Python Programmer | Data Analytics | Machine Learning

I have utilized tools like Looker Studio to create insightful data visualizations. These visualizations have been integral to performance reporting and decision-making processes, as seen in my previous projects where I automated the transformation of data into actionable insights.

I have developed multiple Python applications for data processing, automation, and machine learning. For instance, I created the SyncNet tool to automate the detection and correction of parameter mismatches, significantly reducing validation time and improving data accuracy. Proficient in writing clean, maintainable, and efficient Python code for various applications.

My role involved cleansing and transforming raw data, integrating it into centralized databases, and ensuring its quality and accessibility. I have extensive experience in automating ETL processes using Python. This includes developing scripts that extract, transform, and load data, reducing manual intervention and errors. The automation tools I’ve developed have consistently enhanced operational efficiency and accuracy.

I have applied machine learning techniques to projects like Network Traffic Forecasting. Using tools like Scikit-Learn, TensorFlow, and XGBoost, I built predictive models to forecast network traffic utilization, helping to prevent congestion and optimize network performance.

I have successfully managed multiple projects from conception to deployment. By setting clear goals, establishing milestones, and maintaining regular communication with stakeholders, I ensured timely delivery and high-quality outcomes.