About Annu Priya

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    United States
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About me

I am a data analyst at Edwards Lifesciences, where I optimize data-driven decision-making for the THV Medical Affairs team. I use various data sources and tools, such as Amazon Redshift, ArcGIS, and Tableau, to provide actionable recommendations and visualizations for business stakeholders. I also collaborate with cross-functional teams to support the design, execution, and analysis of clinical trials and studies for the transcatheter heart valve portfolio.

In addition to my current role, I am pursuing my master’s degree in data science at University at Buffalo, where I am expanding my knowledge and skills in computer science, machine learning, and data engineering. I am also a research aide for the US Department of Energy, where I conduct data analysis and modeling for a project on fracking in various geographies of the US. I have over 7.5 years of experience in data analytics across diverse industries, including e-commerce, fintech, consulting, and electronics, where I have contributed to the achievement of organizational goals through analytical excellence and industry expertise. I am passionate about leveraging data to solve complex problems and create value for the society. I am actively looking for full-time opportunities in data analytics where I can apply my skills and learnings to make an impact.

Education

Experience

  • 2023 - 2023
    Edwards Lifesciences

    Data Analyst Intern

    • Customized ETL pipelines to reduce the overall runtime by over 65%.
    • Utilized DAX expressions to create dynamic calculations to build interactive reports in Power BI for stakeholder management.
    • Implemented Dataverse to make the Power BI dashboards efficient by 70% to track physician expenditures.

  • 2020 - 2022
    Amazon India

    Business Intelligence Engineer

    • Created dashboards on Power BI used by the leadership group of Amazon Customer Excellence Services (ACES) team to track
    the KPIs of contact reduction to forecast annual savings, reducing defects, and minimize the difference in gap-to-goal metric.
    • Developed dashboards on Amazon QuickSight to manage and rectify the defects occurring at different stages of product
    delivery that hamper the customer experience.
    • Implemented an ML model using logistic regression to predict the fraud concessions raised by the same set of users in a
    similar pattern for multipack items with an accuracy of 83%.
    • Performed A/B testing on control and treatment groups to validate projects with statistically significant savings using Minitab
    which improved the customer satisfaction index by 32%.

  • 2019 - 2020
    ZestMoney

    Business Intelligence Analyst

    • Gathered business requirements, designed, developed, and thoroughly tested dashboards on Tableau for the organization
    and delivery to venture capitalists, investors, and credit score reporting.
    • Deployed a credit score evaluation (Z-score) and prediction system to assess the creditworthiness of potential borrowers and
    assess their loan repayment capacity and minimizing the number of loans defaulters.
    • Migrated queries from MySQL to Redshift to reduce the run time of scheduled jobs by 60%.
    • Optimized tables on Redshift to improve the performance of cron jobs by using distribution key, sort key, trigger, and lambda
    functions on AWS Glue.

  • 2018 - 2019
    Aarete

    Business Intelligence Developer

    • Developed predictive models for demand forecasting, inventory optimization, and supply chain management.
    • Supported the supply chain requirements of hospitality clients by analyzing the seasonality trends for inventory and surfaced
    actionable insights for the stakeholders on Tableau dashboards.
    • Led a team of 5 members to train them on SQL, Tableau and implement best practices to track daily average users, click
    through rate, customer churn rate and provided recommendations for retention of customers.

  • 2015 - 2018
    Honeywell

    Data Analyst

    • Acquired Six Sigma Green Belt Certification for a cleanup task involving validation of different types of databases.
    • Extracted, transformed, and loaded data from various sources into Tableau for analysis and visualization.
    • Performed data modelling to improve the data quality and performance which resulted in the reduction of the query
    execution time by 70%.

Skills