Data Analyst Power Bi

Srikanth Gurusala

New Jersey 732-***-**** ******************@*****.***

Professional Summary

Experienced Data Analyst with expertise in Python, SQL, Tableau, and Power BI, skilled at transforming raw data into actionable insights. Proven track record in automating data processes and building predictive models across healthcare, finance, and education sectors. Adept at ensuring data accuracy and reliability through validation frameworks. Committed to delivering data-driven solutions that enhance business performance.

Technical Skills

• Operating Systems: Windows, Linux, Unix

• Programming & Data Analysis: Python (pandas, NumPy, scikit-learn, AutoViz, MitoSheet, data-profiling), SQL, statistical analysis techniques for data pre-processing, feature engineering, anomaly detection

• Business Intelligence Tools: Tableau, Power BI

• Automation & Quality Assurance: automating data validation and testing frameworks using Python (Selenium), optimizing QA processes with tools like JIRA

• Data Engineering: ETL processes, real-time data integration using Apache Kafka, optimizing data pipelines

• Data Validation & Reporting: writing complex SQL scripts for data validation

• Data Security & Compliance: adhering to regulatory standards, including GDPR and HIPAA, for data privacy, protection, and compliance

• Team Collaboration & Agile Practices: working with cross-functional teams, conducting data exploration sessions, participating in Agile workflows

Education & Achievement's

Washington University of Science and Technology Present Master of Science, Information Technology

• GPA: 3.92

• Achievements: CGPA: 3.92

Srirama Engineering College (JNTU Anantapur), Tirupati Bachelor of Science, Computer Science

• GPA: 6.7

• Achievements: CGPA: 6.7

Professional Experience

Siemens Jun 2025 - Present

Data Analyst

• Collected and worked with large healthcare datasets (like claims and patient records) using SQL and Python, ensuring accurate reporting of thousands of records each month for Medicare analysis.

• Cleaned and prepared data by fixing missing values, standardizing information, and converting categories, which improved the overall quality of analysis.

• Automated routine data exploration using Python tools, which cut down the time needed to understand new datasets by nearly half.

• Built dashboards in Tableau and Power BI to show trends in healthcare metrics, helping teams track patient outcomes and make better decisions.

• Set up data checks and validation processes that made data pipelines more reliable and compliant with healthcare standards.

• Analysed claims data to find unusual patterns or errors, reducing mistakes by 25%.

• Worked with data engineers to improve ETL processes, making real-time data integration smoother.

• Created validation frameworks and scripts using SQL to ensure accuracy across hundreds of datasets, supporting smooth integration across systems.

• Automated anomaly detection in live data pipelines using Python, which boosted data reliability by 25% and allowed quicker responses to issues.

• Designed and maintained dashboards for healthcare and financial services, giving stakeholders easy-to-use tools for making decisions.

• Monitored ETL workflows end-to-end using SQL and Python, cutting down issue resolution time by 40% through faster root cause analysis.

• Built quality assurance frameworks for data projects, automating repetitive checks with Python and improving efficiency by 50%. Tech Mahindra Jul 2021 - Aug 2023

Data Analyst India

• Led the development and deployment of machine learning models using Python and R to study market trends, which helped refine marketing strategies and added nearly $2M in annual revenue.

• Performed in-depth statistical analysis with Python (Pandas, NumPy) and R, producing insights that guided product improvements and raised customer satisfaction by 25%.

• Improved data systems by integrating MongoDB with existing SQL databases, making information easier to access and cutting data retrieval times by 15%.

• Organized and conducted 10+ hands-on workshops on advanced analytics tools and version control (Git/GitHub), which boosted team efficiency and collaboration by 25%.

• Executed A/B testing strategies using SSRS and SSIS to measure the impact of different marketing approaches, analyzing 50+ campaigns and delivering insights that shaped future initiatives.

• Built and maintained large-scale data warehousing solutions (5TB+), improving the storage, management, and accessibility of business data.

• Applied data mining techniques to analyze 500,000+ records of marketing data, uncovering patterns that helped optimize campaigns and improve performance.

Tech Mahindra Jan 2021 - Jun 2021

Data Engineer (Intern) India

• Worked with the team to build and test basic data pipelines using Python and SQL, improving data processing efficiency

• Helped clean and organize messy data so it could be used more easily for reports and analysis.

• Assisted in combining data from different sources like databases, files, and APIs into one place.

• Wrote simple queries and created small reports to support day-to-day business needs.

• Learned how to troubleshoot data flow issues with guidance from senior team members.

• Got exposure to cloud tools (like AWS/Azure/Google Cloud) and used them for basic data tasks.

• Took notes and documented processes to make it easier for the next person to follow.

• Joined team discussions and shared ideas whenever I found a way to make things simpler.

Contact this candidate