Hi, I'm Abhipsa 👋

I’m an aspiring AI/ML engineer from India, working towards building impactful AI solutions through research, community learning, and hands-on experimentation.

I’ve participated in 15+ hackathons and ideathons. Beyond competitions, I’ve built end-to-end projects, led college clubs, and mentored juniors while sharing my journey through #BuildInPublic.

I have been contributing to open source projects and writing technical blogs to share knowledge.

When I’m not coding or exploring research ideas, I enjoy reading, listening to music, and painting.

Machine Learning • Data Science • Research-driven Development

Abhipsa Srivastava

Tools I’ve Used

Python
Jupyter
Pandas
NumPy
Matplotlib
Seaborn
Scikit-learn
PyTorch
TensorFlow
Keras
Flask
Streamlit
Git
GitHub
Docker
Linux
Ubuntu
MySQL
PostgreSQL
MongoDB

Projects

EduBridge

Student's friend, helping them to find resources and track their day on one platform, without time anywhere else.

Code
Customer Churn Modelling

A machine learning model that predicts customer churn to help businesses identify at-risk users and improve retention strategies.

Code · Live
Sales Prediction

ML model to forecast future sales.

Code · Live
Healthcare Data Provider Dashboard

A comprehensive system that validates healthcare provider information automatically, reducing manual work by 70-80% and improving data accuracy.

Code
Mood Recommender

Emotion-aware recommendation system.

Code · Live
SmartCity Dashboard

Monitoring greenhouse gas emissions.

Code

Experience

AI Intern @ ZenithIndia

Worked on fashion trend analysis "TrendWeave" which analyzed the previous trends in fashion to predict future trends.

Developed forecasting models using LSTM to predict market trends with 87% accuracy, improving decision-making efficiency.Automated the whole system, with success of 30%

Duration: July 2025 - Dec 2025

Winter Intern @ IIIT Allahabad

Modeled and analyzed 5G Network Slicing techniques during the internship, focusing on 5G architecture, Quality of Service (QoS) parameters, and Resource Allocation strategies.

Analyzed key Quality of Service (QoS) parameters and network Key Performance Indicators (KPIs) to drive intelligent, data-driven decisions for slice assignment and traffic management.

Duration: Dec 2024 - Jan 2025

Report Writer @ WikiClub Tech

Collaborated with team members to refine documentation and maintain knowledge-sharing formats.

I was tasked to create and structure technical and non-technical reports, which contributed by improving the documentation efficiency by 60%.

Duration: June 2024 - June 2025

Resume

You can view and download my resume here.

👉 Download Resume

Blog

I write about AI, ML experiments, and research ideas.

👉 Visit my blog 😉