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?Data Analyst/ Business AnalystCandidate's Name
EMAIL AVAILABLELINKEDIN LINK AVAILABLEhttps://Candidate's Name Street Address .wixsite.com/codydatalabMidland, Pennsylvania Street Address
Skills1. SQL (SQL Server, MySQL,)2. Python (Pandas, NumPy, Seaborn, MatPlotLib)3. Excel (VLookup, Conditional Formatting, Pivot Tables)ProjectsData Science Job market Eda ? Personal Project ? Midland, PA April 20201. Utilized Python to analyze large data sets and make basic visual graphs2. Used Pandas, Matplotlib, and Seaborn to analyze large data sets in PyCharm3. Aggregated and visualized the data by using pandas, matplotlib to visualize the dataBenefit Package Benchmarking dashboard ? Virtual Client?s Project ?Midland, PA February 20204. Created an interactive dashboard with Excel to show coffee sales data5. Provided technical insights on how the client can fully utilize their data by introducing different technologies6. Consulted with client to determine the best metrics to be displayed on final productVisual graphs on real world data ? Personal Project ?Midland, PA December 20197. Utilized Excel to create pivot tables, graphs, and visualize datasets8. Performed data cleaning and text analysis to successfully identified the major complaints for each airline9. Applied regression and machine learning to produce a final model with an accuracy of 88% and lift of 34%Customer Sales Analysis ? Personal Project ?Midland, PA November 201910. Utilized SQL to extract data from 8 different related tables from customer sales databases using JOIN and VIEW11. Transformed and filtered data by using aggregating and filtering function to improve reporting process12. Loaded and visualized data with Python to identify key business intelligences that can improve sales performanceSummary 2018 - October 2018I?m a Junior Data Scientist and Engineer passionate about transforming data into actionable insights. Proficient in Python, SQL, Excel and data analysis. Eager to learn, innovate, and contribute effectively to data-driven projects. Adept at collaborating with cross-functional teams and communicating complex technical concepts in a clear manner. Committed to continuous learning and staying updated with the latest trends in data science and engineering. Excited to contribute fresh ideas and drive meaningful impact in a dynamic and challenging environment!