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@lewiske
Results-oriented Data Engineer and Analyst specializing in data-driven solutions.
I am a results-oriented Data Engineer, Data Analyst, and Data Scientist with a Bachelor's degree in Mathematics and Computer Science from Jomo Kenyatta University of Agriculture and Technology. My expertise lies in data pipelines, cloud computing, statistical modeling, and machine learning, which allows me to deliver actionable, data-driven solutions that empower business decisions and drive insights.
During my internship at Quebec, I analyzed and interpreted complex data to support business decision-making. I designed and implemented data models, reports, and dashboards that streamlined business processes. As a freelance Data Analyst at Braintrust, I developed end-to-end data solutions using Python, SQL, and Scala, collaborating with cross-functional teams to define metrics and integrate real-time outputs into operational services.
Currently, I am working at Qubiten, where I analyze user behavior with Mixpanel and Amplitude to identify trends and optimize product performance. I create real-time dashboards in Tableau, Power BI, and Looker Studio, and I have built automated ETL pipelines with Python and Airflow to streamline data workflows. My work involves applying machine learning models to improve user retention and providing data-driven recommendations for UI/UX improvements.
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Work history, roles, and key accomplishments
Braintrust
Mar 2025 - Present (8 months)
Developed end-to-end data solutions using Python, SQL, and Scala to build automated pipelines and train predictive models. Collaborated with product, engineering, and business teams to define metrics and integrate real-time outputs into operational services. Analysed patterns and guided strategic decisions through interactive dashboards in Tableau and Looker Studio.
Qubiten
Jan 2023 - Present (2 years 10 months)
Analyzed user behavior using Mixpanel and Amplitude, creating real-time dashboards in Tableau, Power BI, and Looker Studio to visualize product KPIs. Wrote SQL queries in BigQuery, Snowflake, and Databricks for data analysis and reporting, and built automated ETL pipelines with Python and Airflow. Applied machine learning models with Scikit-learn, XGBoost, and Prophet to improve user retention, pr
Quebec
Jan 2022 - Present (3 years 10 months)
Analyzed and interpreted complex data to support business decision-making. Designed and implemented data models, reports, and dashboards to streamline business processes. Worked with cross-functional teams to gather requirements and improve data-driven strategies.
Degrees, certifications, and relevant coursework
Bachelor of Science, Mathematics and Computer Science
Studied a rigorous curriculum encompassing both mathematical theories and computer science principles. Developed strong analytical and problem-solving skills, with a focus on data analysis, statistical modeling, and programming.
Software and tools used professionally
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