Data Analyst Power Bi

Shivani Enugandula

720-***-**** *******@*********.*** LinkedIn

PROFESSIONAL SUMMARY

Results-driven Data Analyst with 4+ years of experience in data analysis, predictive modeling, and decision- making. Expertise in SQL, Python, R, and advanced data visualization tools (Tableau, Power BI). Skilled in data extraction, cleaning (ETL), machine learning, and cloud platforms (AWS, Azure). Proven track record of leading teams, driving business outcomes, and automating workflows to improve efficiency and support data- driven decision-making.

SKILLS

• Programming Languages: SQL, Python, R, SAS, Spark.

• Data Analysis & Visualization: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, ggplot2, Plotly, Power Query, Excel (Pivot Tables, VBA).

• Cloud Platforms & Data Integration: AWS (S3, EC2, RDS, Redshift), Azure (Data Factory, Databricks), SSIS, Talend, Hadoop, DataStage.

• Machine Learning: Regression, Decision Trees, Classification, Clustering, Time Series Analysis.

• Database Management: MySQL, SQL Server, PostgreSQL, Oracle, MongoDB, Snowflake.

• Project Management: Agile (Scrum), Waterfall, SDLC.

• Tools & Technologies: Apache Airflow, Git, JIRA, Salesforce, Google Analytics, ESG (Environmental, Social, Governance).

EXPERIENCE

Data Analyst United Healthcare Group, Remote Jan 2024 – Present

• Led a cross-functional team of 5 members to document technical requirements using Agile and Waterfall methodologies, improving project clarity and delivery timelines by 20%.

• Automated data cleaning processes using SQL and Python, reducing data errors by 30% and improving data integrity.

• Directed the integration of AWS S3 for data storage optimization, improving data accessibility and retrieval times, and leading to a 30% increase in reporting efficiency.

• Developed interactive dashboards in Tableau and Power BI, providing real-time analytics and actionable insights, enhancing decision-making across departments.

• Coordinated data quality assessment projects, identifying and correcting inconsistencies, improving data accuracy and reliability by 25%.

Tech Stack: SQL, Python, AWS S3, Tableau, Power BI, Agile, Waterfall. Data Analyst CU Denver Business School, Denver, CO May 2023 – Jan 2024

• Conducted research comparing brand asset valuations in mergers and acquisitions, identifying a 15% discrepancy and providing actionable insights to align consumer ratings with accurate brand valuations.

• Streamlined data analysis workflow by 40% for 500+ firms by utilizing SQL, Power Query, and Excel Pivot Tables, improving efficiency in processing large datasets.

• Designed interactive Power BI visualizations to pinpoint drivers of brand valuation discrepancies, leading to a 20% enhancement in valuation variance accuracy.

• Investigated ESG data, providing a 30% improvement in understanding the impact of sustainability factors on brand value.

Tech Stack: SQL, Power Query, Power BI, Excel Pivot Tables, ESG. Data Analyst Accenture Solutions, Hyderabad, India Sep 2020 – Jul 2022

• Led comprehensive data analysis and profiling using Teradata, processing over 10 million records to enhance data integrity, driving operational decision-making and reducing analysis time by 20%.

• Automated data cleaning processes using Python and SQL scripts, saving 15 hours per week on reporting tasks, improving team productivity by 20%.

• Created predictive financial dashboards using Tableau, allowing stakeholders to visualize key metrics, optimizing operational strategies and business decision-making.

• Mentored junior analysts in data analysis techniques and best practices, leading to a 15% increase in team productivity and improved the overall quality of deliverables. Tech Stack: SQL, Python, Tableau, Agile, Teradata. Data Analyst Intern Polaris, Hyderabad, India Sep 2018 – Aug 2020

• Managed multiple data projects utilizing Agile methodologies, ensuring timely delivery of data solutions that aligned with business goals and exceeded client expectations.

• Performed data manipulation and visualization using Python and R, improving data interpretation accuracy by 25%, providing actionable insights to stakeholders.

• Designed and implemented ETL processes with SSIS to load and transform data, improving workflow efficiency by 25%.

Tech Stack: Python, R, SSIS, Agile, Tableau.

EDUCATION

University of Colorado Denver, Denver, CO Aug 2022 – May 2024 MS in Information Sciences (Business Intelligence)

Contact this candidate