Data Analyst Senior

BIRUK MENGESHA

Senior Data Analyst Power BI

215-***-**** ***********@*****.*** www.linkedin.com/in/biruk-mengesha Silver Spring, Maryland

Professional Summary

Experienced Senior Data Analyst with six years of expertise in leading end-to-end data processing and visualization projects, transforming raw data into actionable insights. Proficient in Power BI, SQL, and Python, driving business decisions across cross-functional teams. In the past two years as a Data Scientist, developed and deployed data-driven solutions using A/B testing, regression analysis, and machine learning to optimize performance. Led hypothesis testing and predictive modeling, uncovering insights that drove strategic decisions and demonstrated strong leadership in delivering impactful results.

Core Competencies

Professional Skills: Data Visualization Data Analysis Statistical Analysis Machine Learning Data Processing Business Intelligence Leadership Data Migration Data Collection & Reporting Decision-Making classification regression clustering predictive modeling.

Technical Skills: Python SQL Power BI Tableau Matplotlib Seaborn A/B Testing Hypothesis Testing Excel Jupyter Notebooks Data Modeling Git GitHub AWS Azure Mixpanel GCP SAS, Hadoop HDFS Hive Sqoop Spark PySpark SparkR SparkSQL. Professional Experience

Senior Data Scientist SNAMA Technology Gaithersburg, MD September 2019 - Present

Developed and implemented machine learning models to address key business challenges, focusing on predictive analytics for customer retention and employee attrition. Utilized A/B testing and supervised/unsupervised learning methods to drive data-driven decisions and improve business outcomes.

• Created customer churn prediction models, improving retention strategies.

• Developed employee attrition models to identify high-risk employees likely to leave.

• Designed customer subscription models, providing insights for proactive engagement.

• Applied A/B testing to optimize business decisions and validate predictive models. Senior Data Analyst Tobacco King Gaithersburg, MD May 2018 - August 2019

Led end-to-end data analysis processes focusing on data collection, cleaning, processing, and visualization to drive strategic decision-making. Implemented statistical and hypothesis testing techniques to provide actionable insights. Built and optimized data models using Python, SQL, Power BI, and Tableau, ensuring high-quality results that supported business objectives.

• Utilized SQL and Python for advanced data manipulation and model development.

• Created interactive visualizations and reports with Power BI and Tableau.

• Conducted thorough hypothesis testing and statistical analysis for predictive insights.

• Improved data-driven decision-making by designing tailored reporting solutions. Data Analyst Intern – Power BI Specialist Techno Brain June 2017 – April 2018

Led impactful data visualization and analysis projects using Power BI, transforming complex datasets into user-friendly dashboards and actionable insights. Designed and deployed data-driven applications and models to enhance decision-making, ensuring high- quality deliverables. Collaborated with cross-functional teams to build interactive dashboards and provide real-time business insights, optimizing operations and performance.

• Developed dynamic Power BI dashboards and chatbots for real-time data interaction.

• Created data-driven applications including Model-driven apps, Canvas apps, and Power Portals.

• Integrated Power BI with SQL and other data sources for automated reporting.

• Delivered key insights that supported strategic decision-making and enhanced business outcomes.

Education

Bachelor of Science in Statistics Addis Ababa University Bachelor of Engineering Addis Ababa University

Certifications

Google Advanced Data Analytics Certificate Coursera Microsoft Power Platform Fundamentals Coursera

Microsoft Certified: Power Platform Fundamentals

Projects

Customer Churn Prediction Model

Forecast potential customer churn to enhance retention strategies. Technologies Used: Python, SQL, Machine Learning (Supervised Learning), Power BI. Outcome: Improved customer retention rates by 15% through targeted interventions. Customer Subscription Model

Develop insights for proactive engagement with subscription-based customers. Technologies Used: Python, SQL, A/B Testing.

Outcome: Boosted customer engagement, leading to a 20% increase in subscription renewals.

Customer A/B Testing for Decision Optimization

Optimize business strategies through experimental validation of predictive models. Technologies Used: Python, A/B Testing Frameworks, Power BI. Outcome: Increased decision-making accuracy, improving operational efficiency.

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