AKPurendra

Data Scientist

https://talent.gravityer.com/akpurendra

Data Analyst || Machine Learning Engineer || Data Visualization || Data Story Teller.

Hyderabad, Telangana, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python, Jupyter Notebook, and relevant libraries (TensorFlow, Langchain, Streamlit).
Projects cover diverse areas within Data Science, including NLP (VaderSentimentAnalysis, RAGs, PDFChatUsingGemini, CSEC-RAG-Bot), computer vision (SmileDetection), and predictive modeling (CarPricePredictionPyweb, Movie-Recommendation).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects indicate a strong personal drive and interest in exploring various data science applications. The focus on personal projects suggests a self-starter attitude. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or broader cultural fit within an organizational setting.

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…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

CSEC-RAG-Bot

April 4, 2025 – April 5, 2025

Rag Based AI Bot to query files

View Project

RAGs

July 10, 2024 – July 10, 2024

RAGs — GitHub repository

View Project

SmileDetection

February 14, 2024 – February 14, 2024

Smile Detection App using CNN and Streamlit

View Project

PDFChatUsingGemini

January 7, 2024 – January 7, 2024

Creating a multiple PDF chat model using Gemini

View Project

Langchain-Apps

September 17, 2023 – September 17, 2023

Applications using Langchain and OpenAI models

View Project

Movie-Recommendation

July 29, 2023 – July 29, 2023

Streamlit app to recommend movie

View Project

VaderSentimentalAnlaysis

June 30, 2023 – July 4, 2023

VaderSentimentalAnlaysis — GitHub repository

View Project

CarPricePredictionPyweb

December 27, 2021 – December 27, 2021

Model deployment on Heroku

View Project

Decision-Tree-Pruning

May 24, 2021 – May 24, 2021

Cost Complexity Pruning Path

View Project

Training-with-Tensorflow

July 26, 2020 – July 26, 2020

This repository gives idea of Variable creation, creating the saver, using the GradientDescentOptimizer, epochs, loss function, learning rate, launch the session and saving the variable data.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through various personal projects.
Experience with Python, Jupyter Notebook, and relevant libraries (TensorFlow, Langchain, Streamlit).
Projects cover diverse areas within Data Science, including NLP (VaderSentimentAnalysis, RAGs, PDFChatUsingGemini, CSEC-RAG-Bot), computer vision (SmileDetection), and predictive modeling (CarPricePredictionPyweb, Movie-Recommendation).

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.

AKPurendra

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit