Data Analyst Machine Learning

SAIPRIYA MORAVANENI

Celina, USA ***** • 972-***-**** • ******************@*****.***

Professional Summary

Results-driven Senior Data Analyst with 4+ years of experience in data analytics, business intelligence, and data engineering. Proficient in SQL, Python, R, Tableau, Power BI, Databricks, and PySpark, with expertise in ETL development, cloud computing, and big data processing. Skilled in statistical modeling, machine learning, and data visualization to drive business insights. Strong background in automating ETL pipelines, optimizing database performance, and integrating diverse data sources using Google BigQuery, Looker, and Domo. Adept at Agile methodologies, Jira, Confluence, and CI/CD pipelines, with excellent problem-solving, stakeholder communication, and presentation skills.

Technical Skills

• Programming Languages: Python, R, SQL, UNIX Shell Scripting, VBA, XML, SAS

• Data Analytics & Visualization: Tableau, Power BI, Excel, Alteryx, Looker, Adobe Analytics, MS Access, SSMS, Domo, Power Automate, SharePoint, QlikView

• Big Data & Cloud Computing: Databricks, PySpark, Azure Synapse, Snowflake, AWS (S3, Redshift), Azure (Data Factory, SQL Database, Data Explorer)

• Databases & ETL: MySQL, SQL Server, Oracle, Teradata, MongoDB, SSIS, Azure Data Factory, Talend, Data Warehousing, SAP S4

• Machine Learning & Statistical Analysis: Regression, Pattern Recognition, Clustering, Hypothesis Testing, Experiment Design

• Data Engineering & Workflow Automation: Snowflake, Apache Airflow, SAP, dbt, MS Visio, Jira, Confluence

• Frameworks & Methodologies: Waterfall, Iterative, Lean, Kanban, Agile SDLC

• Soft Skills: Problem-Solving, Team Collaboration, Stakeholder Communication, Presentation Skills Work Experience

Senior Data Analyst 11/2023 to Current

Regions Financial Corporation – Dallas, USA

• Automated reporting workflows and optimized SQL scripts, improving reporting efficiency by over 30% and streamlining data processing across teams using SQL, Python, and Power BI.

• Conducted a detailed review of database objects and enhanced schema design, improving SQL Server and MySQL query performance by 20%.

• Designed and implemented dashboards in Tableau, Power BI, and Looker, providing actionable insights to 50+ stakeholders, including senior leadership.

• Developed and optimized ETL workflows using SSIS, Talend, and Azure Data Factory, ensuring seamless data integration across platforms.

• Managed SharePoint-integrated reports and automated processes using Power Automate, streamlining document accessibility for cross-functional teams.

• Implemented machine learning techniques like clustering and regression to improve data-driven decision- making.

Senior Data Analyst 12/2022 to 10/2023

Liberty Mutual – Dallas, USA

• Conducted extensive data profiling and quality assessments, standardizing data from multiple sources with Python, R, and SQL, improving reliability by 40%.

• Designed 20+ interactive dashboards in Google Data Studio, Tableau, and QlikView to visualize KPIs and improve business insights.

• Automated ETL workflows using Python, SSIS, and dbt, reducing manual intervention by 50%.

• Integrated multiple data sources into Domo and Adobe Analytics, enhancing reporting capabilities.

• Developed advanced CI/CD pipelines for SQL-based data transformations, ensuring smooth deployment across cloud platforms like AWS Redshift and Azure Synapse.

• Conducted hypothesis testing and statistical analysis to support business forecasting models.

• Developed Source to Target Mapping (STM) for multiple projects, ensuring seamless data migration. Data Analyst 05/2021 to 07/2022

Sun Pharmaceutical Industries Ltd – Mumbai, India

• Developed and optimized SQL queries, stored procedures, and NoSQL (MongoDB) datasets, enhancing performance for high-volume transactions.

• Built advanced Power BI models that consolidated CRM, ERP, and third-party data, improving forecasting accuracy by 20%.

• Created machine learning models for pattern recognition and clustering, improving customer segmentation.

• Designed and deployed ETL pipelines using SSIS and Apache Airflow, integrating data from over 10 sources.

• Developed Azure Data Factory workflows to automate data movement across cloud platforms.

• Managed Jira and Confluence for cross-functional project tracking and Agile development. Programmer Analyst 03/2020 to 04/2021

Jio Mart – Mumbai, India

• Designed real-time dashboards in Tableau and Power BI, optimizing inventory and sales management across 30+ business units.

• Automated Excel-based reports using VBA and advanced Excel functions (VLOOKUP, INDEX MATCH, PivotTables), reducing manual reporting time by 40%.

• Cleansed and standardized datasets using Python (Pandas, NumPy, SciPy) and SQL, addressing 95% of data integrity issues.

• Developed ETL packages using SSIS, integrating data from flat files, APIs, and Teradata.

• Built and optimized Snowflake-based data warehousing solutions, enabling high-speed analytics for large datasets.

• Created UNIX shell scripts for automated data processing tasks. Education

Master of Science: Information Science, 2024

The University of Texas at Dallas - Richardson, TX

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