Data Analyst Power Bi

Tanvi Gaddameedi

Data Analyst

+1-209-***-**** *****.************@*****.*** CA 92407 LinkedIn SUMMARY

Data Analyst with 3+ years of experience in extracting, analyzing, and visualizing data to identify the scope of improvement and applying data solutions. Hands-on experience with SQL, Excel, and Python for data manipulation, with expertise in using Power BI and Tableau to create insightful dashboards and reports. Experience in conducting data cleaning, trend analysis, and statistical modeling to identify patterns and generate actionable insights. Analyzed customer purchase data using SQL queries to identify top buying trends, resulting in a 10% increase in sales. SKILLS

Methodology: SDLC, Agile, Scrum, Waterfall

Language: Python, R, Spark

IDEs: Visual Studio Code, PyCharm, Jupyter Notebook Packages: NumPy, Pandas, Matplotlib, Scikit-learn, ggplot2 Statistical & Analytical Techniques: Descriptive & Inferential Statistics, A/B Testing, Correlation Analysis, Forecasting, Regression Modeling, Hypothesis Testing

Visualization Tools: Tableau, Power BI, MS Excel

Cloud Technology: AWS (S3, Redshift, Glue), GCP (BigQuery, Cloud Storage), Azure (Data Lake, Synapse Analytics), Databricks, Snowflake

Data Cleaning & Transformation: ETL Processes, Alteryx, Apache NiFi, Talend, SSIS, Data Wrangling (Python/Excel), Data Validation Databases: MySQL, PostgreSQL, SQL Server, Oracle, MongoDB, Google BigQuery, Amazon Redshift Version Control Tools: Git, Git bash

EXPERIENCE

Data Analyst, Cigna Healthcare Group, USA January 2025 – Present

Engaged in Agile methodology practices, participating in all aspects, including Sprint Meetings, Sprint Planning meetings, sprint reviews, and retrospective meetings, to foster a collaborative and iterative project execution environment and ensure alignment with project objectives and timelines.

Wrote Python scripts to match training data with the database stored in AWS Cloud Search to assign each document a response label for further classification.

Applied many Python and R packages, including NumPy, Pandas, Matplotlib, Scikit-learn, and ggplot2, to conduct thorough data analysis and visualization tasks.

Designed revenue reporting dashboards using Excel and Power BI, visualizing key performance indicators (KPIs) and providing stakeholders with revenue analytics for decision-making, contributing to revenue optimization strategies.

Managed MySQL databases, establishing efficient pipelines by implementing user-defined functions and deposited procedures to streamline daily reporting processes and ensure the accurate and timely delivery of insights to stakeholders.

Utilized Snowflake to query, transform, and analyze large datasets for efficient warehousing and real-time reporting. Data Analyst, Hexaware Technologies, India July 2020 – July 2023

Created user stories with acceptance criteria to define requirements and align teams within Agile sprints.

Collaborated with stakeholders to comprehensively analyze and document project requirements in adherence to Waterfall methodology, ensuring precision and completeness of project documentation.

Developed visually compelling dashboards and reports using industry-leading visualization tools like Tableau, Power BI, and MS Excel, facilitating clear communication of analytical findings and insights.

Employed cloud platforms such as Databricks and Google Cloud for scalable storage, processing, and data analysis, fostering efficient data management practices.

Developed and maintained ETL processes to extract, transform, and load data from sources into centralized data warehouses, improving data accuracy by 30%.

Implemented routine maintenance and backup strategies for SQL Server databases, guaranteeing continuous data accessibility and enhancing disaster recovery preparedness.

Configured AWS instances and dynamically managed resources to accommodate data processing requirements, enhancing system performance and optimizing resource utilization.

Continuously optimized SQL queries, indexes, and procedures to improve system efficiency and performance, ensuring seamless data retrieval and manipulation across databases, thereby enhancing overall data management capabilities.

Demonstrated expertise in data wrangling using MongoDB by merging, reshaping, and aggregating datasets to deliver insights and support strategic, data-driven decision-making. EDUCATION

Master’s in Computer Science, California State University, USA August 2023 – May 2025 Bachelor’s in CSE, Vignan Institute of Technology and Science, Telangana, India July 2018 – July 2022

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