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Passionate learner and problem-solver - dedicated to turning ideas into practical solutions.
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Assessing your cultural and operational fit
jobfit-ai
March 26, 2026 – Present
AI-powered job application assistant that analyzes job descriptions and resumes to generate tailored CVs and cover letters. Built with a full-stack architecture using TypeScript, featuring PDF parsing, intelligent matching, and automated document generation workflows.
View ProjectAI-Based-Heat-Demand-Forecasting
March 5, 2026 – Present
Machine learning-based system for forecasting residential heat demand using structured datasets. Built data pipelines, trained predictive models, and evaluated performance across multiple techniques to improve energy demand estimation and decision-making.
View ProjectCartoonifyMe
January 23, 2025 – January 23, 2025
A Python-powered application that transforms images and videos into cartoon-style visuals using advanced Machine Learning and image processing techniques. Built with Flask, OpenCV, and TensorFlow, it features seamless Google Cloud integration for efficient storage and API management.
View ProjectStep-Detection-using-Deep-Learning-Models
November 10, 2024 – November 10, 2024
Developed deep learning models (CNN, LSTM, Transformer) to detect and classify steps using accelerometer and gyroscope data from wearable sensors. Implemented data preprocessing, model training, validation, and testing using PyTorch, achieving efficient step detection with CSV output for analysis.
View ProjectReinforcement-Learning-Approaches-to-Blackjack
November 10, 2024 – Present
Integrated Reinforcement Learning (Q-learning) with traditional card counting to optimize Blackjack strategies. Incorporated rule variations and utilized Hi-Lo and Zen count systems, improving win rates. Explored RL adaptability to dynamically adjust strategies based on game state.
View Project3D-Object-Detection
August 11, 2024 – Present
Developed a real-time inspection system to assess manufacturing component maturity using CNNs (VGG ImageNet). Integrated TensorFlow, Keras, and OpenCV for image processing and classification on real and synthetic data.
View Project3D-Object-Recognition
May 1, 2023 – February 20, 2024
3D Part/Object Classification in Manufacturing Environments
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-driven learning and initiative. The projects are highly relevant to a Data Scientist role, demonstrating a passion for the field. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration and adaptability within a structured organizational culture. The focus on personal projects suggests a strong individual contributor profile.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and hands-on approach to problem-solving. The diversity of personal projects suggests self-motivation and a strong interest in applying technical skills. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.