Data Analyst Business Intelligence

VENKATESH VARRE

Business Intelligence & Data Analyst

Coppell, TX 989-***-**** *********@*****.*** LinkedIn: www.linkedin.com/in/venkatesh-varre-469b602b3. PROFESSIONAL SUMMARY

Results-driven Business Intelligence & Data Analyst with 4 years of experience in designing, developing, and opƟmizing ETL, Data Warehousing, and Business Intelligence soluƟons using MicrosoŌ technologies. ExperƟse in SQL Server, SSIS, SSAS, SSRS, Azure Data Factory, Power BI, and NoSQL databases like MongoDB and Cassandra. I am skilled in data modeling, ETL pipeline development, data transformaƟon, and cloud-based analyƟcs to drive business insights. Proficient in data visualizaƟon, predicƟve analyƟcs, and AI-driven models, helping organizaƟons enhance decision-making processes.

Adept at working in Agile environments, collaboraƟng with cross-funcƟonal teams to implement scalable, high- performance data soluƟons that ensure accuracy and efficiency. Experienced in data governance, anomaly detecƟon, and performance opƟmizaƟon, ensuring seamless data integraƟon and reporƟng. Passionate about leveraging modern data technologies to improve analyƟcs frameworks, automate workflows, and support enterprise-wide data strategies.

TECHNICAL SKILLS

Data Warehousing & ETL: SQL Server, SSIS, Azure Data Factory

BI & ReporƟng: Power BI, Tableau, SSRS, SSAS, DAX, MDX

Cloud Technologies: MicrosoŌ Azure, Azure Synapse AnalyƟcs

ScripƟng & AutomaƟon: SQL, Python, PowerShell

Big Data & AnalyƟcs: Azure Data Lake, Databricks

Data AnalyƟcs: Exploratory Data Analysis (EDA), Data Cleaning, Data VisualizaƟon, StaƟsƟcal Analysis, PredicƟve AnalyƟcs

NoSQL Databases: MongoDB, Cassandra, Cosmos DB

Project Management: Agile, Scrum, Jira, Confluence

Master Data Management: Profisee

PROFESSIONAL EXPERIENCE

Machine Learning & Data Warehouse Engineer

Rysun Labs, CA, USA Jul 2024 - Present

Developed an object detecƟon system using YOLO & ResNet for real-Ɵme image recogniƟon.

Designed deep learning models and opƟmized ETL pipelines using Azure Data Factory & SSIS.

Built and opƟmized dimensional data models for advanced analyƟcs.

Implemented data deduplicaƟon techniques to ensure a single source of truth.

Created Power BI dashboards for real-Ɵme business insights and execuƟve decision-making.

Conducted exploratory data analysis to uncover insights and trends.

Integrated NoSQL databases like MongoDB for handling semi-structured data. Business Intelligence & Data Analyst

Government of Andhra Pradesh, India Dec 2020 - Jun 2022

Designed and developed ETL pipelines using SSIS and Azure Data Factory.

Created Power BI dashboards and SSRS reports, enhancing execuƟve decision-making.

OpƟmized SQL queries, improving performance by 40%.

Implemented dimensional modeling to enhance reporƟng capabiliƟes.

Performed staƟsƟcal analysis and predicƟve modeling to drive business insights.

UƟlized NoSQL soluƟons to handle unstructured datasets efficiently. ETL & Data Analyst

Chandra Engineering and Equipment Services Pvt. Ltd., India Apr 2019 - Nov 2020

Developed ETL soluƟons using SSIS for financial and operaƟonal analysis.

Designed Power BI and Tableau dashboards for business tracking.

Collaborated with Agile teams for Ɵmely data soluƟons delivery.

Conducted data cleansing and anomaly detecƟon to improve data quality.

Worked with NoSQL databases like Cassandra to manage distributed datasets. Junior Data Analyst

ICICI Bank Limited, India Apr 2018 - Mar 2019

Analyzed transacƟonal data for fraud detecƟon and business trends.

Automated reports using SSRS and Power BI, reducing manual effort by 50%.

Applied staƟsƟcal techniques to assess financial risks and trends. PROJECT HIGHLIGHTS

Data Analysis: Applied ETL techniques to geospaƟal data, opƟmizing business expansion strategies.

Object DetecƟon in Hospitality: Developed AI-based anomaly detecƟon for hotel housekeeping compliance.

Expense CategorizaƟon: Automated approval workflows for employee expenses based on company policies.

OpƟmized ETL Pipelines: Reduced data processing Ɵme by 35% through performance tuning.

Cloud Data MigraƟon: Assisted in migraƟng on-premises SQL Server Data Warehouse to Azure Synapse.

Customer Churn PredicƟon: Implemented machine learning models to predict customer churn, enabling proacƟve retenƟon strategies.

Financial ForecasƟng: Developed predicƟve analyƟcs models to forecast financial trends, improving decision-making.

Supply Chain OpƟmizaƟon: Created Power BI dashboards to opƟmize supply chain efficiency using real-Ɵme analyƟcs.

SenƟment Analysis: Leveraged NLP techniques to analyze customer reviews and feedback for business improvement.

NoSQL-Based Data Processing: Designed a MongoDB-based soluƟon for handling large volumes of semi- structured data efficiently.

EDUCATION

Master’s in informaƟon technology, Aug 2022 – May 2024 Central Michigan University, Mount Pleasant, USA I have learned and enhanced so many technical skills by this master's and I am very proud to be an alumnus in my university.

Bachelor’s in technology, Jul 2012 – May 2016 Jawaharlal Nehru Technological University, Kakinada, INDIA I have transformed my personality a lot in this part of my EducaƟon, where my confidence and professionalism increased a lot.

SOFT SKILLS

Problem-Solving & CriƟcal Thinking: Analyzing complex datasets and deriving acƟonable insights.

Data InterpretaƟon & Storytelling: TranslaƟng data into clear, impacƞul reports and visualizaƟons.

Stakeholder CommunicaƟon: CollaboraƟng with cross-funcƟonal teams to align data soluƟons with business objecƟves.

Agile & Scrum CollaboraƟon: Working in Agile environments for iteraƟve project improvements.

AƩenƟon to Detail: Ensuring data accuracy and consistency through validaƟon and governance.

Adaptability & ConƟnuous Learning: Keeping up with evolving data technologies and best pracƟces.

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