About Me

Hi, I'm Vanshika—a senior-year Computer Science student at Michigan State University. I love turning data into insights, building full-stack apps, and swimming at the national level.

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Vanshika
Tech Illustration

Technologies

  • Python
  • JavaScript
  • React
  • Node.js
  • SQL / PostgreSQL
  • Firebase
  • Machine learning
  • TensorFlow & scikit-learn
  • Data analysis
  • Git / GitHub
  • Docker
  • REST APIs

    • Technologies

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Proficiency

Proficiency Illustration

Education

Work Experience

Jun 2024 – Aug 2024
Bosch Global Software Technologies, ML/Data Science Intern
  • Utilized CNNs to improve object detection and collision avoidance systems, achieving a 25% accuracy boost and a 30% reduction in processing time.
  • Employed Random Forest and Gradient Boosting on 500 000+ data points, improving AEBS accuracy by 20% and reducing false positives by 15%.
  • Conducted sentiment analysis on 100 000+ textual data points with transformer architectures, sparking a 10% increase in customer satisfaction.
May 2024 – Jul 2024
Elsamex, Ltd., Back End Developer Intern
  • Spearheaded development of an internal asset-management system with Django and Flask.
  • Designed SQL databases to track assets, improving tracking efficiency by 40%.
  • Enhanced system performance, reducing load times by 35% and enforcing secure access protocols.
May 2024 – Aug 2024
MSU New Student Orientation, App Developer
  • Developed the NSO app in JavaScript/React/React Native and Firebase for 20 000+ users.
  • Planned events and trained 100+ Spartan Leaders—boosting participation by 25%.
  • Streamlined admin processes with feature integrations—improving efficiency by 20%.
  • Used Xcode & Android Studio to preview iOS/Android builds.
Feb 2024 – Present
Michigan State University, Information Technology, IT Student Technician
  • Provide hardware support, maintenance, and troubleshooting for computers & mobile devices.
  • Manage software installations/updates across platforms.
  • Coordinate deployment, setup, and distribution of tech equipment.
Jan 2023 – Dec 2023
Michigan State University Museum, Project Management Intern
  • Directed an RFID-enabled Android app project, consulting with MSU Museum & Smithsonian stakeholders.

Projects

01

Sentimental Analysis

This web app allows users to analyze the sentiment of text reviews using a Logistic Regression model. It provides real-time analysis via a user-friendly interface, supporting individual inputs or CSV batch processing.

Code

02

AVL Tree Visualization

An interactive web app built with D3.js to visualize AVL tree operations, demonstrating balance maintenance through rotations during insertions and deletions.

Code

03

Resume Screening Tool

Developed a Flask-based web tool for automated resume screening, featuring an intuitive Bootstrap interface for visual analysis.

Code

04

Hash Tables

A custom hash table implemented in Python for fast data retrieval and storage. The session management system tracks user sessions using unique IDs and timestamp validation.

Code

05

Graph Methods

Implemented a variety of graph-related algorithms and data structures, including vertex and graph classes, priority queues, and search algorithms like BFS and A*.

Code

06

Finance Tracker

Collaborated with peers to create and successfully implement a personal finance tracker.

Code

Skills

I have a strong proficiency in machine learning, with expertise in developing and implementing algorithms for data analysis, predictive modeling, and pattern recognition. My skills encompass a wide range of ML techniques, including supervised and unsupervised learning, deep learning, and natural language processing. I am adept at using popular frameworks like TensorFlow, PyTorch, and scikit-learn to build and optimize models.

I excel in code optimization, focusing on improving the efficiency and performance of software applications. My expertise includes profiling and identifying bottlenecks, refining algorithms, and leveraging advanced programming techniques to minimize resource consumption. I am proficient in using tools and techniques to enhance code readability, maintainability, and execution speed, ensuring robust and scalable solutions.

I am proficient in parallel computing, with a deep understanding of techniques to distribute and optimize workloads across multiple processors and cores. My expertise includes utilizing frameworks like MPI, OpenMP, and CUDA to accelerate computational tasks, enhancing the performance of complex algorithms and data processing pipelines.

Socials

vanshika-kadian

This is where I network and build my professional protfolio.

kadianva@msu.edu

Ping me!

vanshikadian

This is where I share code and work on projects.