---
title: "Chetana Tanmayee Tadikamalla - AI Engineer Level 3 in Hyderabad | Tal"
description: "Meet Chetana Tanmayee Tadikamalla, AI Engineer @ Meltwater R&D |Ex- Data Scientist @ Amex |M.tech in Data Science @ IIT Madras| Winner@Data Science Student Championship 2023 |Ex- Research Intern @ Adobe| ML, DL,NLP based in Hyderabad. AI stack includes antigravity, opencode, and claudecode."
image: "https://tal.club/meet/chetana-tanmayee-tadikamalla/share-image"
---

# Chetana Tanmayee Tadikamalla on Tal

## Headline

AI Engineer @ Meltwater R&D \|Ex\- Data Scientist @ Amex \|M\.tech in Data Science @ IIT Madras\| Winner@Data Science Student Championship 2023 \|Ex\- Research Intern @ Adobe\| ML, DL,NLP

## About

I'm an IIT Madras graduate with a specialisation in Data Science, driven by a deep passion for deep learning, generative AI, and natural language processing \(NLP\)\. My journey in this field includes multiple victories in ML hackathons, where I've honed my problem\-solving skills and expanded my knowledge\. I'm particularly excited about building generative AI solutions, exploring the endless creative potential they offer\. In addition to generative AI and NLP, I'm fascinated by computer vision, a field with immense potential to enhance our understanding of the visual world\. Technology's transformative power inspires me, and I'm committed to leveraging it to make a positive impact\. If you share similar interests or have exciting opportunities to collaborate, feel free to connect with me\.

## Location

Hyderabad

## AI stack

antigravity

opencode

claudecode

## Work experience

AI Engineer Level 3 at Meltwater, Apr 2026 \- Present · 5 mos

AI Engineer Level 2 at Meltwater, Dec 2024 \- Apr 2026 · 1 yr 5 mos, Hyderabad, Telangana, India

Data Scientist at American Express, Aug 2023 \- Dec 2024 · 1 yr 5 mos, India, Lead the development of the first\-generation initial line model for the BLOC Decision Science team, aimed at determining the optimal line amount for customers applying for the BLOC Product\. This innovative model utilizes a simple framework of predicting the desired line with 22 variables in the XGBoost algorithm, moving away from the traditional component modelling framework\. The dependent variable is meticulously designed to consider risk, profitability, and good borrowing behaviour exhibited by customers\. Key achievements of this project include: \- Demonstrated strong Out of Time performance with 96% GINI and 93% accuracy\. \- Applicable to both Pre\-Approved \(PA\) and Non\-Pre\-Approved \(NPA\) customers, with execution in RDE\. \- Increased overall line by 4% for NPA customers while reducing the defaulter line by 25%, improving the \- Line Control\(Defaulter Line / Non Defaulter Line\) from 0\.74 to 0\.53\. \- Projected to drive an annual PTI of $6 million\. This model represents a significant advancement in optimizing credit line assignments, ultimately enhancing customer experience and driving revenue growth\.

Teaching Assistant at TalentSprint, Jun 2023 \- Dec 2023 · 7 mos, Remote, As a Teaching Assistant for the 'Deep Learning and its Applications' and 'AI for Digital Health and Imaging' courses at NSE Talent Sprint, I guided students through hands\-on assignments and addressed their inquiries, facilitating an enriching learning experience

AI Engineer at Aristiun, Jun 2023 \- Aug 2023 · 3 mos

AI Engineer at RudderStack, Feb 2023 \- Aug 2023 · 7 mos

## Education

Master's degree, Civil Engineering, IDDD Data Science, Indian Institute of Technology, Madras

VelocIITy Junior College

[View the original profile](https://tal.club/meet/chetana-tanmayee-tadikamalla)

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