Data Analyst Power Bi

VAMSI NAGESH PEMMARAJU

*****.********@*****.*** 256-***-**** LinkedIn: https://www.linkedin.com/in/vamsi-nagesh-pemmaraju SUMMARY

Microsoft Certified Power BI Data Analyst Associate with 6+ years of experience in Data Science & Analysis, leveraging advanced analytics and visualization tools to build impactful models, reports, and dashboards that optimize business performance and drive strategic decisions.

SKILLS AND ACTIVITIES

SKILLS AND ACTIVITIES

• Data Analysis Tools: Power BI, SQL, Python, Tableau, R, SAS, MS Office, Java, Microsoft SQL Server, SSMS.

• Project Management: Sales & Distribution, Production Planning, Machine Learning, Supply Chain Management, SAP.

• Python Libraries: Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, Keras, TensorFlow, PySpark, AWS (basic), OracleDB.

• ETL Tools: SSIS, Sisense, Apache Spark, Hive, Hadoop.

• Soft Skills: Cross-functional collaboration, process re-engineering, data visualization, business strategy. CERTIFICATIONS:

Microsoft

• Microsoft Certified Power BI Data Analyst Associate Dec 2024 – Dec 2025

(Cert No: 1KC14C-E1533E)

Post Graduate Program in Big Data Analytics and Optimization, International School of Engineering (INSOFE) Sep 2018 – Feb 2019

• Coursework: Machine Learning, Deep Learning, Artificial Intelligence, Data Analytics, Probability & Statistics, Operations Research.

• Tools: Python, R, SQL, Tableau, Apache Spark, Hive, Hadoop. EXPERIENCE

KaizenVoiz

Data Analyst Nov 2024 – Present

• Developed a speech recognition engine, boosting accuracy by 20%.

• Decreased false rejection rates from 15% to under 5% by advancing voice authentication solutions.

• Implemented feature extraction techniques (e.g., MFCCs, spectrogram analysis) to refine data inputs.

• Architected deep learning models (RNNs, LSTMs, Transformers) for speech-to-text and speaker recognition.

• Enhanced multilingual Automatic Speech Recognition (ASR) models, increasing transcription accuracy by 25%.

• Applied Wav2Vec 2.0 with custom language models to optimize transcription fidelity.

• Automated a preprocessing pipeline for noise reduction, silence removal, and normalization, improving data quality. Inteletech Global

Power BI Data Analyst Mar 2023 – Oct 2024

• Designed a scalable data pipeline accommodating 1,000+ daily active users.

• Boosted ETL efficiency by 30% through optimized Python scripts.

• Improved SQL query performance, reducing data retrieval time by 40%.

• Rectified data quality issues, reducing errors by 15%.

• Produced monthly Power BI reports with actionable SQL-based insights.

• Engineered ETL/SSIS packages to seamlessly integrate OLTP systems with a data warehouse.

• Partnered with data scientists to elevate operational performance by 20% Advithri Technologies Frisco, TX

Power BI Data Analyst Jun 2022 – Feb 2023

• Built Power BI dashboards for core KPIs, saving 10+ hours weekly in reporting efforts.

• Conducted cost analysis, reallocating resources more effectively and saving 20%.

• Delivered monthly SQL-based insights that informed strategic decisions.

• Maintained accuracy for 300+ project initiatives by updating real-time data systems.

• Collaborated with DBA teams to fortify database reliability and performance. Shriram Life Insurance Company Ltd, Hyderabad, TS, India Data Analyst Sep 2018 – Dec 2020

• Verified critical documents, reducing policy fraud by 40%.

• Revamped communication protocols across 10 departments, cutting paperwork by 75%.

• Enhanced software features, boosting project value by 20%.

• Achieved an 8% reduction in annual man-hours through SQL-based operational improvements.

• Refined ETL workflows using indexes, views, and stored procedures for optimal efficiency. Bharti-Axa Life Insurance, Hyderabad, TS, India

Data Analyst Aug 2016 – Aug 2018

• Analysed healthcare data with SQL conditional formatting, uncovering key insights.

• Presented exploratory data insights through compelling Tableau visualizations.

• Deployed scalable ETL pipelines with SSIS on Microsoft Azure ACADEMIC PROJECT

Data Analytics –Huntsville Botanical Garden Jan 2022 - Apr 2022

• Investigated Alabama’s statewide flora using R and Tableau to compare it with Huntsville Botanical Garden’s biodiversity. Data Science Projects Sep 2018 - Mar 2019

Multi Class Classification Problem - Error Category Detection -Rstudio-KNN, Logistic Regression, Random Forest

• Multi-Class Classification Problem: Built classification models (KNN, Logistic Regression, Random Forest) achieving 79% accuracy for UFE (Unforced Errors) in tennis games.

• Modeled claim categories for insurance data, resulting in 70% accuracy. EDUCATION

UNIVERSITY OF ALABAMA IN HUNTSVILLE, Huntsville, AL, USA Jan 2021 –May 2022 Master of Science (Business Analytics)

Relevant Courses: Database Management, Probability & Statistics, Data Warehousing, Machine Learning, Decision Modelling, Supply Chain Management.

INSTITUTE OF PUBLIC ENTERPRISE, Hyderabad, TS, India Jun 2014 - Apr 2016 Masters in Business Administration (MBA), Marketing and Finance Member, Student Committee Event Sponsor Student Placement Committee Relevant Courses: Budgeting, Brand Management, Services Marketing, Corporate Finance, Quantitative Methods. GITAM UNIVERSITY, Visakhapatnam, Andhra Pradesh, India Aug 2008 – Apr 2012 Bachelor of Technology, Mechanical Engineering

Relevant Courses: Machine Design, Thermodynamics, Heat & Mass Transfer, CAD/CAM.

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