Collaborated with cross-functional business teams to create Power BI dashboards and reports, providing actionableinsights across multiple business functions, leading to a 15% increase in operational efficiency.Analyzed key performance marketing metrics such as CAC, ACOS, and LTV, providing recommendations that optimizedkey marketing campaigns and reduced CAC by 20%.Built customer cohorts to understand smartwatch purchasing behavior using Noise Fit app data, predicting… Show more Collaborated with cross-functional business teams to create Power BI dashboards and reports, providing actionableinsights across multiple business functions, leading to a 15% increase in operational efficiency.Analyzed key performance marketing metrics such as CAC, ACOS, and LTV, providing recommendations that optimizedkey marketing campaigns and reduced CAC by 20%.Built customer cohorts to understand smartwatch purchasing behavior using Noise Fit app data, predicting upsellingopportunities for premium smartwatches, resulting in a 10% increase in upsell conversions.Developed a data model for sentiment analysis of customer complaints, identifying core product issues and improvingNPS by 12% and CSAT scores by 18%.Utilized SQL and Visual Basic for Applications (VBA) for data extraction and transformation. Show less

Utilized big data technologies to handle large datasets, automating data extraction processes by connecting Google BigQuery with Google Sheets, reducing manual data extraction time by 50%.Led initiatives to increase market share for popular private brands "Good Vibes" and "NY Bae"from 5% to 8% within theskincare and makeup category through data-driven strategies.Developed and implemented an attribution model that reduced CPO from 500 to 250 for Facebook and Googlecampaigns… Show more Utilized big data technologies to handle large datasets, automating data extraction processes by connecting Google BigQuery with Google Sheets, reducing manual data extraction time by 50%.Led initiatives to increase market share for popular private brands "Good Vibes" and "NY Bae"from 5% to 8% within theskincare and makeup category through data-driven strategies.Developed and implemented an attribution model that reduced CPO from 500 to 250 for Facebook and Googlecampaigns, cutting marketing costs by 50%.Worked on data modeling, exploratory, and predictive models to optimize revenue generation, contributing to a 15%increase in overall business outcomes.Working on data modelling, exploratory, predictive models to optimize revenue generation and business outcomesCreated pivot tables and charts to analyze financial data, enhancing financial analysis and reporting accuracy. Show less

Partnered with stakeholders to ensure requirements were optimized and in line with business objectives, enhancingproject delivery timelines by 20%.Created dashboards using Tableau and Power BI for tracking business metrics, improving visibility and monitoring of keyperformance indicators, which led to a 10% improvementin project performance.Applied Agile methodology to handle ambiguity and deliver high-quality projects.