
Aditya Agashe
Data Scientist Deep Learning Machine Learning Problem Solver I'm a passionate data scientist with experience in... | Pune, Maharashtra, India
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Aditya Agashe’s Emails ad****@sa****.com
Aditya Agashe’s Phone Numbers 49610661****
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Aditya Agashe’s Location Pune, Maharashtra, India
Aditya Agashe’s Expertise Data Scientist Deep Learning Machine Learning Problem Solver I'm a passionate data scientist with experience in building impactful NLP and Computer Vision solutions for the enterprise and beyond. Currently at SAP Labs, I'm developing an NLP product to empower cloud customers and streamline product support. Previously, I honed my skills in Deep Learning, Computer Vision, and IoT projects. I've built custom object detection models, achieved high accuracy in image classification and gesture recognition, and deployed models on edge devices like Nvidia Jetson, Raspberry Pi. Here's what excites me: Building real-world solutions with cutting-edge technologies (NLP, Deep Learning, CV, GenAI) - Working collaboratively across teams to solve complex problems to increase efficiency - Contributing to innovation in the tech landscape of Deep Learning & Machine Learning Check out my repo here: https://github.com/agasheaditya
Aditya Agashe’s Current Industry Sap Labs
Aditya
Agashe’s Prior Industry
Mael
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Data Science Lab
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Sap Labs
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Work Experience

Sap Labs
Data Scientist
Wed Mar 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Sap Labs
Associate Data Scientist
Fri Jul 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Mar 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)
Data Science Lab
Software Developer - Python (Deep Learning, Computer Vision & IoT)
Mon Jun 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Jul 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Data Science Lab
Trainee –Associate Consultant
Thu Aug 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri May 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time)
Mael
Internship Trainee Developer
Tue Jan 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Apr 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)