Data Scientist specializing in scalable AI systems and real-world machine learning applications.
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Argoman
Data Scientist
June 25, 2026 – Present
Smart-Mirror-with-Real-Time-Face-Detectio-and-Recognition
July 26, 2023 – July 26, 2023
This project is an intelligent mirror with real-time facial detection and recognition capabilities, providing personalized user interfaces and medication reminders. It utilizes FaceNetMobile, Tensorflow Lite, Google ML Kit, and Flutter Framework technologies for optimal performance.
View ProjectOnline-Pharmacy-Microservice
July 26, 2023 – July 26, 2023
This project is built using Python and FastAPI, offering a modern and efficient solution for managing an online pharmacy platform. With a focus on scalability, reliability, and security, our microservice project aims to streamline the entire process of buying and selling pharmaceutical products online.
View ProjectProvider-Boilerplate-Flutter
October 5, 2022 – October 5, 2022
A boilerplate of the Todoey app from London App Brewery
View ProjectFirebase-Chat-Flutter
October 5, 2022 – October 5, 2022
Flash Chat is a modern messaging app where users can sign up and log in to chat.
View ProjectLinkedinMoodle-Database
October 5, 2022 – October 5, 2022
Virtually integrated version of the Linkedin and Moodle
View ProjectHeart-Attack-Prediction
July 5, 2022 – October 7, 2022
Heart attack prediction using Machine Learning.
View ProjectMultiple-Linear-Regression
July 5, 2022 – July 5, 2022
Multiple Linear Regression template using Python.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of interests, from web development (Vue, TypeScript) to mobile development (Dart, Flutter, Swift, Kotlin) and data science (Python, Jupyter Notebook). This breadth suggests adaptability and a willingness to explore different technologies. However, the depth of engagement in each area is not clear from the descriptions. The current role as 'Data Scientist' aligns with the target role, but the lack of detailed experience makes it hard to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test scores are available.