About Me

I am a graduate student pursuing a Master’s in Computer Science at the University of Illinois, with a strong focus on machine learning, web development, and data-driven problem-solving. My technical expertise spans Python, R, and Java, along with a deep understanding of data visualization, statistical modeling, and scalable AI architectures. I have hands-on experience in developing intelligent systems that integrate advanced algorithms with intuitive, user-centric web interfaces. Passionate about bridging the gap between analytics and real-world application, I thrive in collaborative environments and am constantly seeking opportunities to innovate and expand my technical horizons.

Skills

Education

Languages
Java, C++, Python, R, SQL, React, HTML/CSS, Javascript
Relevant Courses
Deep Learning, Machine Learning, DBMS, Data Mining, Data visualization(R), Data Structures, Algorithms
Tools
Git, Docker, Word, Excel, IntelliJ, Visual Studio Code, Jupyter Notebook
Soft skills
Teamwork, Problem-solving, Time management, Communication

2024-current
Master's in CS at University of Illinois, Springfield, USA
Dec 2020 - May 2024
B.Tech in CSE at Punjab Engineering College, Chandigarh, INDIA
2019-2020
High School at L.B.S Sr. Sec. School, Rajasthan

Experience

Research Intern,
Indian Institute of Science Education and Research, Mohali

Developed an application for disease detection in bone marrow tissue image.
Utilized Qupath and ImageJ to analyze patterns in over 50 images and leveraged Python with key libraries like NumPy and scikit-image for cellularity assessment.
Alongside, annotated over 150 images and used this data to train our ML model that is integrated into the software for identifying regions of interest (ROI).
The application significantly reduce time taken by 75% and errors by 15% while enhancing overall eﬃciency.

Cyber Internship,
Chandigarh Police with Infosys

Mapped and categorized 30+ cyber fraud patterns, creating useful information that helped update policies, ultimately leading to a decrease in fraud incidents by 20% over six months.
Performed surveys using Google Forms and in-person meetings with over 400 participants, including cyber-victims, to collect detailed data.
Gained in-depth theoretical knowledge in cybersecurity through a series of lectures conducted by Infosys, covering key concepts and best practices in the field.

Projects

GHUMANTU

A CRUD web application based on microservice architecture for online ticket booking for over 150 cultural and heritage sites in India.

Managed the security part using concepts of Auth Service, JWT token, reverse proxy by API gateway, etc.
Enhanced user engagement and improved overall user experience across the platform.

React

Springboot

Tailwind CSS

PostgreSql

Toxic Comment Classifier

An application that detects toxic and vulgar comments in a document that can be used for further processing.

To build a model thats capable of detecting diﬀerent types of toxicity. like threats, obscenity, insults, and identity-based hate, achieving an accuracy of over 85%..
Used a machine learning algorithm to identify toxic comments and flag them for removal.

Python

Machine learning

Deep Learning

Visualization

Meal Recommendation System

A smart food recommendation system based on the macronutrients provided by the user like carbs, proteins and fats

Applied K-means algorithm to group the dataset based on similarity score.(Protein dominated, carbs dominated and neutral)
Implemented some rule based techniques and constraints to find combinations and select the best one based on input variables.
Maintained score variable to find deviation from target, applied DBScan and Hierarchial clustering to find best model.

Python

Machine learning

Statistics and rule based

Data Visualization

Hi, I'm Hivanshu
Tyagi From India.

About Me

Experience