Mar 2023 – Present · 3 yrs 2 mos · Bengaluru, Karnataka, India · On-site

• Led the analysis and visualization of large datasets to identify
• key business trends and provide actionable insights that
• improved operational efficiency.
• ➢ Created and maintained interactive dashboards using
• Tableau to track KPIs and business performance for senior
• leadership.
• ➢ Designed and implemented automated data pipelines using
• Python and SQL.
• ➢ Conducted ad-hoc data analysis for various departments
• including marketing, finance, and operations, helping teams
• to make data-driven decisions.
• ➢ Worked closely with stakeholders to understand business
• needs and presented findings and recommendations in easyto-understand reports.
• ➢ Conducted regression analysis and A/B testing to evaluate
• marketing campaigns and optimize strategies, resulting in a
• increase in conversion rates.
• ➢ Utilized Excel and SQL for data extraction, cleaning, and
• manipulation of datasets for detailed analysis.
• ➢ Analyzed data from multiple sources (internal databases,
• surveys, and third-party APIs) to derive actionable insights,
• supporting decision-making for business development and
• marketing teams.