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Key Strengths

Demonstrated experience with Python and JavaScript, which are foundational for Data Science.
Exposure to Jupyter Notebooks, indicating familiarity with data exploration and model development environments.
Projects like 'aana.' (intelligent search engine) and 'TetraNeurons' (disaster management with ML potential) show an interest in AI/ML applications.
The 'SE-to-ML' repository explicitly states a learning journey towards Machine Learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong inclination towards mobile application development and general software engineering, with some recent exploration into machine learning. While there's an interest in ML, the overall portfolio is heavily skewed towards application development (Dart, Swift, Kotlin, Ruby, JavaScript, TypeScript). This indicates a potential mismatch with a dedicated Data Scientist role, which typically requires a deeper focus on statistical modeling, data analysis, and machine learning algorithms rather than application frontends or general software development. The diversity of technologies is broad but not deeply specialized in data science.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style in a team setting.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Adhishtanaka Kulasooriya

Data Scientist

https://www.opentalent.in/adhishtanaka-kulasooriya

I am a passionate Computer Science student with a strong foundation in AI integration for software development.

Sri LankaMember since June 26, 2026

https://www.opentalent.in/adhishtanaka-kulasooriya

Top Skills

DartRubySwiftKotlinObjective CJavaScripttypescriptPythonCSSDockerfileC++CMakeJupyter NotebookHTML

Skills

DartRubySwiftKotlinObjective CJavaScripttypescriptPythonCSSDockerfileC++CMakeJupyter NotebookHTML

Projects

vdwn

September 15, 2025 – Present

vdwn is a simple yet powerful interactive CLI tool for downloading videos and audio from YouTube and other supported sources. It handles installation of required dependencies automatically and offers a smooth, user-friendly experience.

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Beminithiya

June 21, 2025 – October 29, 2025

Beminithiya is a disaster management application with a React frontend, FastAPI backend, Appwrite integration, third-party API & MCP Server support.

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TetraNeurons

May 21, 2025 – October 29, 2025

TetraNeurons is a disaster management application with a React frontend, FastAPI backend, Firebase integration , third-party API & MCP Server support.

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SE-to-ML

April 28, 2025 – June 9, 2025

This repository documents my learning journey from Software Engineering (SE) to Machine Learning (ML). It includes various introductory notebooks and projects to help transition from SE concepts to fundamental machine learning techniques.

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todo-flutter-app

April 20, 2025 – April 21, 2025

A mobile Todo App built with Flutter that interacts with a shared backend powered by Next.js and PostgreSQL. This app supports authentication and full CRUD operations on todos, using Dio for HTTP requests and SharedPreferences for secure token storage.

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yourapp

February 13, 2025 – Present

YourApp is an AI-powered mobile IDE that lets users generate and refine fully functional apps using a prompt-based system. Instead of relying on limited or outdated app store solutions, users can build customized applications within the app itself .

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aana.

December 28, 2024 – December 26, 2025

An intelligent search engine combining multi-modal search with AI chat functionality. Built with React and FastAPI.

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Shuttle-app

December 25, 2023 – February 16, 2025

This Flutter-based shuttle tracking application provides real-time tracking of shuttle buses, displaying their locations on Google Maps, and estimating arrival times for selected destinations.

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Key Strengths

Demonstrated experience with Python and JavaScript, which are foundational for Data Science.
Exposure to Jupyter Notebooks, indicating familiarity with data exploration and model development environments.
Projects like 'aana.' (intelligent search engine) and 'TetraNeurons' (disaster management with ML potential) show an interest in AI/ML applications.
The 'SE-to-ML' repository explicitly states a learning journey towards Machine Learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit