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ASHRITH APPANI

@ashrithappani

Data Scientist II at TVS Motor Company

Hyderabad

https://www.linkedin.com/in/ashrith-appani/

TVS Motor CompanyGandhi Institute of Technology and Managment

I am a seasoned Data Scientist and AI Engineer with over 4 years of experience at the forefront of transforming data into strategic insights. My goal is to leverage my expertise in machine learning, deep learning, and AI to drive innovation and deliver impactful solutions within a forward-thinking organization.

Experience

Data Scientist II

TVS Motor Company

•Jan 2022 - Present•Bangalore

Developed DataDialogAI, an advanced AI chatbot designed to handle data analytics and business intelligence through natural language processing. Leading the development of an AI powered application called AutoForesight for reducing TTM. Spearheaded the application of machine learning techniques in R&D and NPD divisions, optimizing product development and design processes. Developed and implemented advanced predictive models to enhance operational efficiency and product quality.

Associate Business Intelligence Analyst

Collins Aerospace

•Jan 2020 - Jan 2022•Bangalore

Led the development of an IP initiative titled "Face Mask Detection and Physical Distance Monitor", leveraging machine learning for enhanced safety. Pioneered a proof of concept for an Aircraft's Digital Twin, improving digital asset management. Managed AWS resources, developed APIs, and implemented DevOps practices in an API Management project, enhancing system integration and deployment. Worked as a Full Stack Python developer for an OCR based application titled "SmartBid".

Education

Gandhi Institute of Technology and Managment

B. Tech

CSE

Jan 2016 - Jan 2020•Grade: 8.51

Sri Gayatri Junior College

Intermediate

Jan 2014 - Jan 2016•Grade: 87.1

Greenwood High School

CBSE - X Standard

Jan 2014 - Jan 2014•Grade: 10

Skills

Python
Java
C
CPP
HTML
CSS
JavaScript
Tensorflow
Keras
PyTorch
CNNs
RNNs
GANs
XGBoost
Random Forests
SVMs
Neural Networks
Large Language Models
NLP
AWS
Azure
Databricks
Git
Docker
SQL
NoSQL