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

Pixida Portugal

As an Identity Access Management (IAM) Integration Specialist at Pixida, I play a pivotal role in supporting the integration of IAM IT systems for a premium partner in the automotive industry. Currently, I work as a Product Owner with an international and intercultural team of technicians, engineers, and managers. I oversee the IAM support team, ensuring alignment with stakeholder needs and project goals. Furthermore, I also operate as an IAM IT Support Engineer, analyzing and resolving errors to ensure system integrity and performance.

Engineering Consultant

INESC Technology and Science - Associate Laboratory

As a Research Fellow at INESCTEC, I specialize in developing predictive classification supervised machine learning models for the detection of plant bacterial diseases. My work as an FCT Doctoral Fellow (SFRH/BD/146564/2019) revolves around the theme of "Detection and early identification of plant diseases caused by bacteria based on proximal sensing from a precision agriculture perspective."

I am an integral member of CRIIS (Robotics in Industry and Intelligent Systems) within the TRIBE lab (Laboratory of Robotics and IoT for Smart Precision Agriculture and Forestry), where I contribute to cutting-edge research initiatives in the field.

Beyond my research contributions, I actively engage in fostering diversity and inclusion within INESCTEC as a member of the Advisory Group of the Diversity and Inclusion Commission. Additionally, I serve as a dedicated member of the Intercultural Ambassadors Network, promoting cross-cultural understanding and collaboration within the organization.

Research fellow

Portuguese Women in Tech

I had the privilege of being part of the PWIT Women's Mentorship Program, a transformative five-month initiative that focused on empowering female tech students and recent graduates. Through this program, participants received tailored guidance and support for both their professional and personal development journeys.

To learn more about this impactful program, visit the PWIT Women's Mentorship Program website: https://www.portuguesewomenintech.com/mentorship3

Mentee

ISAGRI

During my tenure at ISAGRI, I undertook a multifaceted role encompassing various responsibilities within agricultural management and technical support. This included:

Reception, analysis, and processing of databases from both livestock and agriculture farms.
Oversight of plant parcels, including recording interventions, preparing field notebooks, and analyzing economic outcomes.
Supervising machinery and manpower, as well as managing wineries.
Managing reproductive and health records for diverse animal species.
Monitoring and analyzing software and hardware associated with meteorological stations marketed by the company.
Assisting in the interpretation of NDVI maps for agricultural purposes.
Translating software and associated documentation from French to Portuguese.
Providing customized technical support for various software developed by the company.
Cultivating customer loyalty and assessing customer satisfaction through calls or video conferences.

IT Technician

A cientista agrícola

As a Scientific Contributor, I served as an agricultural scientist, dedicating my efforts to the elaboration of articles covering various topics within the realm of agriculture. My responsibilities involved in-depth research and the development of current content, meticulously crafted to be comprehensible to a wide audience, including those without professional experience in agriculture but with a keen interest in the subject matter.

In this role, I contributed to bridging the gap between scientific knowledge and public understanding, ensuring that complex agricultural concepts were communicated effectively. Through my articles, I aimed to disseminate valuable insights and foster a deeper appreciation for agriculture among readers from diverse backgrounds.

Sientific Contributor

Laboratory of Palynology of the Faculty of Sciences of the University of Porto.

Conducted research for the Master's thesis on 'Phenological forecasting models and pollen quality of Vitis vinifera L.', focusing on phenological modeling of the grapevine, climatological data modeling, and statistical analysis.

Published articles on topics related to the pollen quality of the grapevine and phenological modeling in predicting grapevine flowering.

Presented oral communication and contributed to the publication of the book of the 10th Meeting of Young Researchers at U.PORTO (IJUP), presenting a phenological model to predict the timing of Vitis Vinifera L. flowering.

Researcher

WiseCrop

Participation in the 50th AGRO (International Fair of Agriculture, Livestock, and Food). Communication and contact with the public.

Brand Promoter

Facing, Lda

Promoter of Portuguese DOP wines. Organization of wine tasting actions.

Sales Promoter

Cantinho das Aromáticas

During my time as a trainee at Cantinho das Aromáticas, I coordinated activities related to volunteering, including the reception and accompaniment of volunteer groups. 

Additionally, I played a key role in implementing practices related to the propagation, planting, harvesting, and post-harvesting of aromatic and medicinal plants.

I also completed a thesis for my Degree in Engineering Sciences, focusing on the topic of Social and Therapeutic Horticulture.

Moreover, I had the opportunity to present communications with publications in the proceedings of congresses, where I shared insights on the impact of horticulture practices on the quality of life of volunteers at Cantinho das Aromáticas.

Trainee

PhD 🎓 Engineer 🌱 Data enthusiast 👩‍💻

I'm an Engineer and Ph.D. from the Faculty of Sciences of the University of Porto. I worked in a software enterprise and conducted my scientific research at INESC TEC (Institute for Systems and Computer Engineering, Technology and Science), developed my passion for the IT world 🎓💼💻

I developed several AI (Supervised ML) models for early plant bacterial disease diagnosis. In this regard, I performed applied predictive classification modeling both using R and Python features. Also, I had developed different phenological models to predict the timing of developmental events in plants 👩🏽‍💻🥼🧫🌱 

If you are curious about these works please check my publications on ORCID, on CIÊNCIAVITAE, and LinkedIn 🔗

I enjoy sharing experiences and knowledges with other professionals and I am always interested in establishing new contacts 📧

taplio

The Battle

Matt Dancho

Mafalda Reis Pereira

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