anAI.
I help brands, code, and do some other stuff.
SchoolI studied Computer Science and Engineering at RTMNU.
Work ExperienceCurrently working as a Junior Performance Marketing Executive. Previously, I worked at GeeksforGeeks.
ProjectsI'm currently working on campaign performance project and "innit" our IDE web platform.
AchievementsFrom running modest ad experiments to managing ₹1+ million in performance campaigns, it’s been a journey of learning, jugaad, and results.
About Me.
Namaste! Born and raised in Nagpur, India, with a curious mind that always wanted to know how things work—whether it was a piece of code or the reason behind someone clicking on an ad. That curiosity led to a degree in Computer Science and Engineering, and somewhere along the way, a deep interest in data and marketing began to take shape.
Numbers have never just been numbers. They tell stories—of people, behavior, and decisions. There's something fascinating about finding patterns hidden in chaos and turning them into insights that actually make a difference. Whether it’s improving a campaign or solving a tricky problem, there’s real joy in using data to drive smart, meaningful change.
Outside the screen and spreadsheets, time is often spent volunteering or getting lost in a good book—always learning, always exploring.
Unleashing the Potential of Bits and Bytes!
Education.
Pursued Computer Science at RTMNU, where I discovered how logic, curiosity, and caffeine could build the future.
Technical Grad Classes:
- Advanced Algorithms
- Distributed Systems
- Computer Vision
- Machine Learning
Technical Undergrad Classes:
- Probability and Random Variables
- Fundamentals of Statistics
- Operating Systems Engineering
- Natural Language Processing
- Introduction to Python
- Computation Structures
Work Experience.
To view my full work experience, please visit my Linkedin page
The Hype Capital — Jan 2025 - Present
I manage client accounts and keep our social media buzzing with fresh, engaging content. From sparking conversations with followers to brainstorming creative campaigns with the team, I ensure every post not only entertains but performs — tracking results, optimizing for impact, and running data-driven performance marketing strategies to maximize ROI.
First Quadrant Labs — Aug 2024 - Oct 2024
As a Data Science Intern, used tech stacks like Python and TensorFlow to analyze data and create models that improved efficiency by 15%. I made clear visual reports to find patterns, boosting accuracy by 20%. Also helped launch and monitor AI models, reducing errors in real-time use.
Geeks for Geeks — Aug 2023 - Oct 2023
As a Front-End Intern, worked with tools like HTML, JavaScript, React, and MongoDB to manage and optimize student enrollment databases, ensuring accurate and efficient operations. Analyzed enrollment data to forecast future course demand, contributing to more effective resource planning. Collaborated closely with marketing and content teams to align data insights with business objectives, leading to improved teamwork and more informed decision-making.
Projects.
I'm always working on something new. Below are a few of my favorite projects!
Anomaly Detection and Event Prediction in Sensor Networks
Our client, a leading provider of innovative sensor network solutions, aims to revolutionize sensor network technology. This project focuses on developing an Anomaly Detection and Event Prediction system for sensor networks. The goal is to create a system capable of detecting anomalies and predicting events in real-time, enabling proactive responses to potential issues, and significantly enhancing monitoring capabilities within sensor networks.
Heart Disease Prediction
The primary objective of this project is to build and evaluate machine learning models for predicting the presence of heart disease based on a given set of features such as age, sex, blood pressure, cholesterol levels, and other relevant medical data. The goal is to achieve high accuracy while prioritizing sensitivity to minimize the risk of misdiagnosing individuals with heart disease.
Salary Range Prediction
Develop a machine learning algorithm to forecast salary ranges for job listings based on title, category, and location. This model will align postings with market standards, attract top talent, and support HR in budget planning. Ensure high accuracy, scalability, and provide detailed documentation for future reference.
Personal Website
This site! Built with HTML/CSS, React, Node.js.
Achievements.
Student Volunteer
Helped set up book stalls to share teachings on self-realization and inner peace. Worked with volunteers to distribute literature and raise awareness about living in harmony with oneself and the world. Spread awareness about climate change, highlighting our connection to everything. Focused on teamwork, selfless service, and supporting both spiritual and environmental growth.
Dean's List
Consistently honored on the prestigious Dean’s List in 2021 and 2022, embodying academic excellence and drive.
Contact Me.
I really enjoy meeting new people! Please feel free to reach out.
This site is built with Next.js and Tailwind CSS. View the source code on Github.