Vidyashree Lakshminarasimhan
Data Analysis Strategist @Thermo Fisher Scientific
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WORK HISTORY
Data Analysis Strategist @Thermo Fisher Scientific
Fremont, CA, US
Constructed SQL-based data models to streamline information management, built and optimized workflows with Alteryx for automated Catalog data processing and contributing to a third of the organization’s revenue and saved 70+ hours per month. Leveraged Adobe Analytics for eCommerce site search, delivered actionable insights via MS Excel reports and complex queries (VLOOKUP, Pivot tables) to diverse stakeholders.• Developed ETL pipelines leveraging SQL expertise to augment content organization efficiency by 30%.• Automated filtering and email distribution using Alteryx, leading to saving a couple of hours of work monthly.• Engineered interactive tools using PowerBI and DAX queries for analyzing and filtering 4500+ product categories, providing actionable insights into category performance and recommendations for product category enhancement.• Decreased manual effort by 25% in database operations through Python-based automated data ingestion.• Spearheading several Artificial Intelligence initiatives using copy.ai to automate category description generation, potentially saving 6 months and $200K in rewriting costs for over products.
EDUCATION
Anna University
Bachelor of Technology - BTech, Information Technology
University of Washington
Master of Science - MS, Information Management (Specialization in Information Architecture, Data Science)
ABOUT VIDYASHREE LAKSHMINARASIMHAN
Dynamic and results-oriented Analyst with a strong foundation in conducting data analysis, delivering actionable insights, and driving impactful business decisions. Skilled in identifying growth opportunities, optimizing product features, and enhancing user experiences through advanced analytics. Experienced in SQL, Python, Alteryx, Power Automate and data visualization tools such as Tableau and Power BI. Committed to leveraging data-driven analysis, automation to optimize performance metrics. Adept at handling large datasets, performing ETL processes, and utilizing statistical methods to support business decisions. Capable of determining analytical techniques, evaluating assumptions, and communicating insights for accuracy and accessibility.I graduated from the University of Washington with a Master of Science degree in Information Management, specializing in Data Analytics and Data Science. I am passionate about learning and improving my skills, and I enjoy challenges that push me to think out of the box. I strive to make quality-driven decisions and to contribute to the team and the organization\'s goals. My specialties include Data Analysis, Data Visualization, Knowledge graph and Ontology Development, Generative AI and Chat Bot Modelling, Data Automation.
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