ABEGAIL FONTANILLA

Analyzes buyer data, customer segmentation (e.g., location, age, top-purchasing styles), and Instagram Insights to identify high-value buyers, informing targeted marketing strategies.

Creates, targets, and optimizes Meta/IG Ad campaigns based on demographic data to acquire new buyers for upcoming product launches.

Manages the Instagram grid/story promotional sales funnel using photography assets to enhance social commerce strategy and user engagement.

Tracks conversion rates, ad ROAS, and drop-day revenue to continuously refine audience targeting and promotion strategies, maximizing campaign effectiveness.

Reduced a 4-hour data collation task to under 10 minutes (96% efficiency gain) by building and implementing a Python automation script.

Conducted R&D for a Python tool to automatically check worksheet answers, testing different LLMs (OpenAI, Gemini) and analyzing results with the team.

Co-authored Python scripts using Google AI Studio to generate statistical visualizations, like histograms, for problem templates.

Authored and refined CLI-based AI prompts that auto-generate TSV code blocks, significantly improving content development efficiency.

Developed and optimized over 4,000 dynamic and interactive problem templates using the Mathyons scripting language, implementing quality assurance checks for consistency and accuracy.

Co-authored and refined math lessons and worksheets using XML-based tools, ensuring alignment with educational standards and pedagogical effectiveness.

Automated the store pullout process with a custom VBA solution, reducing a half-day manual task to under 10 minutes.

Developed an automated inventory replenishment template in Excel, reducing a 2-hour task to just 10 minutes.

Designed and built dynamic sales dashboards and inventory forecasting models, providing actionable insights to improve stock management.

Implemented several data solutions for e-commerce analytics using Excel and VBA within a high-impact, one-month project timeframe.

Reduced a 4-hour data collation task to under 10 minutes (96% efficiency gain) by building and implementing a Python automation script.

Conducted R&D for a Python tool to automatically check worksheet answers, testing different LLMs (OpenAI, Gemini) and analyzing results with the team.

Co-authored Python scripts using Google AI Studio to generate statistical visualizations, like histograms, for problem templates.

Authored and refined CLI-based AI prompts that auto-generate TSV code blocks, significantly improving content development efficiency.

Developed and optimized over 4,000 dynamic and interactive problem templates using the Mathyons scripting language, implementing quality assurance checks for consistency and accuracy.

Co-authored and refined math lessons and worksheets using XML-based tools, ensuring alignment with educational standards and pedagogical effectiveness.

Conducted comprehensive financial data analysis in Excel to guide clients with their investment planning and cash flow projections, optimizing financial outcomes.

Consistently achieved 100% of sales quota by providing data-informed advice and building strong, trust-based client relationships.

Managed a diverse client portfolio, providing tailored financial solutions and fostering strong, long-term relationships to drive client retention and satisfaction.