Data Analyst Power Bi

Sai Jayasurya Kandregula

******************@*****.*** +1-659-***-**** Birmingham, AL LinkedIn

SUMMARY

Data Analyst with over 2 years of experience in data analytics, reporting, and data visualization. Proven ability to develop data-driven solutions, build and maintain dashboards, and provide actionable insights through the use of SQL, Power BI, and Excel. Strong background in data collection, analysis, and collaborating with stakeholders to meet project goals.

EXPERIENCE

University of Alabama at Birmingham Birmingham, AL Data Analyst • Internship November 2023 – April 2024

● Streamlined Power BI data integration for multi-sport disciplines, boosting athlete performance by 15%, which contributed to a 30% overall improvement in team outcomes.

● Led the end-to-end data analytics process, from data collection to analysis and reporting, utilizing Power BI and SQL to drive actionable insights and improve performance metrics by 15%, contributing to a 30% overall team improvement.

● Engineered and executed complex Power BI visualizations to assess UAB Women's Soccer team performance metrics, delivering strategic insights that revolutionized gameplay strategies and culminated in a 10% enhancement in victories.

● Developed and optimized advanced data visualizations and dashboards in Power BI, effectively communicating critical insights and supporting strategic decision-making, leading to a 10% increase in team victories.

Tata Consultancy Services Limited Hyderabad, INDIA Data Analyst • Full-time August 2021 – November 2022

● Developed and maintained Power BI dashboards, utilizing SQL and DAX to support real-time data analytics for 25,000 monthly transactions.

● Led quality assurance processes for Power BI reports, troubleshooting and resolving issues, ensuring 100% data accuracy.

● Managed and optimized data integration processes using Azure technologies, enhancing operational efficiency by 40%.

● Automated the generation of monthly sales reports using Power BI, reducing report preparation time by 50% and enabling faster decision-making for business stakeholders. Data Analyst • Trainee April 2021 – July 2021

● Assisted in developing and optimizing SQL queries to support data extraction and reporting tasks, contributing to the creation of accurate and insightful Power BI dashboards."

● Collaborated with senior analysts to perform data validation and quality assurance, ensuring the integrity of datasets used for client-facing reports and presentations. PROJECTS

Enhanced Handwritten Digit Recognition August 2023 - December 2023

● Led a data mining project to enhance a 2019 handwritten digit recognition study, integrating CNN for feature extraction and classifier ensemble, achieving 99% accuracy with ensemble techniques.

● Boosted digit classification to industry standards using KNN, Random Forest, and Decision Trees in an ensemble framework.

● Developed and executed advanced ensemble learning strategies, including multi-level fusion, and voting classifiers, on the MNIST dataset, achieving 95% accuracy using Python, CNN, and AWS technologies. Investment Portfolio Optimization May 2023 – August 2023

● Developed an SVM and HOG-based facial recognition system for real-time drowsiness detection, enhancing road safety by monitoring eye and mouth aspect ratios, achieving a sensitivity of 95.28%.

● Enhanced drowsiness detection algorithms in Python, achieving a 100% alert response rate for driver-focused application safety.

Driver’s Drowsiness Detection System January 2021 – April 2021

● Developed an SVM and HOG-based facial recognition system for real-time drowsiness detection, enhancing road safety by monitoring eye and mouth aspect ratios, achieving a sensitivity of 95.28%.

● Enhanced drowsiness detection algorithms in Python, achieving a 100% alert response rate for driver-focused application safety.

EDUCATION

University of Alabama at Birmingham January 2023 - April 2024 Master of Science in Data Science Birmingham, AL

Cumulative GPA: 3.7/4.0

JNTU Hyderabad Sreyas Institute of Engineering and Technology August 2017 - July 2021 Bachelor of Technology in Computer Science and Engineering Hyderabad, INDIA Cumulative GPA: 7.17/10

Relevant Coursework: Data Mining, Machine Learning, Cloud Computing, Advanced Algorithms, Deep Learning, Database Application Development, Quantitative Analysis for Managers, Numerical Linear Algebra, Cyber Risk Management.

CERTIFICATIONS

● Microsoft Certified: Azure Data Analyst Associate (PL-300)

● Published a research paper on “Driver Drowsiness Detection Based on Facial Multi-feature Fusion SKILLS & OTHER

● Data Analysis and Visualization: Power BI, SQL, DAX, Excel, Tableau.

● Programming Languages: Python, R, Java.

● Database Management: MySQL, Microsoft SQL Server.

● Tools and Technologies: Azure Data Factory, Azure Synapse Analytics, AWS (Kinesis, Lambda, S3)

● DevOps: Git, GitHub, Docker, CI/CD.

● Problem-solving & Troubleshooting: Data Quality Assurance, Report Automation, Issue Resolution in Power BI.

● Data Modelling and Integration: ETL processes, data validation, data pipeline optimization.

● Soft Skills: Effective communication, collaboration with cross-functional teams, attention to detail.

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