(Alternating Work/Study) as BI Consultant

Participated in the evolution of various data projects and provided maintenance support, and Completed an academic final project: A data pipeline that ingests data from various sources in order to visualize the data in real-time and train an LSTM model to predict stock prices based on sentiment analysis.

• Worked on data integration and ETL processes using SSIS and Azure Data Factory to streamline data workflows.
• implemented interactive data visualizations and dashboards using Power BI.
• Developed a real-time data pipeline using Kafka, MongoDB, and InfluxDB to ingest and process data from multiple sources.
• Built an LSTM deep learning model using Python to predict stock prices based on sentiment analysis.
• Visualized real-time data and model predictions using Grafana to provide insights into stock price movements.

Full-time BI Consultant

Collaborating on data projects from scratch following SCRUM methodology.

• Handled data integration and ETL workflows utilizing SSIS and Azure Data Factory to optimize and automate data processing
• Developed and optimized data models for efficient storage and querying in Azure Synapse Analytics.
• Performed data analysis, ensuring data consistency and accuracy, using SQL and DAX.
• Created and deployed interactive data visualizations and dashboards with Power BI to effectively present key insights to stakeholders.

Engineering degree in Computer Science

Bachelor's degree in Computer Science