Nandini Doma
Data Analyst • n*****************@gmail.com • 703****581 • linkedin.com/•••••
Professional Summary
Data Analyst with 4 years of experience analyzing, transforming, validating, and visualizing enterprise data to support business intelligence and decision-making. Experienced in SQL, Python, Power BI, Azure Data Factory, Databricks, PySpark, and Informatica PowerCenter. Skilled in ETL development, data cleaning, data validation, dashboard reporting, KPI analysis, data reconciliation, and production support in Agile environments.
Technical Skills
Programming Languages: Python,C#,Shell Scripting
Databases: SQL,SQL Server,Azure SQL Database,MySQL,MongoDB
Cloud and DevOps: Microsoft Azure,Azure Blob Storage,Azure Functions,Azure DevOps,Jupyter Notebook
Data and Analytics: Data Analysis,Data Cleaning,Data Validation,Data Transformation,Data Visualization,Business Intelligence,Dashboard Reporting,KPI Reporting,Power BI,Microsoft Excel,Power Query,Azure Data Factory,Informatica PowerCenter,Databricks,PySpark,ETL,Data Warehousing,Data Modeling
Tools and Methodologies: Git,Postman
Work Experience
Nutanix
Data Analyst
September 2024 – June 2026
Provided data analysis and reporting to support advisor, customer, financial, and operational reporting for business stakeholders in a financial/advisory data environment.
Tech Stack: SQL, Python, Microsoft Excel, Power Query, Power BI, Azure SQL, Azure Data Factory, Git
- Analyzed advisor, customer, financial, and operational datasets to produce analytics-ready extracts and support business reporting and KPI tracking using SQL and Python.
- Standardized large Excel templates and built Power Query transformations to create reusable reporting inputs, improving downstream ETL consistency and handoff speed.
- Processed and validated Excel, CSV, and structured source files with SQL/Python checks to identify missing values and duplicates prior to ingestion, preventing erroneous records from reaching production.
- Developed SQL-based reconciliation routines to compare source systems with Azure SQL targets, uncovering data mismatches and improving data integrity for reporting tables.
- Automated recurring validation and reconciliation tasks using Python scripts and SQL stored procedures, reducing manual effort for report preparation and repeatable reconciliation steps.
- Designed interactive Power BI dashboards and analytical reports to visualize operational KPIs and financial metrics; gathered stakeholder requirements and iterated dashboards in Agile sprints.
Accenture
Data Reporting Analyst - Automation & Data Operations
September 2022 – August 2024
Delivered data engineering, ETL and reporting solutions as part of Accenture's enterprise services for client analytics and operational reporting across multiple domains.
Tech Stack: Informatica PowerCenter, Databricks, PySpark, SQL, Python, Azure Data Factory, Power BI, Azure DevOps, Git, Microsoft Excel
- Analyzed structured business datasets with SQL, Python, and Excel to identify missing fields and format issues, improving weekly report accuracy for internal and client-facing summaries.
- Automated recurring Excel-based reports using pivot tables, reusable models, and validation rules, saving 5–10 hours per week in manual preparation and review across teams.
- Authored SQL extracts with joins, filters, and aggregations to produce clean reporting datasets for operational summaries used by business stakeholders.
- Developed Python scripts to standardize raw files (date normalization, deduplication, format correction), reducing manual file corrections by 20% and accelerating ingestion.
- Documented reporting requirements, field logic, KPI definitions, and data preparation rules to align technical and business teams and ensure consistent metric calculations.
- Managed version control and change tracking for Python scripts, ETL changes, and UAT feedback via Git and Azure DevOps to improve traceability and deployment reliability.
Projects
Enterprise Data Integration & Reporting Platform
Tools Used: SQL, Python, Azure Data Factory, Azure SQL, Power BI
- Designed end-to-end ETL pipelines to ingest Excel and CSV datasets into Azure SQL using Azure Data Factory orchestrations.
- Applied SQL transformations and Python validation scripts to enforce data quality rules and prepare analytics-ready tables.
- Performed source-to-target reconciliation and built interactive Power BI dashboards to surface KPIs and operational metrics for stakeholders.
- Automated scheduled ingestion and report generation to reduce manual processing and improve reporting cadence.
Sales Performance Analytics Dashboard
Tools Used: SQL, Python, Power BI, Microsoft Excel
- Processed transactional sales datasets using SQL and Python for exploratory analysis and KPI computation.
- Implemented data cleaning and transformation steps to compute sales trends, customer behavior, and performance metrics.
- Developed interactive Power BI dashboards with filters, charts, and KPI cards for executive reporting and operational reviews.
- Automated recurring report generation to streamline weekly and monthly reporting cycles.
House Price Prediction using Machine Learning
Tools Used: Python, Pandas, NumPy, Scikit-learn
- Performed data preprocessing, feature engineering, and exploratory data analysis on housing datasets to prepare model inputs.
- Built regression models using Scikit-learn to predict house prices and evaluated model performance with cross-validation.
- Visualized insights using Matplotlib and Seaborn to communicate feature importance and model behavior.
Education
University of Maryland, Baltimore County
Master of Science – Information Systems • Baltimore, MD • Aug 2024 – May 2026
Coursework: Database Systems, Data Analytics, Machine Learning, Cloud Computing, Big Data Analytics, Statistics
Sridevi Women's Engineering College
Bachelor of Technology – Information Technology • 2020 – 2024
Certifications
Microsoft Certified: Azure Developer Associate (AZ-204) — Microsoft
AWS Certified Solutions Architect – Associate — Amazon Web Services
Programming Essentials in Python
HackerRank Software Engineer Certification — HackerRank
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