Alekya Peesu
Senior Data Analyst • Michigan, 48141 • a**************@gmail.com • +12******461 • drivetube.ai/•••••
Professional Summary
Data Analyst with 4+ years of experience delivering reporting, dashboards, and ad hoc analysis across healthcare, banking, financial services, and pharmaceutical supply-chain domains. Strong hands-on experience writing complex T-SQL and Snowflake queries to extract and transform large enterprise datasets for reporting and analytics. Skilled in building production Power BI reports with DAX, authoring Tableau visualizations, and producing accurate Excel-based reconciliations and automated templates. Experienced with Python and R for data cleansing, automation, and statistical analysis. Regularly gather and translate business requirements into validated reports, perform data reconciliation and quality checks, and present actionable insights to technical and non-technical stakeholders. Proven ability to improve reporting reliability and reduce manual effort through query optimization, parameterized extracts, and report automation.
Technical Skills
Programming Language: Python,R,VBA,SQL
Databases: Snowflake,Stored Procedures
Version Control & Development Tools: Jupyter Notebook
Data Warehousing: Data Modeling
Data Analysis & Visualization: Power BI,Tableau,DAX,Statistical Analysis
Data Integration & ETL: Data Validation
Work Experience
Elevance Health
Michigan, USA
Senior Data Analyst
Jul 2025 – Present
Supported analytics and reporting for a large healthcare payer, delivering operational and membership reporting for clinical and operations stakeholders.
Tech Stack: Snowflake, SQL Server, Power BI, Tableau, Excel, DAX, Stored Procedures
- Analyzed healthcare claims and membership datasets by authoring complex SQL queries in Snowflake and SQL Server to prepare curated datasets for reporting.
- Built Power BI reports with DAX measures and parameterized filters to surface enrollment and utilization KPIs for operations and clinical teams.
- Designed Tableau visualizations to highlight trend patterns and exception cases, enabling stakeholders to identify high-priority operational issues.
- Validated and reconciled source data using Excel and SQL to ensure report accuracy prior to stakeholder distribution.
- Gathered and documented reporting requirements from clinical and operations partners and translated them into data models and report specifications.
- Automated recurring data extraction and refresh processes using stored procedures and parameterized SQL to reduce manual preparation.
Truist Bank
Michigan, USA
Data Analyst
Aug 2023 – Dec 2024
Delivered operational and financial reporting to finance, risk, compliance, and operations teams within a regional banking environment.
Tech Stack: SQL Server, Power BI, Tableau, Excel, T-SQL, Stored Procedures
- Developed T-SQL queries and stored procedures in SQL Server to extract customer and transactional data for recurring operational reports.
- Created Power BI dashboards to present KPIs and exception monitoring for finance and risk stakeholders.
- Constructed Tableau reports to visualize transaction trends and identify outliers for operations review.
- Performed data validation and reconciliation using Excel to verify financial aggregates and feed reconciled datasets into reporting pipelines.
- Translated business and compliance requirements into documented data specifications and report logic for engineering handoffs.
- Streamlined report refresh by parameterizing SQL extracts and implementing scheduled exports to reduce manual refresh steps.
Morgan Stanley
Mumbai, India
Data Analyst
Apr 2022 – Jul 2023
Supported financial and operational analytics teams by preparing large-scale datasets and delivering analytical reports for trading and operations.
Tech Stack: SQL, Python, R, Tableau, Jupyter Notebooks, Excel
- Authored complex SQL queries to extract and aggregate large financial datasets for performance and risk analysis.
- Implemented Python scripts in Jupyter Notebooks to automate data cleansing and pre-processing workflows for downstream reporting.
- Applied R for statistical analysis and model-based insights to answer ad hoc client reporting questions.
- Designed interactive Tableau dashboards to visualize trading and operational metrics for stakeholder consumption.
- Performed data reconciliation and validation across multiple sources using SQL and Excel to improve reporting reliability.
- Partnered with business partners to define KPIs and translate analytical findings into actionable recommendations.
Merck Group
Mumbai, India
Data Analyst
May 2021 – Mar 2022
Provided supply-chain and production reporting support, analyzing laboratory and operational data to improve process visibility.
Tech Stack: SQL Server, Python, VBA, Power BI, Tableau, Excel
- Extracted and transformed production and supply-chain data using SQL Server to prepare datasets for operational reporting.
- Automated recurring reports and data cleansing tasks using Python scripts and Excel VBA macros to reduce manual effort.
- Built Power BI dashboards to track production KPIs and inventory levels for operations managers.
- Developed Tableau visualizations to communicate process performance and deviations to stakeholders.
- Implemented data validation rules and reconciliation procedures to improve data quality for supply-chain reports.
- Created standardized Excel templates and pivot-table based reports to streamline regular operational reporting.
Education
Elmhurst University
Master of Science in Computer Science • Chicago, Illinois, USA
Certifications
Microsoft Certified: Azure Data Fundamentals — Microsoft
Microsoft Certified: Power BI Data Analyst Associate — Microsoft
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