AKASH SATPUTE

Machine Learning | Deep Learning | NLP | Generative AI

Resume

About Me

I’m Akash, a Data Science & AI enthusiast with an MSc in Industrial Mathematics with Computer Applications from Pune University. My expertise spans Machine Learning, Generative AI, Transformers, and Data Engineering, and I love transforming complex data into meaningful insights. I thrive on tackling challenges, learning rapidly, and contributing to impactful projects. If I’m not immersed in AI experiments, you’ll find me on the cricket field or keeping up with current events..

Skills

Technical Skills

Generative AI (LLMs, Transformers)
Computer Vision
Hugging Face, LangChain, LangGraph
Scikit-learn, TensorFlow, PyTorch
Pandas, NumPy, Matplotlib, Seaborn, Plotly
Power BI, Tableau
AWS (EC2, S3, Glue, Athena)
Fine-tuning AI Models
Prompt Engineering

Projects

Every project is a unique piece of development 🧩

Deep Research AI Agent

An AI-powered research assistant leveraging advanced language models and live web search to deliver structured, high-quality answers for research-heavy tasks.

  • Multi-step AI workflow with LangGraph
  • Real-time search using Tavily API
  • Summarization & synthesis via Mixtral & DeepSeek
  • Structured results with titles, URLs, and summaries

LangGraph

Tavily API

Mixtral LLM

DeepSeek LLM

Bank Customer Churn Prediction

A machine learning-powered Streamlit app predicting customer churn based on profile data, enabling businesses to identify high-risk customers and reduce attrition.

  • Built with TensorFlow & Keras
  • Deployed via Streamlit for real-time predictions
  • Data preprocessing with Pandas & Scikit-learn
  • Encoders & scalers stored using Pickle

TensorFlow

Keras

Streamlit

Pandas

Scikit-learn

Food Delivery Time Prediction And Route Optimization

I developed a machine learning model to accurately predict food delivery times and optimize delivery routes for increased efficiency. also implemented a scalable data pipeline using AWS services

ML

AWS

Customer Segmentation Using KMeans Clustering

Analyzed mall customer data to identify distinct segments based on age, annual income, and spending scores

EDA

ML

Online Course Registration Database using MySQL

Designed and Analyzed Online Course Registration Database using advanced SQL queires to help organizations make informed decisions.

MySQL

Contact

ab31satpute@gmail.com