MARVIS-Agent: all-purpose credit risk agent for model development, validation, data processing, feature engineering, and strategy workflows.

Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

⚠️ [Deprecated] SDK for the Geti™ platform (v2.x only)

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

Develop a deep learning model capable of predicting traffic flow in urban environments. The model will utilize historical traffic data, weather conditions, and road configurations to forecast traffic patterns. This information can be invaluable for traffic management systems, helping to optimize traffic signals and reduce congestion, ultimately.

Forecast Apple stock prices using Python, machine learning, and time series analysis. Compare performance of four models for comprehensive analysis and prediction.

A verification pipeline for evaluating models and forecasts.

Explore machine learning projects that include supervised, unsupervised, and reinforcement learning. These projects cover classification, regression, natural language processing, time-series analysis, explainable AI, and image segmentation.

Showcase of MLflow capabilities

Here you will find 10+ data analysis projects that showcase my skills and experience in data analytics.

The system will analyse and predict patterns in electricity demand, renewable power generation, and battery storage, enabling automated, intelligent decisions that minimize energy waste and reduce costs.

Very simple Python logger for machine learning experiments

End-to-end Machine Learning Operations (MLOps) workflows, including model development, versioning, CI/CD pipelines, deployment, monitoring, and automation. Built as part of my MLOps course to demonstrate real-world practices for managing production-grade ML systems.

Data analysis with Python to building and evaluating data models

Classification Model to predict whether the customer has claimed their insurance or not.

In this repository, you’ll learn in-demand skills used by data scientists, like Data Gathering, Analysis & Visualization, Statistical Analysis, Predictive Modeling, Machine Learning, and Data Mining. You’ll also work with the latest languages, tools, and libraries, including Python, SQL, Pandas, Numpy, ScikitLearn, Seaborn and Matplotlib.

🔬 Flask API for the Neuro Gambling Scanner project – Predicts gambling addiction risk using machine learning and returns personalized interventions.

I worked through these machine learning algorithms to complete assignments in the European Center for Medium Range Weather Forecasting MOOC class

Detect buried land mines based on magnetic field distortions.

AI powered Image-Based application for detecting and predicting disease and abnormalities.