Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with various ML models including Neural Networks (LeNet, CNN, ANN) and time series forecasting (Prophet).
Familiarity with Jupyter Notebook for data analysis and model development.
Exposure to real-time data processing and API integration (cryptocurrency, news summarization).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML, which aligns with a culture of continuous improvement. However, the lack of team-based projects or detailed descriptions of collaboration makes it difficult to fully assess cultural fit. The candidate has a diverse set of projects, but the experience level is very low, which might indicate a need for significant mentorship and integration into a team environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but collaboration, problem-solving approach, and communication style cannot be evaluated without interview data or specific project roles.

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John Joshua Obed.P

Data Scientist

https://www.opentalent.in/john-joshua-obedp

Hey Guys, I am John Joshua. P, an aspiring Data Scientist and an AI/ML enthusiast. I am here to contribute my part to the Git community.

WTA studios

HyderabadMember since June 14, 2026

https://www.opentalent.in/john-joshua-obedp

Top Skills

Jupyter NotebookPythonPowershellBatchfileDockerfileJavaScriptCSSHTML

Skills

Jupyter NotebookPythonPowershellBatchfileDockerfileJavaScriptCSSHTML

Experience

WTA studios

Data Scientist

June 14, 2026 – Present

Projects

news-summarizer-app

March 23, 2025 – March 24, 2025

News Summarization & Sentiment Analysis is a FastAPI + Streamlit application that fetches real-time news articles about a company, summarizes them, analyzes sentiment, and generates Hindi text-to-speech. It helps users quickly understand market sentiment and trends. 🚀

View Project

Traffic-Sign-Classification-using-Neural-Networks

February 28, 2025 – February 28, 2025

This is a project on Traffic Sign Classification using Neural Networks ( LeNet Mode)

View Project

Avocado-Prices-Prediction-using-Prophet

February 27, 2025 – February 27, 2025

This is a Time series forecasting project of Avocado Prices using Facebook's Prophet Model

View Project

Crime-Rate-Prediction-using-Prophet

February 26, 2025 – February 26, 2025

This is a Time series based forecasting project based on Crime Rates in New York from 2006-2018 using Facebook Prophet

View Project

Image-Classification-using-CNN-Model

February 26, 2025 – February 26, 2025

This is a simple Image Classification with CNN Model using the Cifar-10 Dataset which predicts the Images in the Cifar-10 datasets.

View Project

Primetrade.ai-Assessment

November 21, 2024 – November 21, 2024

The goal of this assessment is to fetch live cryptocurrency data for the top 50 cryptocurrencies, analyze it, and present the data in a live-updating Excel sheet. The Excel sheet should continuously update with the latest cryptocurrency prices.

View Project

AI-Forms-Builder-App

March 7, 2024 – March 7, 2024

This is an AI Forms Builder Application which has been created using Next JS, Typescript, Drizzle ORM, React, OpenAI and Stripe

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with various ML models including Neural Networks (LeNet, CNN, ANN) and time series forecasting (Prophet).
Familiarity with Jupyter Notebook for data analysis and model development.
Exposure to real-time data processing and API integration (cryptocurrency, news summarization).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit