Business Analyst Power Bi

Summary

Reddy H

Philadelphia, PA 972-***-**** ************@*****.***

I’m a detail-oriented Business Analyst and Data Analyst with 3+ years of experience turning raw data into actionable insights. I’ve worked across telecom and banking, building dashboards, automating reporting, and improving processes through cross-functional collaboration. Skilled in SQL, Python, Power BI, Tableau, and cloud platforms (AWS, Azure, GCP), with recent experience applying ML and AI techniques, including LLMs, RAG pipelines, and predictive modeling to make analytics smarter and more accessible. Skills

• Data Analysis & BI: SQL, Excel (Pivot Tables, Power Query), Power BI (DAX, Power Query), Tableau (Calculated Fields, Parameters), Storytelling with Data

• Programming & Data Science: Python (Pandas, NumPy, Scikit-learn, NLTK), R (Basics), API Integration, Data Wrangling, Statistical Modeling

• AI/ML: Predictive Modeling (Regression, Classification, Decision Trees), NLP (Sentiment Analysis, Text Classification, Topic Mod- eling), LLMs (Prompting, Fine-tuning), Retrieval-Augmented Generation (RAG) Pipelines

• Cloud Platforms & Databases: AWS (S3, Redshift), Azure (Data Factory, Synapse, Data Lake, Azure ML), GCP (BigQuery), MySQL, PostgreSQL, SQL Server, Oracle DB

• ETL & Automation: Data Cleaning, Workflow Automation (Python, SQL), Scheduled Jobs, Compliance Reporting Automation

• Collaboration & Tools: Agile/Scrum, JIRA, Confluence, Git, Azure DevOps Experience

Spectrum Jul 2024 - May 2025

Business Analyst (Contract) West Chester, PA

• Designed and deployed 8+ interactive Power BI dashboards hosted on Power BI Service (Azure), enabling executives to monitor customer acquisition, churn, and service KPIs in real time and reducing reporting cycles by 35%.

• Queried 2M+ customer service records from Azure Synapse Analytics and AWS Redshift to perform churn trend analysis; recommendations based on findings lowered churn by 7% in pilot regions.

• Integrated a Retrieval-Augmented Generation (RAG) pipeline using Azure Cognitive Search and OpenAI APIs to enable natural language queries over internal documentation, cutting insight retrieval time from hours to minutes.

• Fine-tuned a sentiment analysis model on 500K+ chat transcripts stored in AWS S3, increasing sentiment classification accuracy from 82% to 94%.

• Partnered with data engineering to validate 15+ data sources across Azure, AWS, and GCP BigQuery, improving executive dashboard data accuracy from 88% to 98%.

Axis Bank via Infosys May 2021 - Jul 2023

Data Analyst India

• Developed 10+ Tableau and Power BI dashboards pulling data from Azure SQL Database and GCP BigQuery, enabling 300+ branch managers to make faster, insight-driven decisions.

• Wrote and optimized 50+ SQL queries across Azure SQL, AWS Redshift, and on-premises Oracle DB to transform 50M+ transaction rows, reducing fraud investigation turnaround from 7 days to 3 days.

• Built a credit risk prediction model in Python and deployed it using Azure Machine Learning with training datasets stored in AWS S3, reducing loan approval times by 25%.

• Partnered with compliance teams to create AML analytics reports from Azure Data Lake and GCP BigQuery, improving suspicious activity detection by 20% and preventing potential losses worth 4.5M.

• Automated RBI compliance reports with Python scripts orchestrated via Azure Data Factory pipelines, reducing manual effort by 30% and cutting error rates by 40%.

Projects

Amazon Product Review Sentiment Analysis

• Analyzed 2.3M+ Amazon product reviews from the Kaggle dataset, stored in AWS S3 for large-scale processing.

• Applied NLP preprocessing (tokenization, stop-word removal, lemmatization) and feature engineering with TF-IDF and Word2Vec.

• Trained Logistic Regression and Random Forest models, achieving 94% accuracy to support product quality and marketing decisions. E-Commerce Revenue Diagnostics

• Performed EDA on 40K+ sales records across 300+ SKUs, uncovering $7.2M lost revenue (7.93% of total) from out-of-stock views.

• Used Mann-Whitney U test to assess post-sale performance, revealing no significant uplift after a major sales spike.

• Flagged underperforming subcategories (-16% growth vs. +19%), enabling product restructuring and targeted merchandising. Global CO2 Emissions Dashboard

• Analyzed 1.1M+ records from Our World in Data (1960–2021) covering 200+ countries.

• Built an interactive Power BI dashboard with time-series visuals, regional drill-down, and per-capita emissions heatmaps.

• Reported that top 10 countries produced ~76% of 2021 CO emissions (China 31%, US 14%, India 7%) for policy analysis. Certification

• Microsoft Certified: Azure AI Fundamentals (AI-900)

• Google Data Analytics Professional Certificate: Coursera

• Tableau Desktop Specialist

Education

University of North Texas

Master of Science, Computer Science Denton, Tecas

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