I’m a Machine Learning & Data Analytics Engineer with almost four years of experience. My expertise lies in building robust ETL pipelines, data marts, and insightful dashboards tailored for industries like engineering, finance, and more. I’m passionate about transforming complex data into meaningful insights that drive informed decision-making.
I completed my Master’s degree at TU Berlin, specializing in Machine Learning. During my studies, I developed a range of Machine Learning, Deep Learning, and Generative AI models for real-world applications, tackling challenges with innovative solutions and advancing my skills in data science.
Developed multiple ETL pipelines and dashboards that served over 100+ stakeholders across the GFTX, KATO, and GFBB.
Designed data pipelines and data marts using Airbyte, SQL, and dbt, and developed dashboards for marketing, finance, and executive teams, providing accurate, actionable insights to support critical business decisions.
Developed and maintained ETL pipelines and data marts using SQL in BigQuery, and created interactive dashboards in Looker to serve various stakeholders.
Designed data pipelines and dashboards for various stakeholders
Designed dashboards for various customers
Building efficient data pipelines to streamline data processing and integration.
Creating interactive dashboards to visualize key insights and metrics.
Providing in-depth data analysis to support data-driven decision-making.
Developing machine learning models for predictive insights and automation.
If you’re interested in collaborating or need assistance with a project, feel free to reach out to me on LinkedIn or via the email provided above. I look forward to connecting and exploring how we can work together!