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Title Machine Learning Data Analyst
Target Location US-TX-Coppell
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Candidate's Name
Arlington, Texas PHONE NUMBER AVAILABLE EMAIL AVAILABLE LinkedInExperienceDATA ANALYST KPAK AUGUST 2023 - PRESENTLed extensive data extraction, transformation, and loading (ETL) processes using advanced SQL queries and Python scripts.Enhanced data warehouse performance, ensuring efficient data storage and retrieval for analysis.Collaborated on developing and fine-tuning machine learning models for predictive analytics, significantly improving accuracy in forecasting trends.Automated routine data analysis tasks using Python, resulting in a 30% increase in process efficiency.Conducted deep dive analyses on large datasets, uncovering insights that led to a 15% reduction in operational costs.Spearheaded the integration of new data sources into the existing database system, enhancing the breadth and depth of analytics capabilities.IT HELP DESK ANALYST OFFICE OF INFORMATION TECHNOLOGY, UTA JAN 2022  MAY 2023Resolved an average of 20+ technical issues per day, ranging from software troubleshooting to hardware configuration, ensuring minimal downtime.Developed and maintained documentation for IT procedures, contributing to a 25% improvement in issue resolution time.Implemented a ticketing system for efficient tracking and resolution of IT issues, leading to a 20% increase in user satisfaction.EducationMASTERS IN COMPUTER SCIENCE MAY 2023 UNIVERSITY OF TEXAS AT ARLINGTONRelevant Coursework: Machine Learning, Data Analysis and Modeling Techniques, Data Mining, Database Systems, Python Programming, Cloud ComputingSkills & AbilitiesData Analysis Tools: Python, SQL, R, Excel, Power BI, TableauProgramming: Java, PythonMachine Learning & AI: Regression, Classification, Clustering, NLPDatabase Management: SQL, NoSQL, Data WarehousingData Visualization: Power BI, Tableau, Matplotlib, SeabornBig Data Technologies: Hadoop, SparkStatistical Analysis: Descriptive and Inferential StatisticsData Preprocessing: Cleaning, Transformation, Feature EngineeringProject Management: Agile methodologies, JIRASoft Skills: Strong communication, critical thinking, problem-solving, multitasking, team collaboration, detailed-oriented.

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