•Developed new SAS processes for ROAS (Return on Ad Spend) analysis, significantly reducing reporting time by up to 30 hours per week and documenting workflows for future team members.•Developed automated reports using Power BI, Python, and MySQL, reducing manual intervention and saving 20 hours per month for an analyst.•Developed machine learning models to segment customers based on sales data, enabling clients to predict future customers and increase sales from specific groups, making insights easy to understand for non-technical people also identified relationships between data points and (client) business outcomes and behaviors for statistically performing relevant analytics (Regression Analysis and Clustering mostly) on existing data.•Currently working on a tool to calculate the flow rate for ozone generators based on the oxygen supply rate and generator size, simplifying the process for clients to achieve their desired ozone output. This tool aims to save clients up to 80% in time spent on third-party calibrations and up to 85% in costs.

•Conducted comprehensive company analysis utilizing statistical regression models and SPSS software, identifying effective potential partners to enhance our company's profitability through informed pitching decisions.•Implemented scheduled analysis which includes data verification and data correction processes that has resulted in an 85% reduction in data errors leading to improved data quality using one or more databases, data visualization tools, and CRM tools for data management and analysis of receipts, registrations, and financial assistance.•Successfully managed end-to-end client engagement, from initial pitch to project completion, cultivating and maintaining long-term customer relationships, resulting in increased business growth and project success.•Conducted frequent interactions with team members, IT personnel, the user community, and others on an ongoing basis to ensure accurate identification and delivery of business requirements and developed Python scripts for data cleaning, analysis, and automating day-to-day activities.

•Created my first DIY Shopify website from scratch, scaling it to $4,000/month profit using Facebook and Google ads; managed end-to-end operations including coding, SEO, product listings, and performance metrics analysis.•Independently handled all business aspects such as customer support, manufacturer negotiations, logistics, returns, and shipping, demonstrating strong multitasking and pressure-handling capabilities.•Managed a team of 6 in marketing, logistics, customer service, and product development, generating $25,000 revenue within the first 4 months and growing the brand's online presence through social media campaigns and SEO strategies.

•Spearheaded data analysis initiatives at AT&T, leveraging statistical models and machine learning algorithms to optimize fleet operations, resulting in a projected potential savings of millions.•Collected and analyzed data to produce meaningful reports in support of special projects and requests from partners and AT&T leadership.•Partnered with the support organization to provide training, support and technical assistance to operation team and end users as necessary.