Manage a dedicated team of associates that service every department with requests of varying complexity.
Quantitative advisor for C-Suite executives with respect to decisions centered around company growth and process development/improvement.
Created several real-time alerts for fraudulent activity during underwriting involving development of 'real-time' data pulls from our Snowflake data warehouse and custom conditional scheduling features in Sigma.
TEAM LEAD, DATA ANALYTICS
First Help Financial
01.2024 - 06.2024
Transitioned into a managerial role for our junior associate and assisted in his development and understanding of our complex data warehouse.
Became co-product owner of Sigma for FHF - Administrator permissions, regular meetings with Sigma representation, direct contact within FHF for all things BI-related.
Developed incentive structure with Executive VP of Sales to drive a higher quality of follow-ups within our Inside Sales department geared towards improving our win rate and remaining competitive.
SENIOR DATA ANALYTICS ASSOCIATE
First Help Financial
01.2023 - 12.2023
Created and maintain a prioritization algorithm for our Outside Sales team to tell them what dealerships they should be visiting and why.
Began dealing with more risk-related data as well as creating a report for our Underwriting team to allow them to monitor individual dealers for potential fraud and/or concerning performance trends.
Lead contributor on Sigma, a growing BI tool that we signed with in Summer '23.
DATA ANALYTICS ASSOCIATE
First Help Financial
06.2021 - 12.2022
Wrote complex SQL queries to generate datasets for recurring Microsoft Excel reports centered around Loss Mitigation, Sales, and Financials.
Became primary user/subject matter expert for Velocity, our Tableau-base BI tool serviced by Experian that provided us insights into competitor data.
INDEPENDENT DFS AND SPORTS BETTING SPECIALIST
Self-Employed
East Amherst
03.2020 - 06.2021
Utilizing various data mining techniques to create and maintain a unique dataset containing results of NBA player prop bets at FanDuel Sportsbook.
Analyzing and exploiting inefficiencies in the NBA player prop market through the use of pivot tables and data visualization.
Establishing statistically significant parameters that most prominently correlate with higher DraftKings Points (DKP) output for NBA players on a nightly basis through data mining and machine learning models in Python.
Utilizing this information to partake in low stakes daily fantasy contests on DraftKings within the NBA, MLB, NFL, etc.