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Profile: Data Scientist with hands-on experience building data models, recommendation logic, ETL pipelines, and analytical tooling in Python and SQL. Key strengths include translating ambiguous business problems into data-driven solutions, running exploratory analysis, and developing algorithms that improve product outcomes. I bring a unique blend of technical execution, product ownership, and business thinking that enables organizations to move faster, make data-driven decisions, and gain measurable competitive advantages.…Profile: Data Scientist with hands-on experience building data models, recommendation logic, ETL pipelines, and analytical tooling in Python and SQL. Key strengths include translating ambiguous business problems into data-driven solutions, running exploratory analysis, and developing algorithms that improve product outcomes. I bring a unique blend of technical execution, product ownership, and business thinking that enables organizations to move faster, make data-driven decisions, and gain measurable competitive advantages.

Alexander Raouf

Data Scientist, Full Stack Developer, Web Developer, +2

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Profile: Data Scientist with hands-on experience building data models, recommendation logic, ETL pipelines, and analytical tooling in Python and SQL. Key strengths include translating ambiguous business problems into data-driven solutions, running exploratory analysis, and developing algorithms that improve product outcomes. I bring a unique blend of technical execution, product ownership, and business thinking that enables organizations to move faster, make data-driven decisions, and gain measurable competitive advantages.…Profile: Data Scientist with hands-on experience building data models, recommendation logic, ETL pipelines, and analytical tooling in Python and SQL. Key strengths include translating ambiguous business problems into data-driven solutions, running exploratory analysis, and developing algorithms that improve product outcomes. I bring a unique blend of technical execution, product ownership, and business thinking that enables organizations to move faster, make data-driven decisions, and gain measurable competitive advantages.

Available to hire

Profile: Data Scientist with hands-on experience building data models, recommendation logic, ETL pipelines, and analytical tooling in Python and SQL.

Key strengths include translating ambiguous business problems into data-driven solutions, running exploratory analysis, and developing algorithms that improve product outcomes. I bring a unique blend of technical execution, product ownership, and business thinking that enables organizations to move faster, make data-driven decisions, and gain measurable competitive advantages.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Founder and Lead Full Stack Developer at Acapella Finder

January 1, 2025 - Present

Designed and deployed data-driven ranking logic and search analytics that improved content discovery and user satisfaction. Created Python ETL pipelines to ingest, clean, and model millions of music metadata records, maintaining high data reliability and continuity. Performed exploratory data analysis on user behavior, query patterns, and usage cohorts, informing product road map decisions and ranking adjustments. Developed automated feature engineering processes to enrich results with additional signals, improving result relevance and model inputs. Implemented behavior-tracking and performance dashboards to measure engagement, surface patterns, and evaluate new feature impact. Collaborated across engineering and product decision-making to define metrics, test hypotheses, and validate improvements.

Senior Data Consultant at Capco

October 1, 2021 - January 1, 2025

Built end-to-end machine learning models (Python + scikit-learn) to predict marketing performance, identify high-ROI channels, and optimize media spend, improving campaign efficiency and CAC. Developed end-to-end dashboards using SQL and visualization tools to monitor campaign metrics, audience saturation, funnel leakage, retention performance, and attribution insights. Created data apps used internally by marketing and growth teams to streamline research, automate reporting, and surface high-value opportunities across campaigns. Implemented A/B and multivariate testing frameworks enabling scalable performance analysis and automated evaluation of creatives, targeting strategies, and landing pages. Led agile sprint cycles with two product owners, delivering high-priority features ahead of schedule in 90% of sprints. Mentored and upskilled team members, conducting weekly code reviews and live training sessions that improved productivity.

Data Analyst & Scientist at Festival Advisor

October 1, 2020 - January 1, 2021

Built end-to-end ETL pipelines in Python to ingest, transform, and centralize data from multiple external systems into the production database. Designed normalized data schema in PostgreSQL, improving reporting accuracy and simplifying analytics across product, content, and operations. Created Apache Superset dashboards to surface KPIs and trend insights, influencing road-map prioritization and business planning.