Rallapalli Goutham Deekshith

Data Scientist

https://talent.gravityer.com/rallapalli-goutham-deekshith

Hyderabad, Telangana, India

Key Strengths

Demonstrated proficiency in Python for data analysis and machine learning tasks.
Experience with SQL for data warehousing, including TSQL and PL/pgSQL.
Familiarity with data warehousing concepts like ETL, data modeling, and Medallion architecture (Bronze/Silver/Gold layers).
Practical experience with data visualization tools like Streamlit and Jupyter Notebook.
Exposure to cloud data platforms like Snowflake.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal and heavily focused on Kaggle competitions and data warehousing exercises. While demonstrating technical initiative, there is no information regarding collaborative work, team environments, or diverse project types that would indicate strong cultural fit for a senior role requiring broader engagement. The projects align with a Data Scientist role, but the lack of professional experience or team-based projects limits the assessment of cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical execution.

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Projects

Football-ML-Pipeline-Dashboard

May 1, 2026 – Present

This project is a small football analytics dashboard built with Python and Streamlit.

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FIFA-World-Cup-Match-Prediction-using-Model-Selection

April 23, 2026 – Present

FIFA-World-Cup-Match-Prediction-using-Model-Selection — GitHub repository

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FIFA-World-Cup-EDA-Analysis

April 23, 2026 – Present

FIFA-World-Cup-EDA-Analysis — GitHub repository

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Streamlit-SnowflakeSQL-Datawarehouse

April 14, 2026 – Present

Built a Streamlit dashboard on Snowflake using a Medallion (Bronze/Silver/Gold) architecture, with KPIs, trends, and drilldowns. Includes a Pipeline Health/Freshness tab to monitor ingestion status across layers for reliable analytics.

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Kaggle-Spaceship-Titanic-Competition

April 13, 2026 – Present

Kaggle-Spaceship-Titanic-Competition — GitHub repository

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Kaggle-Telcom-Customer-Churn-Prediction

April 11, 2026 – Present

Kaggle-Telcom-Customer-Churn-Prediction — GitHub repository

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Snowflake-SQL-Data-Warehouse-Project

April 10, 2026 – Present

A Snowflake data warehouse project implementing the Medallion architecture to ingest, clean, and model simulated business data into a star schema.

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SQL-Data-Warehouse-Python-Automation

April 1, 2026 – Present

SQL-Data-Warehouse-Python-Automation — GitHub repository

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SQL-Data-Warehouse-Pipeline

March 30, 2026 – Present

Built a modern data warehouse with SQL Server, including ETL processes, data modeling and analytics.

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Ground-Water-Level-Analysis-and-Prediction

December 12, 2019 – March 5, 2024

Ground-Water-Level-Analysis-and-Prediction — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python for data analysis and machine learning tasks.
Experience with SQL for data warehousing, including TSQL and PL/pgSQL.
Familiarity with data warehousing concepts like ETL, data modeling, and Medallion architecture (Bronze/Silver/Gold layers).
Practical experience with data visualization tools like Streamlit and Jupyter Notebook.
Exposure to cloud data platforms like Snowflake.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical execution.

Rallapalli Goutham Deekshith

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit