Data Analyst Power Bi

ELEONARA TEKE

Data Analyst, Power BI & Tableau Developer

Fort Washington MD Mobile: 346-***-**** Email

Professional Summary

Experienced data analytics with over 5 years of experience, I have a proven track record of leveraging data-driven insights to drive strategic decision-making and enhance business performance. Proficient in data collection, analysis, and visualization techniques, utilizing advanced tools and technologies to extract actionable intelligence from complex datasets. Skilled in developing and implementing innovative analytics solutions to solve business challenges and optimize processes. Strong communicator and collaborator, adept at translating technical findings into actionable recommendations for stakeholders at all levels. Passionate about harnessing the power of data to drive organizational success and foster a culture of continuous improvement.

Technical Skills

●Programming: Python, R, SQL, SAS

●Data Analysis Libraries: pandas, numpy, scikit-learn, ggplot2

●Data Visualization: Tableau, Power BI

●Databases: MS SQL Server, MySQL, Oracle, DB2

●Cloud Services: AWS, Azure

●Statistical Techniques: PCA, K-Means, Linear Regression, Decision Tree, Naïve Bayes

●Data Cleaning and Exploration: Data screening, Data Extraction, Data Visualization

●Tools: Git, Databricks, SharePoint 365, Excel VBA

●Operating Systems: Windows, Unix, Linux

●Machine Learning: Regression, Random Forest

●Business Intelligence: ETL, TSQL

EDUCATION

Bachelor’s degree in computer science

PROFESSIONAL EXPERIENCE

Dunamis InfoTech, Beltsville, MD Oct. 2021-- Present

Data Analyst /Power BI and Tableau Developer

Responsibilities:

●Proficient in SQL for data extraction, transformation, and querying within healthcare databases, enabling efficient retrieval and manipulation of patient records, clinical data, and administrative information.

●Develop interactive dashboards and compelling visualizations using Power BI and Tableau to communicate actionable insights derived from healthcare data to diverse stakeholders, facilitating data-driven decision-making and strategic planning.

●Leverage Python for data cleaning, statistical analysis, and machine learning in healthcare analytics projects, including predictive modeling for patient outcomes, disease diagnosis, and treatment optimization.

●Apply advanced SQL techniques to optimize data retrieval and aggregation processes, ensuring scalability and performance in handling large volumes of healthcare data for analytical purposes.

●Utilize Power BI and Tableau to create dynamic reports and dashboards that enable stakeholders to interact with and explore healthcare data intuitively, fostering a deeper understanding of key metrics and trends.

●Integrate Python scripts with Power BI and Tableau to enhance visualization capabilities and incorporate custom analytical functionalities, expanding the scope and depth of insights presented to healthcare decision-makers

●Daily interaction with stakeholders to understand problems and expected deliverables over the sprint.

●Deployed Tableau Dashboards and worksheets in clustered environment.

●Wrote complex SQL queries using advanced SQL concepts like Aggregate functions, Join functions, concatenation in my data cleaning effort.

JJTECH INC, BOWIE, MD Nov. 2019 – Sept 2021

Data Analyst

Responsibilities:

●Used Tableau calculated fields and parameters to create dynamic visualizations that respond to user inputs.

●Developed complex SQL queries involving multiple joins, subqueries, and aggregations to extract insights from relational databases.

●Employed pandas library in Python for data manipulation, cleaning, and analysis tasks.

●Applied advanced Excel functions (e.g., VLOOKUP, INDEX-MATCH, PivotTables) to analyze and summarize large datasets.

●Designed interactive reports and dashboards in Power BI using various visualizations and slicers.

●Implemented Tableau actions such as filters, highlighting, and URL actions to enhance interactivity within dashboards.

●Wrote SQL scripts for data extraction, transformation, and loading (ETL) processes.

●Created macros in Excel (using VBA) to automate repetitive tasks and enhance productivity.

●Integrated multiple data sources within Power BI to create unified data models.

●Collaborated with stakeholders to gather requirements and iteratively refine Tableau dashboards to meet evolving business needs.

●Used pandas library in Python for data manipulation, cleaning, and analysis tasks.

●Implemented performance tuning techniques such as indexing and query optimization to improve SQL query efficiency.

●Leveraged matplotlib and seaborn libraries to create advanced visualizations from data processed in Python.

●Designed Excel templates for automated reporting and data visualization.

●Developed Python scripts to automate data extraction, transformation, and loading processes.

●Implemented DAX (Data Analysis Expressions) for creating calculated columns and measures in Power BI.

●Utilized Excel's What-If Analysis tools (e.g., Scenario Manager, Goal Seek) for forecasting and decision-making.

●Leveraged Tableau Prep for data preparation and cleaning workflows before visualization.

●Created and maintained database objects like tables, views, indexes, and stored procedures.

●Published and shared Power BI reports on Power BI Service for collaborative decision-making.

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