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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ProfessorConnected
January 6, 2025 – January 27, 2025
ProfessorConnected is an API-powered tool that helps you discover professors with similar research interests by analyzing their arXiv publications using advanced NLP and vector search techniques.
View ProjectPresage
December 30, 2024 – January 3, 2025
Presage is an API-driven fortune-telling application that utilizes FastAPI and Large Language Models (LLMs) to analyze users’ palm images. By leveraging llm-cpp-server and Lang-Segment-Anything (SAM-Lang), it processes hand images to generate insightful analyses.
View ProjectSoccer-Vision
October 4, 2023 – November 24, 2023
Team Prediction & Player Detection using YOLOv8
View ProjectFace-Recognition
May 11, 2023 – June 7, 2023
Face Recognition for a single person. Performed Siamese neural network architecture and using Pytorch.
View ProjectBot-Player
March 20, 2022 – December 19, 2022
Media player written in python and a small recommendation service
View ProjectDCGAN-Tensorflow
December 25, 2021 – March 7, 2022
A simple implementation DCGAN with TensorFlow for MNIST dataset.
View ProjectPersian-Vehicle-License-Plate-Recognition
October 3, 2021 – October 3, 2021
Persian Vehicle License Plate Recognition
View ProjectNumber_Guesser
February 20, 2021 – February 23, 2021
A ML program which guesses the number that drawn with MNIST dataset and sklearn library.
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for data science and machine learning through numerous personal projects. The diversity of projects (NLP, Computer Vision, LLMs, GANs) indicates a broad interest in the field. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects are well-aligned with a Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approach, or communication style.