Data Analyst Power Bi

Anilkumar Reddy Eddala Narayana

Data Analyst

Location: Denton, TX E-Mail: ******************@*****.*** Phone: +1-940-***-**** LinkedIn SUMMARY

Data Analyst with around 4 years of experience delivering actionable insights and driving data-informed business decisions. Expertise in leveraging Python, R, SAS, SQL, and PL/SQL to perform advanced statistical analysis, predictive modeling, and large-scale data processing. Proficient in utilizing NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, and ggplot2 for exploratory data analysis, machine learning, and visualization. Adept at designing and deploying interactive dashboards and reports using Tableau, Power BI, and Advanced Excel, providing real-time visibility into KPIs and improving business intelligence outcomes. Experienced in managing and optimizing ETL pipelines with SSIS, SSRS, SSAS, and Informatica, ensuring seamless integration and transformation of complex datasets across multiple platforms. Strong background in cloud ecosystems including AWS, GCP, and Azure, enabling scalable analytics workflows and efficient data warehousing solutions. Ability to work with relational databases such as MySQL, PostgreSQL, SQL Server, and Oracle, enhancing query performance and data accessibility.

SKILLS & CERTIFICATIONS

Programming Languages: Python, R, SAS, SQL, PL/SQL Libraries: NumPy, Pandas, SciPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow Databases: MySQL, PostgreSQL, SQL Server, Oracle, MongoDB Visualization Tools: Tableau, Power BI, Advance Excel ETL Tools: SSIS, SSRS, SSAS, Informatica

Cloud Technologies: AWS (EC2, S3, Lambda and RDS), GCP, Azure Methodologies: SDLC, Agile, Waterfall

Analytical Skills: Data Cleaning, Data Wrangling, Critical Thinking, Communication, Presentation Skills, Problem-Solving, Data Analytics, Decision-making, Data Mining, Data Architecture, Data Management, Data Manipulation, Data Warehousing Certifications: Microsoft Certified: Power BI Data Analyst Associate, SQL (Intermediate) Certificate- Hackerrank EDUCATION

Master's in Data Science University of North Texas, Denton, Texas May 2025 Bachelor's of Technology in Electronics and Communication Engineering Vignan’s University, AP, India May 2020 EXPERIENCE

Freddie Mac, USA Data Analyst Aug 2024 - Present

• Analyzed multi-source datasets exceeding 10M+ records using SQL and Python, identifying key patterns and trends that improved business forecasting accuracy by 30%.

• Industrialized and deployed interactive Tableau dashboards that delivered real-time insights into critical KPIs, streamlining executive decision-making and accelerating reporting cycles by 45%.

• Designed and automated end-to-end data pipelines using Azure services (Data Factory, Databricks, SQL Database), reducing manual intervention and cutting processing times by 40%.

• Built and deployed SSRS reports and interactive dashboards, enabling stakeholders to track KPIs, financial metrics, and operational trends, cutting reporting cycles by 30%.

• Applied advanced statistical methods and machine learning models for customer segmentation and behavioral analysis, resulting in a 22% uplift in marketing campaign ROI.

• Instigated standardized data governance frameworks and automated quality controls, ensuring 98% accuracy and consistency across analytics and reporting deliverables.

• Partnered with cross-functional teams including product, finance, and operations to define performance metrics, modernize reporting processes, and drive 25% improvement in operational efficiency. Cognizant, Chennai, India Data Analyst (Client: 3M Saint Paul, MN) Nov 2020 - Jul 2023

• Leveraged SAS and PL/SQL to analyze and transform large-scale datasets, uncovering key insights that improved forecasting accuracy and informed strategic business decisions by 25%.

• Designed and optimized data models and architectures in Oracle, enhancing query efficiency and reducing reporting latency by 40% across enterprise analytics platforms.

• Developed and deployed interactive Power BI dashboards and automated reports, enabling business leaders to monitor KPIs in real time and accelerating executive reporting cycles by 30%.

• Established OLAP cubes in SSAS, providing multi-dimensional analysis and drill-down capabilities, which improved executive decision-making and enhanced forecasting accuracy by 20%.

• Applied data mining techniques and advanced statistical methods to identify customer behavior patterns and market trends, contributing to a 20% increase in campaign ROI.

• Constructed and maintained ETL workflows with Informatica, standardizing data integration pipelines and ensuring 99% data accuracy and consistency across multiple business units.

• Created insightful data visualizations using Matplotlib and Seaborn, simplifying complex datasets for both technical and non-technical stakeholders.

• Partnered with cross-functional teams and clients to establish data governance and management frameworks, ensuring compliance, reducing discrepancies, and improving overall data reliability.

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