R, SQL
Zemen Ghelaw
PhD Candidate in AI
Silver Spring,MD
Summary
Accomplished Data Analyst with a proven track record at Green Gold Red United Corporation, enhancing product quality and reducing development time through expert application of R programming. Skilled in data visualization and statistical analysis, excel in transforming complex data into actionable insights, driving decision-making and resource optimization. Demonstrates strong analytical problem-solving and effective communication, ensuring data-driven success.
Overview
9
9
years of professional experience
Work History
Senior Data Science Fellow
National Security Leaders for America
03.2025 - Current
- Utilized data visualization tools to effectively communicate business insights.
- Improved decision-making processes with accurate data analysis and visualization techniques.
- Used statistical methods to analyze data and generate useful business reports.
- Managed large-scale databases to ensure timely access to critical information for key stakeholders.
- Optimized company resources allocation with detailed forecasting models based on historical data analysis.
- Reduced operating costs by automating manual data processes using scripting languages such as Python or R.
- Synthesized complex analytics-derived insights into easy-to-understand, actionable recommendations for business users.
- Implemented code solutions to answer analytic questions and test and assess new methods.
- Resolved complex business challenges by leveraging statistical modeling techniques and machine learning algorithms.
- Developed customized reports, summarizing and presenting data in visually appealing format.
- Analyzed data to identify root causes of problems and recommend corrective actions.
- Created data models to support decision-making processes.
- Created dashboards to monitor and track key performance indicators.
- Updated and developed scripts and queries to extract and analyze data from multiple sources.
- Utilized data visualization techniques to present and explain complex data sets.
- Designed and developed data pipelines to acquire, clean and process data.
- Deployed predictive analytics models to forecast future trends.
- Developed predictive models using Python and R to analyze complex datasets.
- Collaborated with cross-functional teams to identify data-driven solutions for business challenges.
- Implemented machine learning algorithms to enhance data accuracy and decision-making processes.
- Led workshops on data visualization techniques utilizing Tableau and Power BI for stakeholder presentations.
- Mentored junior analysts in statistical analysis and best practices in data manipulation.
- Designed automated reporting dashboards improving efficiency in data retrieval and interpretation.
- Conducted exploratory data analysis to uncover trends, patterns, and insights for strategic planning.
- Presented findings to senior management, driving initiatives based on actionable intelligence derived from analysis.
- Presented findings from complex analyses to non-technical stakeholders through clear visualizations and concise summaries, driving informed decision-making processes across departments.
- Optimized data processing performance by developing and implementing efficient algorithms.
- Led efforts to establish a robust data governance framework that improved overall data quality and consistency throughout the organization.
- Implemented natural language processing techniques for sentiment analysis, improving customer experience management strategies.
- Collaborated with cross-functional teams to identify key business problems and develop data-driven solutions.
- Conducted thorough exploratory data analyses, identifying hidden patterns that led to new business opportunities.
Data Scientist | Independent Researcher – AI/ML
Self Employed
07.2016 - 08.2024
- Analyzed existing SQL queries to identify opportunities for improvements.
- Developed efficient stored procedures for complex business logic, reducing processing time and improving system stability.
- Developed predictive models to enhance data-driven decision-making processes.
- Collaborated with cross-functional teams to identify and analyze key business insights.
- Implemented machine learning algorithms to optimize operational efficiency.
- Mentored junior data scientists in advanced statistical techniques and best practices.
- Presented analytical findings to stakeholders, influencing strategic direction and initiatives.
- Streamlined data collection processes, improving accuracy and reducing redundancy.
- Leveraged big data technologies for real-time analytics and reporting solutions.
- Led projects focused on integrating AI solutions to drive business transformation efforts.
- Streamlined data collection methods to minimize analysis errors.
- Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
- Evaluated emerging technologies to assess potential applications within the organization''s existing infrastructure or future projects.
- Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
- Conducted thorough exploratory data analyses for robust model building.
- Participated actively in interdisciplinary teams'' work integrating domain knowledge from marketing, sales or finance departments into the analytical process.
- Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
- Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
- Applied statistical and algebraic techniques to interpret key points from gathered data.
- Discovered stories told by data to present information to scientists and business managers.
- Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to the organization''s strategic goals.
- Coached and mentored junior data scientists on SAS and data mining techniques.
- Created and implemented new forecasting models to increase company productivity.
- Set up SQL database on cloud servers to store client data for query analysis.
- Built company A/B testing frameworks to test model quality.
- Ensured compliance with industry regulations and data privacy standards, mitigating risks associated with sensitive information handling.
- Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling.
- Worked with stakeholders to develop quarterly roadmaps based on impact, effort and test coordinations.
- Identified, measured and recommended improvement strategies for KPIs across business areas.
- Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times.
- Spearheaded development of new recommendation system that significantly improved user engagement.
- Developed custom data pipelines for streamlined data ingestion and processing, improving workflow efficiency.
Education
Master of Science - Data Science
American University
Washington, DC01.2026
Master Of Accounting And Finance - Accounting And Finance
Devry University of Keller Graduate School of Mana
Decatur08.2011
Bachelor Of Science - Business Forensics
Franklin University
Columbus, OH06.2010
Ph.D. - Artificial Intelligence
Capitol Technology University
Maryland 08.2025 - Current
Skills
- Data Visualization and Presentations
- Data Analysis
- Data Cleaning
- Statistical Analysis
- R Programming
- Data Modeling
- Data Mining
- Reporting Tools
- Data Exports
- Business Needs Analysis
- Data formatting
- Web Scraping
Affiliations
- American Statistics Association
Work Preference
Work Type
InternshipContract WorkLocation Preference
RemoteOn-SiteImportant To Me
Work from home optionFlexible work hoursCareer advancementSoftware
Languages
English
Bilingual or Proficient (C2)
amharic
Bilingual or Proficient (C2)
Timeline
Ph.D. - Artificial Intelligence
Capitol Technology University
08.2025 - Current
Senior Data Science Fellow
National Security Leaders for America
03.2025 - Current
Data Scientist | Independent Researcher – AI/ML
Self Employed
07.2016 - 08.2024
Master of Science - Data Science
American University
Master Of Accounting And Finance - Accounting And Finance
Devry University of Keller Graduate School of Mana
Bachelor Of Science - Business Forensics
Franklin University