Power Bi Data Analyst

GREESHMA JULAPALLI

+1-913-***-**** ********************@*****.*** LinkedIn

SUMMARY

Certified Google Data Analytics Expert with 3 years of strong expertise in SQL, Python, and Power BI, leveraging AI-driven analytics and automation to extract next-gen insights. Proficient in data engineering, predictive modeling, and cloud-based visualization to empower data-centric decision-making. Passionate about optimizing data pipelines and using machine learning to unlock business value and innovation. Delivered actionable insights and ad-hoc analyses to stakeholders, supporting data-driven decisions through clear visualization and communication.

EDUCATION

Master’s in computer science August 2023

University of Central Missouri, Missouri

Bachelor’s in computer science September 2020

VR Siddhartha Engineering College, Vijayawada

EXPERIENCE

DATA ANALYST

Bot Technologies, USA November 2023 – Present

Engineered data solutions with SQL, Python, and AI/ML models, improving risk assessment accuracy by 20%.

Designed and deployed 10+ interactive Power BI dashboards, optimizing reporting through cloud analytics and boosting efficiency by 40%.

Analyzed $500M+ in assets, utilizing predictive analytics to enhance credit risk strategies.

Collaborated to optimize data pipelines and integrate cloud-native AI technologies, driving scalability and data-driven innovation.

Automated data quality checks and reporting workflows, reducing manual effort by 60% and ensuring consistent, reliable insights across business units.

DATA ENGINEER

Apexon, USA June 2023 – July 2023

Engineered scalable data pipelines with Python, improving processing efficiency by 25%.

Leveraged Databricks for advanced data transformations, reducing analytics processing time by 20%.

Managed secure data storage with Azure Blob Storage, ensuring 99% data availability and integrity.

Designed and deployed Power BI dashboards, boosting stakeholder decision-making and operational efficiency.

DATA ANALYST

CapGemini, India November 2020 – December 2021

Engineered data pipelines using SQL and Python, applying machine learning models to optimize decision-making and improve efficiency by 30%.

Built and automated real-time Power BI dashboards, integrating advanced analytics to reduce reporting time by 40%.

Ensured 99% data quality through innovative ETL workflows and advanced data preprocessing techniques.

Partnered with cross-functional teams to implement cloud-based solutions and AI-powered insights, driving digital transformation and operational agility.

PROJECTS

Banking Data Analysis and Reporting

Built Power BI dashboards to analyze banking performance metrics, providing critical insights to leadership.

Extracted and transformed data using SQL to enable accurate and efficient reporting.

Healthcare Management System

Designed a web application using Django Framework with MySQL backend for managing patient records.

Developed robust REST APIs for seamless backend integration.

CERTIFICATIONS

Google Data Analytics Professional Certificate

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