With over 3 years of experience as a data scientist in the banking industry at Dotin, I have developed expertise in building and deploying machine learning models for various projects, including customer churn prediction, time series forecasting, loan repayment prediction, clustering, and segmentation. Skilled in SQL, I have managed data extraction and manipulation, bridging the gap between data science and data engineering. My hands-on approach and technical proficiency enable me to deliver data-driven insights that drive business decisions.

As a Quality Assurance Engineer, I leveraged data analysis to monitor network performance, diagnose issues, and optimize systems. Experienced in using Python scripts, Excel, and SQL for automating network monitoring and analyzing traffic patterns, I developed skills in data-driven problem-solving. My background in network data analytics has been a strong foundation for my transition into data science.

During a 4-month internship, I collaborated as part of a team to implement an Internet of Things (IoT) solution for a smart parking system using Sigfox's IoT modules. My primary focus was on software development, specifically creating an Android app to facilitate the system's functionality. This role enhanced my skills in app development, IoT integration, and teamwork, allowing me to contribute to innovative tech solutions.This internship was the beginning of my craving for the coding world as I was first introduced to the OOP concepts in Java.