Experienced in data analysis and management, I possess a strong educational background in statistics and developing machine learning models. Skilled in optimizing digital workflows and creating pipelines, I excel in leveraging Python, Numpy, Pandas, and Power BI to deliver actionable insights for strategic decision-making.
During the initial four months of my role, my primary focus centered on digitalization and optimizing data workflows. I extensively utilized Microsoft products such as Power Automate and Dataflows to streamline processes and enhance efficiency.
As my tenure progressed, I transitioned towards a more data-centric role, specializing in analysis and management. I adeptly employed Python, leveraging libraries like Numpy, Pandas, and Pyscript, alongside M query, to handle data effectively. Additionally, I played a pivotal role in constructing pipelines using Microsoft Fabric and crafting insightful reports and dynamic dashboards using Power BI.
Data Processing Libraries (Pandas, Numpy, Pytorch, Scikit-learn, Keras)
Python
Jupyter Notebook
Power BI, Matplotlib for Visualisation
Statitics and Machine Learning Models
SQL and Data modeling