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Data Analyst Power Bi Resume Allen, TX
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Title Data Analyst Power Bi
Target Location US-TX-Allen
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Data AnalystPHONE NUMBER AVAILABLE EMAIL AVAILABLE Irving, TX LinkedIn SUMMARY Data Analyst with 3 years of experience in leveraging statistical analysis and data visualization tools to drive business insights and decisions. Proficient in utilizing Python, R, and SQL for data manipulation and analysis, alongside expertise in data visualization tools such as Tableau and Power BI. Adept at translating complex datasets into actionable insights, leading to improved operational efficiency and strategic planning. Increased reporting accuracy by 25% through the development of automated data processing workflows. Strong team collaborator with excellent communication skills, capable of presenting findings to both technical and non- technical stakeholders.SKILLSMethodologies SDLC, Agile, WaterfallProgramming Language Python, R, SQL, SASIDEs Visual Studio Code, PyCharm, Juypter Notebook Packages NumPy, Pandas, Matplotlib, SciPy, ggplot2, Scipy, Sckit-learn Visualization Tools Tableau, Power BI, Microsoft Excel Cloud Technologies AWS, Azure, GCP, Data BricksDatabase MySQL, SQL Server, PostgreSQL, NoSQLVersion Control Tools Git, GitHub, GitLabOther Skills Data Cleaning, Wrangling, Critical Thinking, Communication, Presentation Skills, Problem- Solving.Operating System Windows, Linux, MacEDUCATIONMaster of Science in Information Studies Trine University, Angola, IN Mar 2024 Bachelor of Technology in Computer Science Godavari Institute of Engineering and Technology, AP, India Jul 2021 EXPERIENCEData AnalystFreddie Mac, USA Sep 2023  Current Managed data architecture and governance practices, ensuring compliance with regulatory requirements and best practices in data management across AWS and GCP cloud platforms. Conducted comprehensive data analysis using Python, R, and SQL to identify trends and insights that supported strategic financial decisions. Developed and maintained automated data processing workflows, increasing reporting accuracy by 25%. Utilized Tableau and Power BI to create interactive dashboards and visualizations, enhancing data comprehension and decision-making for stakeholders. Provided actionable insights from complex datasets, leading to improved operational efficiency and optimized financial performance. Communicated findings effectively to both technical and non-technical stakeholders, facilitating business decisions. Configured and optimized Linux servers for hosting database systems, including MySQL, PostgreSQL, and NoSQL databases, ensuring high availability and performance of critical data infrastructure. Collaborated with cross-functional teams to gather data requirements, ensuring the accurate and timely delivery of financial reports.Data AnalystSeaGate, India Jun 2021  Jul 2022 Analyzed large datasets using Python, R, and SQL to uncover insights that drove product development and optimization. Engineered automated data pipelines, enhancing data accuracy and reducing processing time by 30%. Designed and implemented interactive dashboards in Tableau and Power BI, enabling real-time monitoring of key performance indicators (KPIs). Applied statistical modeling, predictive analytics, and machine learning techniques to improve software performance and user engagement. Demonstrated strong critical thinking, communication, and presentation skills to translate complex data findings into actionable business strategies.Data AnalystParallax Pros, India Jan 2020  May 2021 Employed Waterfall methodology for structured project management, defining clear project scopes and deliverables, resulting in timely and successful project completions. Partnered with software development teams to define data requirements and ensure seamless integration of analytics into product features. Synthesized complex data into clear, actionable reports that informed strategic decisions and project roadmaps. Articulated data-driven insights to diverse stakeholders, facilitating informed decision-making and fostering a data-centric culture. Implemented data visualizations using Power BI and Matplotlib to communicate complex findings effectively to technical and non-technical stakeholders, enhancing decision-making processes. Employed version control tools such as Git and GitHub for efficient code management and collaboration within project teams, ensuring code integrity and version traceability.

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