Data Analyst

Sneha Dorishetti

Data Analyst

SUMMARY

Data Analyst with around 4 years of experience in leveraging advanced analytics, data visualization, and machine learning techniques to drive data-informed decision-making in healthcare and business environments.

Proficient in utilizing tools such as SQL, Python, R, Tableau, and Power BI to develop predictive models, automate reporting processes, and create interactive dashboards that enhance operational efficiency and improve patient outcomes.

Demonstrated expertise in conducting data quality assessments and implementing data governance practices, ensuring data integrity and compliance with regulatory standards, including HIPAA.

Strong collaborator with a proven track record of working cross-functionally to deliver actionable insights that inform strategic initiatives, resulting in significant improvements in client revenue and patient care metrics.

Committed to continuous learning and mentoring, with experience training junior analysts and healthcare staff on data interpretation and analysis techniques, fostering a culture of data-driven decision-making. KEY SKILLS

Methodologies: SDLC, Agile, Scrum, Kanban, Waterfall Language: Python, R, SQL, SAS

Packages: NumPy, Pandas, Matplotlib, Seaborn, SciPy, Scikit Learn, ggplot2 Visualization Tools: Tableau, Power BI, Advance Excel Cloud Technologies: AWS, Azure

Others: Warehousing, Data Wrangling, Statistical Analysis, Visualization Database: MySQL, SQL Server, PostgreSQL, MongoDB

Operating System: Windows, Linux, Mac

EXPERIENCE

Data Analyst Feb 2024 – Present

HCA Healthcare USA

Developed a real-time data visualization dashboard using Tableau and SQL, improving response times to critical patient needs by 40%.

Leveraged Python for advanced data analysis and machine learning, successfully predicting patient admission trends and enhancing resource allocation.

Conducted thorough data profiling and validation processes, ensuring data integrity and accuracy for over 500 healthcare professionals.

Collaborated with clinical teams to analyze patient data, resulting in a 15% reduction in readmission rates through targeted interventions.

Facilitated training sessions for healthcare staff on data interpretation, leading to a 30% increase in data-driven decision- making across departments.

Implemented data governance practices to ensure compliance with HIPAA regulations, enhancing data security and patient confidentiality.

Participated in interdisciplinary meetings to present data insights, influencing strategic decisions that improved patient care pathways.

Developed and maintained documentation for data processes and methodologies, ensuring knowledge transfer and continuity within the analytics team.

Utilized statistical analysis techniques to identify trends and patterns in patient data, supporting evidence-based clinical decisions.

Engaged in predictive modeling to forecast patient outcomes, contributing to proactive healthcare strategies.

Collaborated with IT teams to enhance data infrastructure, ensuring efficient data retrieval and reporting capabilities. Data Analyst Jan 2020 – Jul 2022

Aplus Datalytics India

Developed predictive analytics models utilizing R and Excel, increasing client marketing campaign effectiveness by 25%.

Automated reporting processes through SQL and Power BI, achieving a 50% reduction in report generation time.

Conducted comprehensive data quality assessments, resulting in a 20% improvement in data accuracy for client reports.

Worked closely with cross-functional teams to provide insights that informed strategic business decisions, contributing to a 15% increase in client revenue.

Delivered analytical findings using data visualization tools, effectively translating complex data into actionable insights that enhanced client satisfaction.

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Designed and executed A/B testing frameworks to evaluate marketing strategies, leading to data-driven optimizations that improved campaign performance.

Collaborated with data engineering teams to streamline data pipelines, reducing data processing time by 30% and improving overall efficiency.

Mentored junior analysts in data analysis techniques and tools, fostering a collaborative learning environment and enhancing team capabilities.

Performed market research to identify customer trends, aiding in the development of targeted marketing strategies.

Utilized SQL for data extraction and manipulation, ensuring timely access to relevant data for analysis.

Created dashboards to monitor key performance indicators (KPIs), providing stakeholders with real-time insights into business performance.

EDUCATION

Masters of Science in Computer Science Dec 2023

University of Bridgeport, Bridgeport CT, USA

CERTIFICATION

Google Data Analytics Certification

JP Morgan Excel Certification

Python & SQL Certification by NXTWAVE

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