Data Analyst Power Bi

SRIKEERTHANA REDDY BANDI

Fremont,CA 341-***-**** ****************@*****.*** linkedin.com/in/keerthana-bandi SUMMARY

Results-driven Data Analyst with over 3 years of experience in SQL, Python, and advanced Excel with VBA automation. Skilled in data visualization tools like Power BI and Tableau, ETL processes, and predictive modeling using TensorFlow and scikit-learn. Proven ability to analyze large datasets, create interactive dashboards, and deliver actionable insights to drive business decisions. Recognized for optimizing workflows and ensuring high-quality deliverables. EDUCATION

Indiana University Bloomington Bloomington, Indiana Masters in Data Science; CGPA: 3.87/4.0 May 2024

TECHNICAL SKILLS

• Programming: Python, SQL, VBA, R, Shell Scripting

• Databases: SQL Server, MySQL, DB2, Oracle SQL, Snowflake, PostgreSQL, MongoDB

• Cloud & Big Data: Azure (Data Factory, Databricks, Synapse Analytics), AWS S3, Spark, GCP (BigQuery, Dataflow)

• Data Engineering: ETL Pipelines, Dimensional Modeling, Schema Design, Data Warehousing, Data Lakes

• Machine Learning: Pandas, Numpy, TensorFlow, PyTorch, scikit-learn, Keras, MLflow

• Business Intelligence: Power BI (DAX), Tableau, Excel (Advanced), Looker, Data Studio

• Analytics: Regression Analysis, Predictive Modeling, KPI Monitoring, Dashboard Development, Statistical Analysis

• DevOps & Automation: Git, Jenkins, Docker, Airflow WORK EXPERIENCE

Senior Consultant (Data Analyst) Jul 2024 – Present Hoosier Community Network Bloomington, US

• Collaborated with stakeholders to understand and translate business needs into actionable data solutions, improving operational efficiency by 20%.

• Automated data extraction from digitized records by developing Python scripts, transforming raw data into structured CSV files for analysis.

• Validated and transformed large datasets to ensure accuracy, quality, and consistency through precise source-to- target mapping.

• Managed data loading and maintenance using SQL Server Management Studio, optimizing workflows for efficiency.

• Designed and developed interactive Power BI dashboards, increasing stakeholder engagement by 25% and enabling data-driven decision-making.

Software Engineer Jun 2020 – Jul 2022

Ivy Comptech Hyderabad, India

• Delivered 20+ US and Europe applications to production with 0 defects, ensuring high-quality deployment through meticulous application development and configuration.

• Analyzed customer behavior across 100+ tables using complex SQL joins to support Safer Gambling initiatives, providing actionable insights for risk mitigation.

• Developed SQL and Python scripts to address 95% of project requirements, automating workflows and improving data processing efficiency.

• Performed root cause analysis on ETL data discrepancies, ensuring integrity and accurate reporting.

• Built interactive dashboards using SQL and Power BI to deliver real-time insights, driving strategic decision-making and operational improvements.

• Leveraged CRM tools to analyze user behavior and monitor KPIs such as open rates, click-through rates, and retention metrics, improving campaign effectiveness and increasing retention by 12%.

• Presented KPI reports and trends to stakeholders, enabling strategies that reduced gambling risks by 90%.

• Recognized with a grant for outstanding performance in managing the Coral Bet Station project, demonstrating dedication and commitment to delivering exceptional results. PROJECTS

Adventure Works Azure Migration Azure Data Factory, PySpark, Synapse Analytics

• Implemented ETL pipelines to migrate data to Azure with Data Factory and PySpark, reducing processing time by 30% and improving data quality by 20%. Built Power BI dashboards integrated with Synapse Analytics for real-time insights. Product Sales Analysis Tableau, SQL

• Conducted sales trend analysis using SQL and Tableau, creating interactive dashboards for accurate forecasts and action- able insights. Improved customer segmentation & visualized key metrics, enhancing strategic planning & decision-making. Flight Price Prediction Python, TensorFlow, scikit-learn

• Developed predictive models with TensorFlow and scikit-learn to analyze flight price factors. Conducted EDA on 300,000+ records using Pandas and visualized trends with Matplotlib and Seaborn, improving model accuracy and insights. Kaggle Insights Dashboard Power BI, SQL, DAX

• Analyzed structured datasets using SQL and developed Power BI dashboards to visualize user engagement metrics, improving reporting efficiency by 30% and delivering actionable insights for data-driven decision-making and stakeholder satisfaction.

Contact this candidate