesseract OCR for character recognition.3. Built a novel deep learning pipeline leveraging YOLOv8 for license plate detection with 99% accuracy and integrated it with a custom PyTesseract OCR for robust character recognition. Show less

Virtusa
Feb 2025 - nowAI Intern
Licenses & Certifications
- View certificate

AI for Medical Diagnosis
DeepLearning.AIFeb 2025 - View certificate

Introduction to Data Science in Python offered through Coursera
University of MichiganJul 2022 - View certificate

Introduction to Cloud Computing offered through Coursera
IBMAug 2022
Languages
- enEnglish
- hiHindi
- taTamil
- taTamil
- frFrench
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