Welcome to my Homepage: ACTIVELY LOOKING FOR A MACHINE LEARNING ROLE

Having grown up a family of farmers I developed interest in observing the earth and prediction of environmental conditions to the most accurate as possible. Being in the field intersecting mathematics and computer engineering, and having spent time in business sectors, I will bring this set of skills to make the impactful move within you organization. I am actively lookig for Machine Learning Role, most preferable PhD position in developing solutions to make satelite imagery be more accessible and usable in industry

Having grown up in the filed intersecting mathematics and computer engineering, and having spent time in business sectors, I will bring this set of skills to make the impactful move within you organization. My passion for understanding the power of data and its potential impact on business sets me apart. If you are looking for a dedicated and motivated individual who appreciates the strategic role of data, I would love to connect and discuss potential opportunities further

Recent Projects

Project 1:Unveiling Patterns in French Weather and Electricity Consumption.

This data analysis project delves into the intricate relationship between historical daily weather data for France and its correlation with electricity consumption. Navigating through ten detailed steps, the analysis includes data retrieval, correlation matrix calculations, synchronization of time series, and the application of multivariate regression models. From fitting quadratic models to exploring the impact of day-of-the-week effects, each step contributes to a comprehensive understanding of the dynamics at play.

Project 2: Credit Card Segmentation and Prediction project.

In this report, I present a comprehensive analysis of a Credit Card Segmentation and Prediction project. The context involves utilizing machine learning techniques to classify credit card users into distinct segments. The problem stems from the need to understand user behavior and tailor financial services accordingly. My main purpose is to develop a predictive model for segmenting credit card users based on their transactional patterns. The approach includes a detailed process overview, data preparation, exploratory data analysis, performance metric selection, unsupervised and supervised model building, learning curve-based model debugging, and model deployment.

image from Project 3: Anomaly-Based Intrusion Detection

Project 3: Deep Analysis in Anomaly-Based Intrusion Detection and Prevention

In this personal data science endeavor, I undertook a comprehensive analysis of the CICIDS2017 cybersecurity dataset, delving deep into the intricacies of Anomaly-Based Intrusion Detection and Prevention. This project aimed to enhance my data science proficiency by extracting meaningful insights from network traffic data and providing valuable perspectives for cybersecurity strategies.