Key Strengths

Demonstrated interest in AI and Data Analytics through personal projects like 'Stock-Market-Prediction-app' and 'Weather-Data-Pipeline'.
Proficiency in Python, a core language for AI and data science.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to deep learning concepts (BiLSTM) for time series prediction.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards data science, machine learning, and analytics, which aligns with the 'AI and Data Analytics Architect' target role. However, the projects are all personal and lack diversity in team collaboration or enterprise-level challenges. The experience level of 0 and the nature of the listed 'experience' suggest a very early career stage, which might not be a direct fit for a senior 'Architect' role requiring extensive industry experience and leadership.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a current role as 'AI and Data Analytics Architect' at a college starting in the future (2026), which suggests this is a target role or an aspirational entry rather than actual professional experience. No psychometric or English test scores are available.

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Jenina Angelin

AI and Data Analytics Architect

https://www.opentalent.in/jenina-angelin

Data Analytics and Accelerated AI

St. Joseph's College of Engineering

IndiaMember since June 12, 2026

https://www.opentalent.in/jenina-angelin

Top Skills

Jupyter NotebookHTMLCSSPythonProcfileShellKotlinJava

Skills

Jupyter NotebookHTMLCSSPythonProcfileShellKotlinJava

Experience

St. Joseph's College of Engineering

AI and Data Analytics Architect

June 12, 2026 – Present

Projects

GitHub-Commits-Fetcher

November 27, 2025 – November 27, 2025

A utility tool to download, archive, and manage GitHub commit history from repositories for analysis, auditing, and reporting purposes.

View Project

ETL-Project

August 27, 2025 – August 27, 2025

ETL-Project — GitHub repository

View Project

Todo-List-manager

February 7, 2025 – February 7, 2025

The To-Do List Manager is a simple Python-based task management tool that allows users to add, view, and mark tasks as complete while saving them for future use. It demonstrates key programming concepts like file handling, error handling, and control flow.

Quarterly-Analysis-of-Sales-in-Top-500-Companies

February 6, 2025 – February 6, 2025

This project analyzes the market capitalization and quarterly sales of the top 500 companies in India to derive key financial insights. It includes data cleaning, exploratory data analysis (EDA), and visualization to understand the relationship between attributes.

View Project

Weather-Data-Pipeline

January 8, 2025 – November 21, 2025

This Pipeline automates the collection, processing, and storage of weather-related information from APIs for further analysis, visualization, or machine learning applications.

View Project

Stock-Market-Prediction-app

May 1, 2024 – January 14, 2025

This app utilizes advanced deep learning algorithms to analyze historical stock data and predict future trends with unparalleled accuracy. Stay ahead of the market curve and make informed investment choices based on reliable forecasts generated by our BiLSTM-powered platform.

View Project

IDB-Analytics

November 21, 2023 – October 29, 2024

XYZ Medical Solutions - Patient Insights Project : Explore our analysis of surgical and hospital data acquired by XYZ Medical Solutions. Uncover key demographic trends, market opportunities, and actionable insights to guide strategic decisions.

View Project

Paint-App-using-Kotlin

November 4, 2022 – January 16, 2023

A Paint App Development work with basic functions of the application. Written purely in Kotlin and xml. Deployed using Android Studio.

View Project

Key Strengths

Demonstrated interest in AI and Data Analytics through personal projects like 'Stock-Market-Prediction-app' and 'Weather-Data-Pipeline'.
Proficiency in Python, a core language for AI and data science.
Experience with Jupyter Notebook for data analysis and model development.
Exposure to deep learning concepts (BiLSTM) for time series prediction.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit