Provide regular and ad-hoc analytics for the Content department: ● Identifying opportunities: Increased average user engagement time by 23% by identifying white gaps in the content based on user metrics and proposing a strategic shift towards higher LTV content. ● Forecasting, Collaboration: Justified the purchase of the content later becoming top-viewed shows on the platform by developing forecasts predicting potential ROI of 20% in collaboration with a Finance team. ● Ad-hoc queries: Conducted ad-hoc SQL queries for the content acquisition team (weekly, monthly, yearly data) by analyzing DAU and new user engagement metrics. ● Python: Ensured competitive content supply vs key competitor (IMDB analog) by providing weekly recommendations on top content to purchase, integrating diverse data sources via Python. ● Presentation skills: Presented weekly reports to the Content department and the content team providing data on key business drivers, trends, and performance indicators.

● Performed analysis of IoT product usage data, Identified key user trends, and provided recommendations to enhance UX by analyzing user activity patterns using statistical methods and data visualization techniques in R.

● Automation: Cut financial report preparation by 40% and improved data visualization for executives by developing new metrics and graphs, as well as automating Excel formulas in PowerPoint presentations. ● Power BI, Visualization:: Automated quarterly KPI reports for C-level stakeholders by creating a series of interactive Power BI dashboards from scratch enabling real-time mobile access to the data.