Rashesh Desai | Portfolio

About Me

Passionate about AI-driven solutions, data analytics, and full-stack software development.

I am a Computer Science student specializing in Data Analytics with hands-on experience in AI, Machine Learning, and Full-Stack Development. Passionate about leveraging data-driven insights and automation, I have worked on projects ranging from AI-powered object detection to large-scale data processing and interactive visualization dashboards. With experience in cloud computing, computer vision, and software automation, I thrive at the intersection of AI and practical problem-solving.

Programming Languages

C, C++, C#, Python, Java, R, JavaScript, Angular, React, Flutter, TypeScript

Databases

MySQL, PostgreSQL, MongoDB, Firebase, SQLite, SQL Server

Cloud & DevOps

Docker, Kubernetes, Google Cloud (GCP), Microsoft Azure, Jira, Postman

Version Control & Tools

Git, GitHub, Bitbucket, Power BI, Tableau

Frameworks

Pandas, Flask, Numpy, Spring Boot, ASP .Net Core MVC, Xamarin

My Journey

2025

Data Analyst

Cattle Scan

Analyzed real-time livestock health data from internal bolus sensors to identify early signs of illness, supporting proactive farm management decisions.
Performed anomaly detection on animal vitals using SQL and Python to enhance alert accuracy and reduce false positives during summer temperature spikes.
Built and maintained Power BI dashboards to visualize herd health trends, trial metrics, and performance indicators for the product and business teams.
Assisted in root-cause analysis of underperforming predictive models and proposed data-driven improvements for better accuracy.

2024

Software Engineer Co-op

Evertz Microsystem

Automated test scripts in JavaScript to simulate user actions, improving test coverage and efficiency by 30%.
Developed Python scripts using WxPython framework to automate commands within Evertz’s MagnumPI software for regression testing, completing the task in 2 weeks despite its complexity.
Integrated Python-based test automation scripts into the existing CI/CD pipeline, enhancing regression testing efficiency by 25% and improving software reliability.
Collaborated in a Scrum environment, participating in daily stand-ups and sprint planning to improve development workflow.

2023

Data Scientist Research Assistant

CAAI - Encore Marketing Engagement

Integrated supervised and unsupervised machine learning algorithms and applied association rules in Data Mining to find trends and patterns from the dataset.
Demonstrated expertise in data preprocessing techniques, removed 5% of records with blank IDs, ensuring data quality, and enhancing model accuracy through cleaning, normalization, and transformation methodologies.
Empowered the marketing team with actionable insights, resulting in a 20% increase in strategic sales.

2022

Peer Program Tutor

Sheridan College

Facilitated one-on-one and group tutoring sessions to reinforce course concepts and improve student comprehension.
Managed scheduling and communication using MS Teams, SharePoint, and TutorOcean.
Mentored 30+ students in building cross-platform applications using C# and Xamarin framework
Debugged and reviewed student code, improving project success rates by 30% with actionable feedback.
Collaborated with professors to align tutoring sessions with .NET coursework

My Projects

AI Cricket Coach

Developed a real-time cricket shot suggestion system using YOLO and OpenCV that analyzes player stance and ball trajectory.

Python PyTorch OpenCV YOLO mediapipe Computer Vision

Open Bage

The Open Badge project gives you a module that produces custom SVG badges, giving you full control over fonts, sizes, padding, colors, etc.

JavaScript Express.js Node.js HTML/CSS

Interactive Data Visualization

Built an interactive dashboard to analyze Canadian demographic trends with filtering and real-time updates.

JavaScript Flask PostgreSQL

StackSwap Application

A Stack Swap Application using ASP .NET C# where user can trade cards.

C# ASP .NET Razor SQL Lite

FlaskMemo Web Application

A minimal web app built with Flask that lets users quickly add, view, and delete memos. This app is ideal for jotting down quick notes without the clutter of complex features.

Python Flask HTML/CSS JavaScript SQLite

My Achievements

Best Capstone Project

Secured 1st Place for the Best Capstone Project among Honors Bachelor of Computer Science students.

Fastest Task Completion

Recognized at Evertz for developing the most efficient automation scripts

Best Tutor of the Month

Recognized as Best Tutor of the Month for outstanding support and effective teaching in peer tutoring sessions.

My Certifications

MongoDB Aggregation in Python

MongoDB University · March 14, 2025

View Credential

Prompt Engineering & Programming with OpenAI

Columbia plus · August 6, 2025