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Alexander
Data analyst
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Competencies
Demonstrated experience with SQL.
Demonstrated experience with Python.
Demonstrated experience with Statistical Analysis.
Demonstrated experience with Data Cleaning.
Demonstrated experience with Data Validation.
Education
Languages
Summary
Data analyst open to new opportunities
Experience
Data Analyst
Reviewed and evaluated short-form content, including memes, videos, posts, and scripts, using defined analytical criteria such as cultural relevance, relatability, originality, and clarity.. Applied structured evaluation frameworks to assess content quality and identify recurring patterns, formats, trends, and cultural signals.. Analyzed North American audience trends and social norms to provide clear, logical explanations supporting consistent decision-making.. Communicated analytical findings clearly and concisely while maintaining consistency with established evaluation criteria.. Used Microsoft PowerPoint to organize evaluation findings into clear, logical storylines that made complex observations understandable for different audiences.. Created concise, presentation-ready summaries connecting evidence, interpretation, and recommendations in an easy-to-follow narrative.. Structured analytical observations into clear presentation materials that supported consistent review and stakeholder understanding.. Worked independently on defined analytical tasks while managing priorities and delivering work within established requirements.
Data Analyst Consultant
Conducted comprehensive business and data analysis using SQL, Python, Tableau, and Excel to identify patterns, trends, performance gaps, and actionable business opportunities.. Used advanced Excel, pivot tables, data models, and scenario analysis to evaluate a supermarket’s proposed location change and support a recommendation to relocate to an upscale, high-potential area.. Compared business performance indicators and commercial factors to assess location alternatives, identify potential risks, and support a strategic relocation decision.. Applied VBA and spreadsheet automation techniques to streamline repetitive Excel analysis, improve workflow efficiency, and support consistent reporting.. Analyzed business performance and commercial factors to help the supermarket upscale its operations and improve its profit margin by 90%.. Developed interactive dashboards that improved data accessibility and contributed to a 90% reduction in decision-making time.. Translated complex analytical findings into clear visualizations and insights for non-technical stakeholders, contributing to a 90% increase in data-driven decision-making.. Performed rigorous data cleaning and preprocessing, reducing data errors by 90% and improving overall data quality.. Implemented data-validation procedures that reduced data-entry errors by 90% and strengthened data integrity.. Analyzed datasets to identify business trends, performance gaps, operational issues, and opportunities for improvement.. Developed PowerPoint presentations that transformed analytical results into compelling business storylines, clearly explaining the situation, key findings, implications, and recommended actions.. Used charts, tables, and concise visual summaries in PowerPoint to communicate business performance, analytical conclusions, and strategic recommendations.. Presented data-driven recommendations in a structured and understandable format, helping stakeholders connect analysis with commercial and operational decisions.. Collaborated with stakeholders to interpret analytical findings, refine recommendations, validate assumptions, and support informed business decisions.. Used structured analytical approaches to transform raw data into meaningful business recommendations and practical next steps.
Data Analyst
Applied statistical techniques, including regression analysis and hypothesis testing, to identify relationships and patterns and improve forecasting accuracy by 90%.. Used Excel pivot tables and structured data models to summarize operational performance, compare trends, analyze variances, and support forecasting and inventory-planning decisions.. Built Excel-based analytical summaries that organized operational data and made performance trends easier to interpret.. Identified key trends, anomalies, and operational inefficiencies, contributing to a 90% reduction in operational inefficiencies.. Designed and evaluated A/B tests for product-feature enhancements, contributing to a 90% increase in user engagement.. Interpreted A/B testing results and statistical significance to develop actionable optimization recommendations.. Developed predictive machine-learning models for customer churn, contributing to a 90% reduction in churn and improved customer retention.. Implemented time-series forecasting models that supported inventory planning and contributed to a 90% reduction in excess stock.. Translated analytical results into insights that supported operational and business decision-making.. Used Microsoft PowerPoint to present statistical findings, forecasts, operational trends, and optimization recommendations through clear, audience-focused storylines.. Structured presentations to explain analytical context, methodology, key insights, business impact, and recommended next steps for technical and non-technical stakeholders.. Communicated complex statistical and predictive-analysis results using concise visuals, logical sequencing, and clear business language.. Converted Excel-based analysis and statistical outputs into presentation-ready materials that supported stakeholder discussions and decision-making.