Aditya Jagtap

About Aditya Jagtap

Imagine a world where data doesn\'t just sit around but tells a story—That\'s the world I craft. From predicting market trends in crude oil to analyzing tweets and revving up electric motors, my intern stints have covered a spectrum. I make complex models user-friendly through Streamlit, turning data analysis into a sleek, interactive experience. Whether it\'s about forecasting, classification, or speed prediction, I\'m here, blending analysis with insight and a user-first approach. Got a question about data or need a forecast? Drop a message!Imagine predicting the unpredictable, like nailing where crude oil prices will land 40 days out. That was me at AI Variant in Bangalore, leading a project that was all about outsmarting the market\'s twists and turns. But it wasn\'t just about pretty graphs. I put stats to the test, making non-stationary data sit still for a change. The result? I developed a suite of models, but the spotlight was on LSTM. Bringing it to life, I launched an interactive web app on Streamlit that didn\'t just make bold predictions; it was a hit for its user-centric design, raking in significant user engagement stats.Ever thought a machine could detect sarcasm? That was my beat at AI Variant. Steering the Twitter Semantic Analysis project, I taught our system to pick out sarcasm from a tweet—no easy feat when you\'re dealing with the king of nuance: human language.I crafted a multi-classifier that could spot sarcasm, irony, and more with a whip-smart 90% accuracy, thanks to the finely-tuned Support Vector Classifier. The real cherry on top? I rolled this out into a slick Streamlit app that made real-time tweet classification as easy as tweeting \'Hello World,\' complete with the TensorFlow backbone to boost our analytical brawn.Speed is everything, and predicting it for electric motors was my game at AI Variant. In a whirlwind of data, algorithms, and models, my team and I chased down a 98% predictive accuracy score with the LGBM regressor. From raw data to a streamlined Streamlit app, we turned tech into art, painting a full picture of motor speed prediction for users to interact with on a platform that spelled out simplicity and sophistication.Passionate data intern, excelled in AI-driven forecasting, predictions, NLP. Aim to join a team that values innovation in analytics. From SQL to stunning sales insights - I\'m your go-to for data strategy. Let\'s collaborate and turn insights into action.

Experience

1. Data Analyst

   eClerx

   Mar 2024 — Present · Navi Mumbai, IN

Education

• Dr. Babasaheb Ambedkar Technological University

  Bachelor of Technology - BTech

  2019 — 2022