• Provide strategic advisory services to SMEs, focusing on data-driven decision-making and sustainable growth.• Engage in pro bono projects to develop a portfolio showcasing measurable contributions to local business success.• Develop and implement data pipelines, including data warehousing, ETL processes, and predictive analytics, having reduced operational costs by 10%.• Identify business trends in marketing, sales, and labor datasets, having resulted in a 12% increase in customer retention for a retail client.• Stay updated on industry trends and advancements in data analytics to benefit clients.

Met 100% of project deadlines and objectives every year by efficient communication and cross-collaboration at a fast-paced technology & software development company.Introduced and implemented data warehousing initiatives and fully managed the ELT/ELT, analysis, and BI pipeline.Responsible for mining and cleaning all new data sets for business intelligence.Developed company health monitoring dashboards using Power BI, including finance, operations, customer support, and specialized statistics. Developed optimization algorithms for job queuing in Python, increasing production capacity by 31%.Created numerous data-focused SOP for collection and compliance.Developed a predictive modeling algorithm in Python to forecast customer support ticketing demand.Used web scraping and data mining to perform sentiment analysis and feature abstraction models to analyze customer feedback on public review sites and internal ticketing documents.Performed RCA supply chain audits to identify the need for better data insights and implemented a new barcode tracking system to collect production labor data.Directed sales and marketing strategy through statistical insights and forecasting, leading to efficient client acquisition and reduced costs.Collaborated with various departments (marketing, sales, product, finance, support) to integrate data solutions into business processes.

• Conducted market analysis and generated data reports to inform strategic decisions across various industry sectors.• Optimize sales cycles, managed inventory, and improve labor efficiency, having resulted in a 20% increase in overall business performance.• Developed tailored business architectures and strategic plans to enhance operational effectiveness.• Utilized Python for predictive modeling, forecasting, and analysis, having improved accuracy of sales forecasts by 30%.• Used analytical tools like SQL, Excel, and Power BI to provide actionable insights and recommendations based on client needs.• Collaborated with clients to identify KPIs and create custom dashboards for real-time monitoring.

• Conducted in-depth analysis of customer feedback and interaction data to identify trends and actionable insights.• Developed and maintained performance dashboards to track key customer experience metrics and VoC KPIs.• Collaborated with cross-functional teams to design and implement strategies aimed at improving customer satisfaction, VoC, and retention.• Utilized workflow management systems to streamline processes and enhance operational efficiency.• Prepared detailed reports and presentations for senior management, highlighting key findings and recommendations for improvement.• Awarded multiple times for excellence in improving customer experience through data-driven initiatives.