TIRUMALA PRASAD MIDATHANA

Data Scientist

https://talent.gravityer.com/tirumala-prasad-midathana

Dont stop learning because life never stops teaching

visakhapatnam, Andhra Pradesh, India

Key Strengths

Demonstrated interest in AI/ML and data processing through projects like 'Ticket_Analyzer' and 'CORTEX_SQL_GENERATOR'.
Experience with Snowflake Cortex AI, Streamlit, and LLMs, which are relevant for a Data Scientist role.
Practical application of data pipelines and ETL concepts in projects like 'Retail-Sales-ETL-Pipeline' and 'SNOWGUARD'.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate a strong inclination towards personal learning and development in data science and AI. The diversity of projects, from AI-powered analyzers to pipeline monitoring and customer segmentation, suggests a proactive and curious individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Ticket_Analyzer

June 8, 2026 – Present

`AI-powered support ticket analyzer using Snowflake Cortex AI — medallion pipeline with auto-classification, sentiment scoring, LLM summarization, and a Streamlit-in-Snowflake dashboard.`

View Project

Data-Wishperer

April 23, 2026 – Present

Intelligent Pipeline Health Monitoring System

View Project

CORTEX_SQL_GENERATOR

April 19, 2026 – Present

It will generate the plain text to SQL query using LLM.

View Project

SNOWGUARD

April 18, 2026 – Present

SnowGuard – Intelligent Pipeline Health Monitoring System

View Project

Retail-Sales-ETL-Pipeline

October 28, 2025 – October 28, 2025

Retail-Sales-ETL-Pipeline — GitHub repository

View Project

Streamlit-aws-project

January 29, 2025 – January 29, 2025

Streamlit-aws-project — GitHub repository

View Project

CUSTOMER-SEGMENTATION

June 8, 2021 – May 11, 2022

CUSTOMER-SEGMENTATION — GitHub repository

View Project

Key Strengths

Demonstrated interest in AI/ML and data processing through projects like 'Ticket_Analyzer' and 'CORTEX_SQL_GENERATOR'.
Experience with Snowflake Cortex AI, Streamlit, and LLMs, which are relevant for a Data Scientist role.
Practical application of data pipelines and ETL concepts in projects like 'Retail-Sales-ETL-Pipeline' and 'SNOWGUARD'.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

TIRUMALA PRASAD MIDATHANA

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit