Quant Science

Building the future of quantitative finance education.

Co-Founder

Business Science

I help data scientists learn how to apply enterprise-grade machine learning in business & finance.

Identified gap in the market for data science courses that teach applied skills to solve real world business problems that led to multimillion dollar business

Scaled business to 3000+ students in first 3-years

Increased revenue 20% Year-over-Year

Used NLP and predictive lead scoring to segment email list leading to 30% subscriber growth

Sample Project: Pricing Recommendation Application (R, Shiny) 

And I teach all of these skills in my R-Track data science program: https://university.business-science.io/p/5-course-bundle-machine-learning-web-apps-time-series

Founder

Bonney Forge

Used predictive analytics to grow sales from $3M/Year-Over-Year to $15M/Year-Over-Year (500% increase)

Created a SQL database that stored leads

Trained technical sales staff to use the database for logging leads and requests for quotation

Applied predictive analytics to score leads & focus on highest likelihood of purchase (LOP)
Resulted in 5X increase in sales revenue

Director of Product Engineering & Market Development

Uncovered unmet demand through analysis of Technical Sales quotations leading to $6M Year-Over-Year business

Reviewed sales inquiry data on missed projects

Uncovered a pattern on projects with short lead times needing specialized products

Developed plans for Fast-Track Program & pitched program to CEO & VPs for buy-in
In first year, Fast Track generated $6M in revenue

Manager of Sales Engineering

Manages the Product Engineering Department, a team of engineers, designers, and document control personnel.
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HIGHLIGHTS:

► Led cross-functional project on key design change to improve fugitive emissions as a result of changing industry and EPA requirements. Design change affected core forged steel valve product line. Led team of senior managers in Operations, Purchasing, and Sales/Marketing. Transition occurred seamlessly with zero impact to customers. (ref. Valve Project Database and Analytics Implementation Project)

► Transitioned group from a support role within the organization to a project management-focused role. Increased efficiency of support functions through process improvement. Re-engineered processes, and developed standard operating procedures (SOPs).

► Aligned projects with strategic and organizational goals. Measured project success based on schedule and budget goals. Held individuals accountable for success of projects, which translated into exceptional performance.

► Oversees Document Control & CAD Management (Adept software) and Document Creation (product literature, videos, etc). Leveraged team's skills with SolidWorks and Adobe Creative Suite to develop media in-house.

Manager of Product Engineering

Bechtel Plant Machinery, Inc

Increased project management responsibilities within the Valves & Auxiliary Equipment department. Received two strategic business awards for leading a high-profile engineering project and response to a highly visible field issue.

Engineer II - Valves & Auxiliary Equipment

Project manager for engineering and design of manually-operated gate, globe, and check valves used within the primary propulsion system of Navy nuclear aircraft carriers and submarines. Primary responsibilities were to manage engineering projects and respond to field issues. Held a DOE L security clearance.

Engineer I - Valves & Auxiliary Equipment

I love data science. But, my story is a bit different. 

I began as an Excel-Guru / Mechanical Engineer. Not a traditional background for a data scientist by any means. 

I used Excel until I reached its limits. 

I found R, and the rest is history:

- I began learning R, which led to applying data science to business 

- By applying data science, my team went from $3M/year to $15,000,000 per year

- I began consulting, which led to trainings all over the world

- I found my passion for teaching, and made a company out of it (Business Science!)

Since finding data science, I haven't worked a day in my life. It's been amazing. 

Let me know if you'd like to learn R, Python, or just want to chat data science.

Matt Dancho

Amazon

Business Intelligence Engineer II

Koch Industries

BI Developer

Consultant

Associate Consultant

MAQ Software

Power BI Developer

Mindtree

I am basically working on the Microsoft Business intelligence stack which includes developing packages in SSIS and developing reports in SSRS and Power BI. I also work on developing reports in Panorama Necto reporting tool.I am always eager to put my learning into implementation and is always ready to learn new tools as learning is a never ending process and to progress professionally one should always have updates skill set.

Senior Engineer

Software Engineer

Amazon leverages the expertise of this Business Intelligence Engineer II to build and optimize AWS-based data pipelines and BI solutions. Proficient in Amazon Web Services, AWS Glue, and Amazon S3, they contribute to data-driven decision-making by facilitating robust reporting and analytics processes. Their collaborative work ensures seamless data integration and transformation to support business goals.  

With over eight years of BI experience, they specialize in Power BI development with strong DAX calculation skills and proven capabilities in ETL processes using SSIS and SQL Server. Their mission is to empower teams with efficient, scalable BI tools while maintaining a focus on innovation and operational excellence.

taplio

The Battle

Matt Dancho

Aishwar Chandra

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