Shrasti Singh

Skills

Python, C++, Java, JavaScript, SQL, HTML, CSS, React.js, Git, GitHub, NumPy, Pandas, Matplotlib, MediaPipe, MySQL, Jupyter Notebook, VS Code, Machine Learning, Data Annotation, Prompt Engineering, AI Model Evaluation, Data Analysis, Feature Engineering, Quality Assurance, Data Structures and Algorithms (DSA), Object-Oriented Programming (OOP), Database Management System (DBMS), Problem Solving, Debugging, Analytical Thinking, Attention to Detail, Communication, Teamwork, Time Management, Adaptability

About

I am a B.Tech. Computer Science (AI & ML) student at Pranveer Singh Institute of Technology with hands-on experience in artificial intelligence, machine learning, and software development. I currently work as a Data Annotator at Innodata, where I annotate and validate datasets, evaluate AI model outputs, and perform quality assurance for machine learning workflows. I also completed an AI internship at Infosys Springboard, where I developed a machine learning-based cricket score prediction system using Python, Pandas, SQL, and feature engineering techniques.

My technical skills include Python, C++, Java (Basics), JavaScript, React.js, HTML, CSS, MySQL, Git, GitHub, NumPy, Pandas, Matplotlib, and MediaPipe. I have built full-stack and AI projects such as Splitr, an expense-sharing web application, and NexaGesture, a real-time gesture recognition system using computer vision. Additionally, I have solved over 500 DSA problems on LeetCode, was selected for Amazon ML Summer School 2025, and co-authored a research paper on insider threat detection published at the EACE International Conference 2025.