Results-driven Data Analyst with expertise in Python and SQL, previously at Google INC. Successfully designed machine learning models that improved customer retention by 20%. Adept at data visualization using Tableau, fostering collaboration across teams to drive strategic initiatives. Strong communicator, influencing decisions through actionable insights and enhancing operational efficiency.
Overview
12
12
years of professional experience
1
1
Certification
Work History
Data Analyst
Metrics-LLC
09.2024 - 03.2025
Company Overview: Department of Veteran Affairs
Collaborated with various departments to review and assess documents & identifying areas for improvement to promote fairness and equity in recruitment.
Managed the documentation and reporting of compliance metrics related to equal employment opportunity initiatives, ensuring accurate and timely submissions.
Acted as a liaison between employees and management to address concerns related to discrimination and workplace equity, fostering a supportive environment.
Prepared and submitted monthly settlement reports, summarizing compliance activities and outcomes related to equal employment opportunities within the government office.
Generated and analyzed G reports on a weekly basis, providing insights on progress towards meeting policy compliance goals and identifying areas for improvement.
Maintained accurate records of compliance data and reporting metrics to support decision-making and strategic planning initiatives within the organization.
Department of Veteran Affairs
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
Business Data Analyst
Google INC
01.2017 - 01.2024
Utilized SQL, Python, and R to extract, clean, and analyze large datasets from various sources, including Google Analytics and internal databases.
Designed and implemented machine learning models to predict customer churn, achieving an 85% accuracy rate.
Developed interactive dashboards and reports using Tableau to visualize key findings and track project progress.
Collaborated with the marketing team to design targeted retention campaigns based on insights, resulting in a 20% reduction in churn rate.
Automated data collection and reporting processes, reducing manual effort by 40% and increasing data accuracy.
Presented findings and recommendations to senior management, influencing strategic decisions and securing additional funding for the project.
Conducted comprehensive data analysis to support various business decision-making processes, resulting in a 15% increase in operational efficiency.
Collaborated with multiple teams to gather requirements and deliver actionable insights, driving several high-impact strategic initiatives.
Built relationships and influenced and motivated employees to drive operational improvements.
Standardized data collection procedures across departments, ensuring consistent data quality and enabling seamless integration of new datasets.
Streamlined reporting processes for enhanced decision-making and business insights.
Developed and improved integrated reporting and analysis capabilities.
Provided evaluative judgment based on analysis of information in complicated and unique situations and contributed to formulation of standards and strategies for functional areas.
Conducted cost-benefit analyses on proposed projects or investments, informing resource allocation decisions at the organizational level.
Implemented machine learning algorithms to predict customer behavior, resulting in improved marketing strategies.
Reduced report generation time significantly by optimizing SQL queries and restructuring existing databases.
Enhanced database performance with optimization techniques, reducing query times and improving overall efficiency.
Automated repetitive tasks through scripting, freeing up time for more complex analysis projects.
Developed custom data models to improve forecasting and drive strategic initiatives.
Collaborated with cross-functional teams to identify key metrics and develop relevant dashboards for tracking business performance.
Trained junior analysts on best practices for data management and analysis, fostering a culture of continuous improvement within the team.
Mathematics Teacher
Bishoftu Secondary High School
09.2013 - 01.2017
Developed and implemented engaging lesson plans, Created a positive and supportive learning environment.
Delivered clear and effective instruction, assessed student learning (This includes using a variety of assessments (tests, quizzes, projects, homework) to measure student progress and identify areas for improvement).
Collaborated with colleagues to share best practices, developing common assessments, and working together to support student success.
Communicated with parents/guardians to keep parents/guardians informed about student progress, sharing information about assignments and assessments, and responding to their questions and concerns.
Participated in professional development to stay up-to-date on the latest research and best practices in mathematics education, attending conferences and workshops, and seeking out mentors and professional learning communities.
Provided meaningful math instruction to improve math skills of children.
Federal Contract Closeout Specialist at U.S. Department of Veterans Affairs (via Metrics, LLC)Federal Contract Closeout Specialist at U.S. Department of Veterans Affairs (via Metrics, LLC)