Pradyumna R

Data Scientist

https://talent.gravityer.com/pradyumna-r

IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python for data science tasks, including ML model development and application building (Streamlit).
Exposure to cloud platforms (AWS Sagemaker) and data warehousing (Snowflake) in a project context.
Projects cover diverse areas within Data Science: price optimization, nearest neighbors, marketing attribution, search engines, forecasting, and LLM applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards self-directed learning and practical application of data science concepts. The diversity of projects suggests adaptability and a willingness to explore different problem domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

upskilling_sql

October 17, 2024 – December 9, 2024

upskilling_sql — GitHub repository

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invoice_extractor

August 17, 2024 – August 17, 2024

Invoice extractor application using google gemini and streamlit

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approxKD

August 16, 2024 – August 16, 2024

A Python package to find approximate nearest neighbors using KD-Trees

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news_article_search_engine

August 1, 2024 – August 3, 2024

Accurate and Scalable Search Engine for News Articles on AWS Using SBERT and ANNOY to Enhance Search Relevance

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final_year_project

July 9, 2024 – July 9, 2024

Deep learning based Signature Detection and Verification System

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blog_generator

July 6, 2024 – July 6, 2024

Blog Generator App using Llama2 and Streamlit

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qa_chatbot

July 6, 2024 – July 6, 2024

Conversational Q&A Chatbot using OpenAI, Langchain and Streamlit

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healthcare_forecasting_system

July 4, 2024 – July 4, 2024

ML-based Automated Prediction System for predicting patient length of stay in hospital using Python, AWS Sagemaker, and Snowflake

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retail_price_optimization

June 13, 2024 – June 13, 2024

Retail price optimization of food products in a Burger restaurant

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marketing_attribution

January 18, 2024 – January 18, 2024

Marketing Attribution using the Markov Chains

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python for data science tasks, including ML model development and application building (Streamlit).
Exposure to cloud platforms (AWS Sagemaker) and data warehousing (Snowflake) in a project context.
Projects cover diverse areas within Data Science: price optimization, nearest neighbors, marketing attribution, search engines, forecasting, and LLM applications.

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.

Pradyumna R

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit