Sri Pooja
Katy,TX
Summary
Accomplished Senior Data Analyst with a proven track record at a Technology Firm, enhancing business strategy and operational efficiency by over 30% through advanced data analytics and machine learning models. Expert in Python, SQL, and Tableau, with exceptional skills in synthesizing complex data into actionable insights. Collaborates effectively across teams to drive data-driven decision-making.
Overview
10
10
years of professional experience
Work History
Data Analyst
Leading Retail Organization
01.2021 - Current
- Designed and developed interactive dashboards and reports using Tableau and SQL to support data-driven decision-making across multiple departments
- Led data analysis to identify trends, patterns, and opportunities in talent management and human resources data, addressing key human capital needs
- Conducted advanced statistical analysis and machine learning techniques using Python and R to generate insights on employee performance, retention, and satisfaction
- Translated business requirements into actionable recommendations by synthesizing complex data and presenting it in clear, understandable visualizations and reports
- Utilized HRIS systems (e.g., Workday, SuccessFactors) to integrate employee data into comprehensive analytical solutions
- Developed automated reporting systems and real-time dashboards to track KPIs and measure business performance across the organization
- Worked closely with cross-functional teams, including HR, IT, and business stakeholders, to understand data requirements and deliver impactful insights
- Expert in writing SQL queries and optimizing the queries in Oracle,SQL Server 2008 and Teradata.
- Involved in extensive DATA validation by writing several complex SQL queries and Involved in back-end testing and worked with data quality issues.
- Worked with end users to gain an understanding of information and core data concepts behind their business.
- Identify & record defects with required information for issue to be reproduced by development team.
- Designed and developed database models for the operational data store, data warehouse, and federated databases to support client enterprise Information Management Strategy.
- Flexible to work late hours to coordinate with offshore team.
- Metrics reporting , data mining and trends in helpdesk environment using Access
- Worked with data investigation, discovery and mapping tools to scan every single data record from many sources.
Senior Data Analyst
Technology Firm
Beaverton, OR
08.2018 - 12.2020
- Led the design and execution of high-volume data solutions using SQL, Python, and Spark to analyze large datasets and support consumer analytics functions
- Collaborated with business stakeholders to define key metrics, develop reports, and provide insights to inform business strategy and decision-making
- Designed and implemented machine learning models to predict business trends, optimize workflows, and improve decision-making processes
- Developed and maintained data pipelines for processing and visualizing key business metrics using Tableau and Databricks
- Ensured data quality and integrity by building robust data governance standards, performing data validation, and applying quality control procedures
- Delivered in-depth analysis and statistical models to predict market trends, customer behavior, and sales performance, increasing operational efficiency
- Created ad-hoc and customized queries to extract meaningful insights, translating complex findings into business-friendly language for non-technical stakeholders
- Performed data analysis and data profiling using complex SQL on various sources systems including Oracle and Teradata.
- Metrics reporting , data mining and trends in helpdesk environment using Access
- Written complex SQL queries for validating the data against different kinds of reports generated by Business Objects XIR2
- Extensively used MS Access to pull the data from various data bases and integrate the data.
- Identify & record defects with required information for issue to be reproduced by development team.
- Flexible to work late hours to coordinate with offshore team.
Data Analyst
Financial Services Organization
06.2016 - 07.2018
- Designed interactive Power BI reports and dashboards to track key performance indicators (KPIs), visualize business performance, and analyze financial metrics for decision-making.
- Worked closely with cross-functional teams to gather requirements, understand business challenges, and create data-driven solutions that enhanced operational efficiency and forecasting accuracy.
- Performed data cleansing, transformation, and validation to ensure data accuracy and reliability across various business intelligence tools.
- Conducted in-depth exploratory data analysis (EDA) and statistical testing on customer transaction data to identify correlations, trends, and actionable insights.
- Automated data pipelines using Python and SQL, integrating new data sources into existing systems to streamline reporting and improve workflow efficiency.
- Assisted in designing data-driven marketing strategies by analyzing customer segmentation, identifying revenue opportunities, and optimizing customer targeting strategies.
- Built predictive models and performed hypothesis testing to identify potential business risks and opportunities.
- Maintained and optimized large-scale databases in SQL Server, ensuring data consistency, efficient query performance, and secure access controls.
- Translated complex datasets into clear visual stories using Power BI and Excel, enabling executives and stakeholders to make informed decisions.
- Developed and monitored KPIs to measure business success and identified areas for process improvement.
- Leveraged tools like Python (Pandas, NumPy) and Snowflake to perform advanced data analysis and integrate data from cloud platforms like GCP.
- Delivered ad hoc analyses and reports to answer time-sensitive business questions and support immediate operational needs.
- Provided monthly and quarterly trend analyses to help leadership evaluate performance and align with strategic objectives.
- Conducted training sessions for team members on data analytics tools and created documentation for processes, reports,
Junior Data Analyst
Healthcare Provider
06.2015 - 05.2016
- Ensured patient records were accurate and complete by performing data cleaning and validation tasks.
- Identified patterns in healthcare services and patient outcomes to help improve the quality of care.
- Assisted in writing and running SQL queries to pull data for internal audits and compliance checks.
- Used tools like Excel, Tableau, and Power BI to build easy-to-understand reports and dashboards showing patient demographics, hospital performance, and service usage.
- Conducted exploratory data analysis to find meaningful trends and relationships in patient data.
- Generated reports to monitor important metrics like patient readmission rates, average length of stay, and treatment success rates.
- Helped create forecasts for patient numbers and resource needs to improve planning and staffing.
- Designed dashboards to track things like bed availability, appointment schedules, and patient flow in real time.
- Worked closely with clinical teams to interpret data and find ways to enhance patient care.
- Reviewed patient surveys and feedback to pinpoint areas for service improvement.
- Supported database updates and maintenance to ensure information was stored securely and accessed efficiently.
- Delivered quick, targeted data analyses for urgent questions from hospital managers.
- Assessed how new procedures and policies impacted hospital performance and patient care.
- Helped team members learn how to use tools like Excel and Tableau for analyzing data.
- Assisted in merging new data sources into the hospital’s central system for reporting and analysis
Education
Bachelor of Science - Computer Science
Jawaharlal Nehru Technological University
Hyderabad05.2015
Skills
- Programming & Scripting Languages: Python (Pandas, NumPy, PySpark, Matplotlib, Seaborn), SQL, R
- Cloud Platforms: Azure (Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, Azure Functions, Azure Machine Learning), Google Cloud (BigQuery, Dataflow, Dataproc)
- Big Data & Distributed Systems: Apache Spark, Hadoop, PySpark, Apache Hive, Apache Kafka
- Data Modeling & ETL: Data Warehousing, Star Schema, Snowflake Schema, ETL Pipelines (Azure Data Factory, Apache Airflow)
- Machine Learning & AI: Scikit-learn, TensorFlow (basic), XGBoost, Keras
- Containerization & Orchestration: Docker, Kubernetes
- Data Visualization Tools: Tableau, Power BI, D3js, Plotly
- Databases & NoSQL: MySQL, PostgreSQL, MS SQL Server, NoSQL (MongoDB, Cassandra)
- Version Control: Git, GitHub, GitLab
- Tools & Software: Jupyter Notebooks, Apache Zeppelin, Google Colab
- Project Management Tools: Jira, Asana, Trello
Timeline
Data Analyst
Leading Retail Organization
01.2021 - Current
Senior Data Analyst
Technology Firm
08.2018 - 12.2020
Data Analyst
Financial Services Organization
06.2016 - 07.2018
Junior Data Analyst
Healthcare Provider
06.2015 - 05.2016
Bachelor of Science - Computer Science
Jawaharlal Nehru Technological University
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