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Title Business Analyst Data Analytics
Target Location US-TX-Dallas
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Candidate's Name  EMAIL AVAILABLE1204 Hidden Ridge, Irving, TX 75038. PHONE NUMBER AVAILABLE LINKEDIN LINK AVAILABLE SummaryA highly skilled Data and Business Analyst with hands-on experience in data cleaning, predictive modeling, and data visualization. Adept at creating interactive dashboards, conducting market analysis, and supporting strategic decision-making. Holds a Masters degree in Mathematics and Statistics, focusing on Advanced Data Analytics, and a strong academic record (3.9 GPA). Proficient in Python, SQL, Tableau, and various analytical tools. EDUCATIONUniversity Of North Texas August 2022 - May 2024Master of Mathematics and Statistics: Advanced Data Analytics Denton, TXHonors: 3.9 GPALicense and CertificationsPython for Data Science (Coursera)Tableau Desktop Specialist (Tableau)SQL for Data Analysis (DataCamp)Lean Six Sigma Green Belt (IASSC)PROFESSIONAL EXPERIENCEData Analyst Intern May 2023  Dec 2023Denton, TXConducted data cleaning and preprocessing using Python and SQL, contributing to improved data accuracy and qualityAssisted in developing predictive models and data visualizations, supporting marketing strategies and decision-making processes.Collaborated with cross-functional teams to analyze customer behavior data, leading to actionable insights and recommendations for business growth.Business Analyst Intern December 2023 May 2024Denton, TXCreated interactive dashboards and reports in Tableau, providing key metrics and insights for executive decision-making.Conducted market trend analysis and competitor benchmarking, contributing to strategic planning initiativesAssisted in data mining and statistical analysis, identifying opportunities for process optimization and cost reduction. PROJECT EXPERIENCEHouse Price Analysis and Airbnb Data AnalysisHandeled the missing values, and outliers and also cleaned, and prepared the dataAnalyzed large datasets to identify key trends and insights.Converted categorical variables into numerical formatPerformed descriptive statistics to understand the distribution of dataUsed Python and SQLDeveloped interactive dashboards using Power BI and Tableau for data visualization.Created Visualizations to identify patterns and relationshipsUse ANOVA and Regression analysis to interpret the resultsUsed Python ProgrammingSKILLS & ACTIVITIESTechnical Skills: Data Analysis, Financial Modeling, Mechanical Engineering, Stress Analysis, FEA, CAD.Software Proficiency: SQL, Python, R, Microsoft Excel, Power BI, Tableau.Analytical Skills: Data Manipulation, Trend Identification, Statistical Analysis.Soft Skills: Excellent Communication, Attention to Detail, Problem-Solving, Team Collaboration, Adaptability.

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