Vindhya Sankapally

• Spearheading the development and implementation of robust analytics systems for Apple-owned apps, enhancing user engagement.
• Collaborating with privacy teams to ensure a remarkable 99.9% data privacy compliance rate, maintaining user trust.
• Led pivotal project ensuring accurate & timely payouts to publishers, resulting in 80% reduction in errors and increased partner satisfaction.
• Collaboratively architecting and implementing advanced analytics systems and data pipelines, achieving a 40% improvement in data quality across all apps.
• Extensively collaborating with cross-functional teams, including engineers, marketing, UI/UX Research, A/B testing teams, QA, Data Engineering, and Data Scientists, accelerating product development.
• Proficiently translated complex data into actionable insights using tools like Keynote and Tableau to inform strategic decisions and product enhancements, facilitating faster decision-making.
• Maintained deep customer engagement, leveraging data-driven insights to enhance user experiences, resulting in notable increases in user retention and engagement.

• Conducted competitive analysis measurement to improve search metrics
• Quantified top-of-funnel activity, enhancing user understanding and shopping missions
• Identified and measured search abuse strategies (catalog, behavioral) to enhance the search relevance algorithm
• Established a human judgments program to evaluate & measure search defects, managing both offshore & onsite content reviewers
• Set KPIs and goals for A/B tests, leveraging voice of customer data
• Created data extraction tools, conducted statistical analysis, and produced reports for senior leadership.

· Processed wireless logs in an ETL pipeline using Hadoop technologies.

· Analyzed large Hadoop clusters to generate reports and gain insights into organizational metric data.

· Collaborated with cross-functional teams to create and maintain critical feedback metrics.

· Provided technical expertise for business reporting and communicated data insights to senior executives.

· Designed and developed a data warehouse to process and store error log data.

· Analyzed error log data to provide actionable insights to cross-functional teams.

· Developed a machine learning classifier to automate mapping customer cases to relevant bugs using customer log data, reducing manual effort significantly.

· Created test strategies for addressing test gaps and conducted customer usage statistics analysis.