• Built a python lead generation web scraping platform to extract B2B company information and relevant sales contacts. Offerings consist of lead generation, data enrichment and predictive analytics services, primarily tailored to the equipment leasing industry.• Develop async programming scrape workflows, natural language processing automated qualification of leads, regex logic to extract key information, Streamlit frontend interface, and leverage RESTful APIs to integrate third party services. Demonstrate python software development mastery by adhering to OOP best practices.• Provide custom lead scoring consultation services based on client prioritized data fields.• Exhibit sales and leadership intangibles via creative prospect outreach efforts. Lead a team of 2 interns to build out ad-hoc web scraping requests offering.

• Teach Machine Learning, Tableau, conceptual data visualization best practices, RStudio, and statistics to 70 undergraduate students of all studies and majors, with six semesters of teaching experience.• Employ interpersonal skills to communicate content effectively. Teach development of critical thinking and research methodologies to answer data driven questions.• Earn an average score of 4.75 / 5 for IDEA evaluation of teaching effectiveness.• Classes taught include Machine Learning Fundamentals, Introduction to Data Science & Analytics, Big Data, Designing Graphs Seeing Numbers, Statistics and Sports, and Introduction to Data Visualization

• Lead the construction, validation, and delivery of spend reporting for the Global Procurement Group. Leverage SAP, Python, and Excel to automate data workflows and communicate key insights to business stakeholders for several initiatives, from calculating chemical purchase price variance to FMC’s sustainability efforts. • Spearhead reclassification of chemicals/materials to proper categorization, and normalize spend buckets for quarter over quarter, year over year comparability analysis.

• Predict lead quality based on company level attributes, sales rep activity, credit risk evaluation and vendor interactions. Develop an automated lead workflow to ensure the highest quality opportunities are assigned to the appropriate sales reps based on lead score and opportunity size aligned with rep experience and industry expertise.• Write SQL queries, stored procedures and engineer ETL automations to build lead quality scoring system and uncover data insights to guide sales strategy, data enhancement and lead generation.• Leverage machine learning to develop natural language processing algorithms, extracting unstructured Salesforce data for feature engineering, predicting sentiment (positive, negative, neutral) of sales rep/vendor interactions.• Advise key stakeholders by leading biweekly meeting of the company president, several vice presidents, and sales managers regarding strategies to maximize sales effectiveness via data-driven decision making.• Coach a team of five direct reports, exercising ability to recognize strengths, refine emotional intelligence, delegate tasks, and unify team with leadership abilities to maximize their individual growth potential and productivity. • December 2020 Most Valuable Player (MVP) in recognition of “outstanding, above and beyond” contributions.

• Built clinical Tableau dashboard solutions for physician and administrative end users, specifically CABG, COPD and Thrombosis dashboards to visualize key performance indicators specific to each procedure.• Manipulate and preprocess terabytes of unstructured clinical data using SQL Server to prepare for reporting analysis. • Data governance committee member providing input on issues of data quality and data source integration.