Prestige Financial Services

Key Accountabilities:
● Responsible for providing galvanizing leadership to a team of data scientists, a team of data analysts, and a team of BI developers effectively developing their capabilities and expanding their responsibilities
● Relied upon to seamlessly collaborate with CFO and Pricing Committee to develop and implement our pricing strategies
● Depended upon to manage production machine learning models ensuring targets business objectives are met
● Proficient risk counterpart for the originations committee, servicing committee, pricing committee and executive credit committee

VP of Data Science & Analytics

Key Accountabilities:
● Responsible for providing galvanizing leadership to a team of data scientists and analysts, effectively developing their capabilities and expanding their responsibilities
● Relied upon to seamlessly collaborate with CFO and SVP of Structured Finance to transition the ALLL (allowance for loan and lease losses) to follow CECL (current expected credit losses) guidelines
● Depended upon to manage production machine learning models ensuring targets business objectives are met
● Proficient risk counterpart for the originations committee, IT steering committee and executive credit committee

Key Accomplishments:
● Engineered the development and deployment of four machine learning credit scoring and pricing model reducing vendor costs by over $1M per year
● Supervised the creation of an NLP model used to monitor collectors text messages for compliance violations; monitors 2.9M text messages per year, 73% decrease in potential compliance violations
● Mentored a direct report in the creation of enhanced net loss forecasting models using state of the art machine learning and natural language processing models; reduced error rate from 30% to 5.5% at time of funding
● Created a book value prediction model that predicts the book value of a vehicle with an error of 7%.  Used to populate the book value of vehicles on the inventory page of our new dealer portal.  Pulling the actual value for each dealership and all vehicles on their lot would cost roughly $120,000 per year.

Director of Analytics

Key Accountabilities:
● Responsible for accurately developing and monitoring new credit underwriting models to approve applicants
● Relied upon to create or improve departmental reporting capabilities, effectively educating stakeholders with data-visualization and predictive modeling

Key Accomplishments:
● Orchestrated process improvements including the removal of an outdated secondary pricing system; System decisioning increased from 77% to 88%; Approval Rate increased from 28% to 32%
● Innovated cumulative net loss forecast improvements; Old method = loss timing curve only; New method = combination of loss timing curve, regression, probability of default/exposure given default/loss given default
● Championed monthly net loss projection improvements by transitioning from using static pools and roll rates to an ARIMA model, which resulted in decreasing MAPE from 22% to 8.5%
● Successfully distilled Risk Summary into a focused presentation of application statistics, monthly loss projections, vintage loss projections, recovery performance, early performance summaries, and collections statistics
● Consistently received annual promotions, from Risk Analyst I to Risk Analyst II, then Risk Analyst III, and most recently into Vice President role

Risk Analyst

1776 Faux Farmhouse

Key Accountabilities:
● Responsible for maintaining websites, developing content for our newsletters Upgrade Your Builder-Grade and The Saturday Social, and providing analytical support for all social media platforms
● Relied upon to seamlessly collaborate with brand managers ensuring that deliverables are met and that contracts are executed as required
● Depended upon to meet key business objectives: growing company revenue, providing areas for audience growth, & expanding into new product areas

Key Accomplishments:
● Helped grow our social media audience from 9k on Instagram to over 119k followers by using machine learning and content analytics; resulted in 20.7M impressions and an average daily reach of 44.92% in 2022
● Developed and released the 1776 Faux Farmhouse website complete with 2 DIY courses and future courses in development
● Engineered growth for our newsletter – Upgrade your Builder-Grade – from 200 subscribers to 5k subscribers by using automation, a/b testing, and website analytics
● Encouraged growth on TikTok going from 0 to 140k followers using the same content analytics strategy used for Instagram; resulted in 6.4M views and 250K engagements in 2022

Co-Founder

Brigham Young University

• Teaching Assistant for Stat 462: Quality Control and Industrial Statistics
• Teaching Assistant for Stat 512: Stat Methods for Research 2

Teaching Assistant

• Research on belonging among junior high students using cluster analysis

Research Assistant

Springville Dentistry

• Filed and pulled patient charts for the following day
• Filed insurance paperwork
• Performed lab work on cad cam machine
• Made crowns

Office Assistant

Riverwoods Surgery Center

• Made purchases of medical supplies while adhering to a budget
• Analyzed the cost of surgeries and looked for areas for improvement
• Stocked medical supplies

Assistant Purchasing Manager

VP Analytics | 145k Instagram | 145k TikTok | I teach creators how to grow their business using analytics.

Hey, I'm Michael 👋🏻

I'm an executive by day and DIYer by night! Together with my wife Nicole Francis we've built 1776 Faux Farmhouse into a community of over 250,000 people. We've been in your shoes and know what it's like to build an audience.

Our newsletter, The Saturday Social, shows you our secrets. It's a behind the scenes look at 1776 Faux Farmhouse and shows you exactly how we grew our community using analytics.  

I've always been a huge fan of data science and analytics. From the minute I started working in finance I knew that data could transform companies if used properly. And so far it has!

My Results as an Executive:
● Orchestrated the development of internal AI-powered credit scoring and pricing models; over $1M per year reduction in vendor costs, $6.6M projected net loss saving per year, 100% increase in approval rate
● Supervised the creation of an NLP model used to monitor collectors text messages for compliance violations; monitors 2.9M text message per year, 73% decrease in potential compliance violations
● Spearheaded partnership with Zest AI to conceptualize and deploy the 1st AI-powered credit scoring model in the subprime auto lending industry

In 2020, while completing my Masters in Data Science at Northwestern, Nicole and I were slowing building a community while tackling DIY projects around our home.  

In the beginning things were slow, between August 2019 and October 2020 we grew to 5500 followers.

During that time period we tried strategies involving follow for follow, engagement communities, and tours. It doesn't work! It's all fake... There is no hack to building a community except your content.

In October of 2020 Nicole and I had an epiphany. If large corporations use analytics to become better, why can't we?

We went all in on data, data science, and analytics to improve our content. We even used machine learning to predict what content would perform best with our audience. 

And from that point, things have exploded!

Our Results at 1776 Faux Farmhouse:
● 120k+ people following our DIY inspiration on Instagram
● 140k+ people following our DIY inspiration on TikTok
● 50M+ impressions in the last 2 years
● 7X'd revenue in 2022 compared to 2021

If you want to learn more about how we did this, you can sign up for my newsletter.

THE SATURDAY SOCIAL

Get 1 actionable stat every Saturday to launch, improve, & grow your social media using analytics in less than 5 minutes! Join 5,000 other enthusiasts and content creators in this broadcast.

👉🏼 GO HERE: https://creators.1776fauxfarmhouse.com/previous-newsletters/

Michael Francis

Steve Cyr is the CEO of MainOne, the preferred agency for influencer marketing and campaign management for many of your favorite creators and brands! Get behind-the-scenes looks at the good, bad, and in-between of working in the creator economy.

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