I am a highly analytical and results-driven data professional with a strong foundation in SQL, Python, mathematics, machine learning, and data visualization. I have extensive experience transforming complex data into actionable insights that support business decision-making. My expertise spans programming, data science, and project management, enabling me to deliver impactful solutions across various industries.
Throughout my career, I have successfully managed and led teams, driving operational efficiency and improving customer satisfaction. I have a proven track record of handling high-volume customer inquiries, guiding purchasing decisions, and supporting onboarding and training processes. My leadership experience includes managing project managers and instructors, ensuring consistent delivery and performance.
I have worked on digital signage projects generating significant revenue, negotiating contractor rates, and conducting data-driven strategy meetings to align client requirements with measurable outcomes. My analytical skills have been applied in energy trading, where I utilized SQL and Excel to analyze market data and automate reporting workflows, enhancing decision-making speed and accuracy.
In education management, I have overseen both in-person and virtual instruction, implemented standardized training protocols, and improved student engagement and retention through incentive programs and performance reporting. I am committed to continuous learning, as evidenced by my multiple certifications in data science, deep learning, and natural language processing.
I am passionate about leveraging data to solve complex problems and drive business growth. I am eager to contribute my skills and experience to a dynamic team where I can continue to grow professionally and make a meaningful impact.
Resolve high-volume customer inquiries and complaints by identifying root causes and delivering timely, effective solutions to maintain customer satisfaction. Apply detailed product knowledge to guide purchasing decisions, improving customer experience and operational efficiency. Support onboarding and training of new employees by providing clear process guidance, contributing to faster ramp-up and team consistency.
Led end-to-end digital signage projects generating $625,000+ in revenue by tracking budgets, timelines, vendor performance, and client deliverables. Analyzed project costs, vendor pricing, and resource allocation to negotiate favorable contractor rates across the U.S. and Canada, improving margin efficiency. Managed, trained, and mentored a team of 8 project managers, using performance metrics and workflow reviews to improve delivery consistency and accountability. Conducted data-driven strategy meetings and project kickoffs for 20+ client accounts, translating client requirements into execution plans and measurable outcomes. Monitored project KPIs including delivery timelines, cost variance, and client satisfaction to identify risks and implement corrective actions.
Managed and trained a team of 9 instructors, overseeing both in-person and virtual instruction for up to 60 students daily, while leading the migration to a new online learning platform and implementing standardized training protocols. Tracked enrollment, retention, and revenue performance, securing 50+ new accounts within six months and contributing to 70% of the revised 2021 revenue target by Q2, after achieving the 2020 revenue goal by Q2 2021. Produced and distributed monthly performance reports and newsletters analyzing student progression, engagement, and operational updates to inform instructors and stakeholders. Maintained billing and account management for 120 students, monitoring payment trends and implementing incentive programs and quarterly events to improve engagement and retention.
Analyzed and executed multiple energy trading strategies across ISO markets using SQL and Excel, supporting data-driven asset allocation and risk decisions. Queried, cleaned, and analyzed market and pricing data to evaluate node-level performance and strategy effectiveness. Integrated weather data (wind forecasts, weather maps) into market analysis to identify short-term trading opportunities. Built and maintained Excel dashboards tracking historical P&L, volatility, and performance metrics by node and strategy to enable rapid decision-making. Automated recurring SQL queries and reporting workflows, significantly reducing manual analysis time and enabling faster, more reliable decision-making.
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