Rosini Balasubramaniyam Renukadevi
Altamonte Springs,FL
Summary
Dedicated and Detail-Oriented Data Analyst with one year experience in healthcare industry. Proven ability to design schema models, analyze complex datasets, derive actionable insights and contribute data driven decision making process. Proficient in utilizing statistical methodologies, SQL, Snowflake, Azure Data Factory and data visualization tool to create impactful reports and dashboards. Committed to maintain data accuracy, confidentiality and compliance with industry regulation. Adept at collaborating with cross-functional teams to drive improvements in data quality and optimize operational efficiency with healthcare settings.
Overview
5
5
years of professional experience
Work History
BI Data Science Analyst
Andor Health
09.2022 - Current
- Designed and implemented an efficient database schema in Snowflake, optimizing data structures for enhanced analysis and reporting.
- Utilized Azure Data Factory to design and manage complex data pipelines, ensuring seamless integration and data flow.
- Engineered smooth data transitions into Snowflake, creating a unified and efficient data analytics infrastructure.
- Contributed significantly to company growth by thoroughly analyzing diverse healthcare datasets and extracting actionable insights to aid strategic decision-making.
- Produced detailed reports from large datasets, offering actionable recommendations that improved operational efficiency and supported strategic initiatives.
- Applied advanced statistical techniques and data visualization methods, creating comprehensive data models to identify trends, patterns, and anomalies, thereby enhancing data-driven strategies.
Data Analyst
BRT Fashions
09.2019 - 05.2020
- Collaborated closely with business users and managers, actively engaging in discussions to comprehensively gather information for business needs
- Conducted thorough interviews and requirements sessions to understand key objectives.
- Applied a structured approach to translate gathered insights into actionable plans.
- Prepared detailed and well-defined user stories, ensuring alignment with business objectives and facilitating seamless communication across teams.
- Utilized advanced data visualization techniques to create insightful graphs Merged measures, dimensions, and stock lot data from various databases, employing data blending concepts for a holistic view.
- These visualizations provided valuable insights for strategic decision-making within the textile industry.
- Demonstrated proficiency in Microsoft Excel to prepare essential documents for logistics purposes.
- Produced accurate and detailed invoices and packing lists, ensuring compliance with industry standards.
- These documents played a crucial role in facilitating efficient and organized logistics operations Worked collaboratively with cross-functional teams, bridging the gap between technical data analysis and practical business applications.
- Ensured that analytical outputs aligned with business goals and contributed to overall operational excellence.
- Actively participated in identifying opportunities for process improvement.
- Implemented enhancements in data collection, analysis, and reporting processes, optimizing efficiency and contributing to the overall effectiveness of data-driven decision-making in the textile industry.
- Produced monthly reports using advanced Excel spreadsheet functions.
Education
Master of Science - Data Analytics
University Of Central Florida
Bachelor of Science - Computer Science Engineering
Sri Krishna College of Technology
Skills
- Programming & Scripting Languages: Python (NumPy, Pandas), SQL
- Database: MySQL, SQL Server Studio Management, Snowflake,
- Azure Data Factory
- Analytics and visualization tools: Power BI, MS Excel
- Data quality assurance processes
- Data profiling
Additional Information
Flooding the Zone Research
- Worked as part of a research team funded by the US Department of Homeland Security.
- Analyzed twitter data from misinformation tactics utilized by persistent threat state actors.
- Published research at SocialSens2022 in Atlanta, Georgia
Data Visualization for New York Airbnb
- Analyzed annual performance data from New York Airbnb to determine the reasons for the company's growth in the New York market.
- Collected Airbnb one year of data from Kaggle and quantified the longitudinal growth and identified key factors within their business model that drove their growth.
Timeline
BI Data Science Analyst
Andor Health
09.2022 - Current
Data Analyst
BRT Fashions
09.2019 - 05.2020
Master of Science - Data Analytics
University Of Central Florida
Bachelor of Science - Computer Science Engineering
Sri Krishna College of Technology
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