Aspiring Data Scientist
I'm an aspiring Data Scientist with experience as an AI/ML Intern at iBase Technologies, where I developed an E-commerce Product Recommendation System that enhanced recommendation accuracy by leveraging machine learning techniques. I've also created a Campus Placement Management System, which I'm most proud of, demonstrating my ability to build impactful solutions. I'm now channeling my skills toward becoming a Data Analyst, ready to apply my expertise in data science and machine learning to drive data-informed decisions.
Developed a web-based placement management system using web technologies to organize internship and placement notifications and enable domain-based student applications.
Created a text-processing web application using Python-based logic to automatically generate structured question banks from input content.
Built a Python-based nutrition recommendation system that generates personalized daily meal plans using BMI-related parameters.
Implemented a machine learning recommendation model to suggest relevant products based on user interaction patterns.
2 Months
Worked on real-world AI/ML applications. Developed an E-commerce Product Recommendation System. Applied machine learning techniques for improving recommendation accuracy.
2 Months
Performed Exploratory Data Analysis and Data Visualization. Worked on Natural Language Processing techniques. Completed Air Quality Data Analysis project using data science methods.
B. Tech • 2023 – 2027
8.6
12th Board • 2022
85.33%
10th Board • 2020
91.8%
Secured 1st position in PromptCraft competition.
NSS
Participated in NGO drives contributing to community service and social impact initiatives.
Core team member of the departmental DataDive event.
Interested in collaboration or just want to say hello? Feel free to reach out!