Developing a data-driven model to estimate stranded capacity in AI data centers using publicly available industry data. Building a reference dataset from industry reports, research papers, benchmarks, and other public sources. Developing Python-based models to estimate stranded capacity, financial impact, and potential recoverable value. Implementing range-based estimates and sensitivity analysis to assess uncertainty and identify the variables with the greatest impact. Documenting metrics, assumptions, and methodologies to ensure the model is reproducible and defensible

• Worked with HubSpot data sources, performing data cleaning, normalization, and validation to improve data quality and consistency. • Designed and automated reporting workflows within HubSpot to support commercial and operational decision-making. • Built and maintained dashboards and reports focused on performance tracking, lead activity, and operational metrics. • Implemented data automation processes to reduce manual work and ensure reliable, up-to-date reporting. • Collaborated with stakeholders to translate business needs into clear metrics and actionable insights.

Extracted, transformed, and validated large datasets from public sources using SQL and Power Query. Designed interactive Power BI dashboards for stakeholders to track impact indicators and performance metrics. Implemented advanced DA X calculations for trend analysis and performance forecasting. Maintained and documented data models to ensure consistency, accuracy, and auditability (Data Modeling, R eporting Automation)

Designed and maintained Power BI dashboards (daily, weekly) for sales, occupancy, and agent performance, used by Sales, Marketing, and senior management. Automated data refreshes with Power Query and SQL pipelines, reducing manual reporting time by 30%. Delivered actionable insights that accelerated pricing and sales strategy decisions, contributing to higher lead conversion and improved decision-making speed. Developed ad hoc reports and forecasts for executives, supporting monthly strategy reviews. Presented results in cross-functional meetings, translating complex data into clear business actions. Ensured data quality and consistency by building validation steps into ETL processes.

Leading cross-functional teams to deliver enterprise software solutions, improving operational efficiency by 20%.

Managed multiple client websites on W ordPress, improving load times, navigation, and overall search visibility. Conducted G oogle Analytics deep-dives, monitoring C T R , bounce rates, and lead generation to optimize performance. Built campaign performance dashboards and RO I reports, helping stakeholders ad j ust marketing spend. Ran A/ B tests on landing pages and F acebook Ads campaigns, resulting in 15% growth in organic traffic and 12 % improvement in conversions for selected products. Implemented technical SE O fixes and optimized landing pages, boosting search engine rankings.

Analyzed complex datasets to provide actionable insights for marketing strategies and customer retention.