---
title: "Kavyasree Chatakonda - Data Scientist in Bengaluru | Tal"
description: "Meet Kavyasree Chatakonda, Data Analytics & AI | Data Scientist | SQL • Python • Snowflake • Power BI | Machine Learning • GenAI • LLM | AI-Powered Analytics based in Bengaluru. AI stack includes claude code, github copilot, and langchain."
image: "https://tal.club/meet/kavyasree-chatakonda/share-image"
---

# Kavyasree Chatakonda on Tal

## Headline

Data Analytics & AI \| Data Scientist \| SQL • Python • Snowflake • Power BI \| Machine Learning • GenAI • LLM \| AI\-Powered Analytics

## About

I’m a Data Professional with 5\+ years of experience across data analytics, data quality, machine learning, and AI\-enabled analytics solutions\. My work sits at the intersection of data, business problems, and emerging AI technologies\. I enjoy taking a problem from understanding the business requirement and validating the underlying data to building analytical, machine learning, or AI\-powered solutions that can be used in practice\. Over the course of my career, I’ve worked across: • Data Analytics & BI — SQL, Python, Power BI, data analysis, data validation, and data quality • Data Science & Machine Learning — classification, multi\-class classification, and computer vision • AI & GenAI — AI\-powered analytics assistants, Snowflake Cortex, OpenAI API, natural\-language analytics, and LLM evaluation • Data Platforms — Snowflake and semantic models In my current role as a Data Scientist, I work on AI\-powered analytics assistants that connect business data and semantic models with natural\-language interfaces\. I’ve also built evaluation and testing workflows for AI\-generated responses, investigated data and pipeline issues, developed monitoring and alerting mechanisms, and worked on machine learning and sentiment\-analysis solutions\. Previously, I worked on customer journey analytics, EV charging behavior analysis, Power BI reporting, and a computer\-vision solution for extracting meter readings from user\-uploaded images\. What I enjoy most is solving problems where the answer isn’t simply sitting in a dataset — understanding the data, finding what is actually happening, and turning that into something useful\. Core areas: Data Science \| Data Analytics \| SQL \| Python \| Snowflake \| Power BI \| Machine Learning \| Computer Vision \| Generative AI \| LLM Evaluation \| AI Assistants \| Natural\-Language Analytics

## Location

Bengaluru

## AI stack

claude code

github copilot

langchain

mcp

openai

Microsoft Copilot

## Work experience

Data Scientist at Data Radian Technologies, Jan 2025 \- Present · 1 yr 10 mos, Hyderabad, Telangana, India, • Work on AI\-powered analytics assistants using Snowflake and Snowflake Cortex, connecting business data and semantic models to enable natural\-language analytical queries and responses\. • Build and execute evaluation and testing workflows for AI assistants, validating generated responses against source data and business expectations and investigating incorrect, incomplete, or inconsistent answers\. • Develop data monitoring and alerting mechanisms for device and flow data to identify unexpected changes in data volumes and pipeline behavior and surface potential issues\. • Investigate data and pipeline issues by analyzing data patterns, identifying anomalies and failure points, and supporting resolution of underlying problems\. • Developed a product\-review sentiment analysis solution using the OpenAI API, consolidating reviews from multiple platforms and classifying them as Positive, Neutral, or Negative, with further categorization into relevant tags\. • Worked on a multi\-class classification solution to predict categories for newly introduced items using historical categorized item data together with item and supplier attributes\. • Collaborate with business and technical stakeholders across testing, validation, investigation, and delivery of data and AI solutions\. Key areas: Snowflake \| Snowflake Cortex \| SQL \| Python \| OpenAI API \| Generative AI \| LLM Evaluation \| AI Assistants \| Machine Learning \| Data Monitoring

Data Analyst at Data Radian Technologies, May 2023 \- Dec 2024 · 1 yr 8 mos, • Performed data quality and validation activities across business datasets, assessing completeness, accuracy, consistency, uniqueness, and adherence to defined business rules\. • Conducted detailed data validation and investigation to identify discrepancies and support reliable downstream reporting and analytics\. • Worked with business and technical stakeholders to understand data requirements, investigate data issues, and validate datasets against expected business definitions and quality standards\. • Supported analytical and data\-quality initiatives by investigating data patterns, identifying inconsistencies, and helping ensure trustworthy data for downstream use\. Key areas: SQL \| Data Analysis \| Data Quality \| Data Validation \| Data Investigation \| Business Requirements \| Analytics

Data Science Engineer at Smart Energy Water, Jul 2021 \- May 2023 · 1 yr 11 mos, • Built Power BI dashboards and interactive reports to analyze product and application data, translating business requirements into analytical visualizations and actionable reporting\. • Performed customer journey analytics using click\-level application data to understand user navigation, banner interactions, page movement, and funnel behavior\. • Analyzed EV charging behavior across peak and non\-peak periods and identified potential customer savings opportunities through shifting charging activity to lower\-cost periods\. • Conceptualized and led the development of a Self\-Meter Reading computer\-vision solution to extract meter readings from user\-uploaded images\. • Implemented a two\-stage computer\-vision approach to first identify the meter\-reading region and then detect individual digits, adapting an existing Darknet\-based implementation to the project dataset and requirements\. • Designed validation logic around the detected reading region to identify irrelevant or invalid uploads before attempting digit extraction\. • Coordinated image\-data annotation and took ownership across solution planning, implementation, testing, performance monitoring, and handoff to the product team\. Key areas: Python \| Power BI \| Customer Journey Analytics \| Computer Vision \| Darknet \| Data Analysis \| Machine Learning

## Education

MSc in Data Science & Artificial Intelligence, Woolf

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, BML Munjal University

[View the original profile](https://tal.club/meet/kavyasree-chatakonda)

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