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

MarketLytics

Includes:
✔Strategizing and executing Analysis to bring impact
✔Strategizing and leading Analysis to bring impact
✔Building up processes and streamlining to increase efficiency
✔Customer Data Analysis (Google Cloud, BigQuery, R, Statistical Learning)
✔Behavior Driven Data Activation (across Ad platforms / onsite/offsite experiences)

Sr. Data Specialist (Data Scientist Solving Business Problems)

The Client tasks so far included :
✔CLV calculations
✔Seasonality & Trends Analysis
✔Sentiment Analysis & Topic Modeling
✔Behavioral Segmentation and Churn Reduction
✔Feature Importance & Selection
✔Recommendations
✔Product Analysis & Recommendation
✔Funnel Automation
✔Weekly ROAS Report

These client includes (Advertising Agencies, Graphic Designing platforms, Language learning platform, Non Profit Organizations etc)

Increasing your brand worth, and your revenue by helping you to reach your actual target audience and helping you deliver what your target audience requires with the help of #dataanalytics using tools like 
#SQL - GCP - Bigquery, 
#python, 
#R, 
#Snowflake, 
#GA4, and 
#Google Data studio, etc

Data Specialist (Data Scientist Solving Business Problems)

Growth Associate

Medium

Writer

Customer Success Collective

Member

Naveena Steel

DATA EXPLORATION:
- Used R and Advance Microsoft Excel to Identify limitations of the data and gather external data which were useful for modelling purposes.
-Exploration of interactions between different variables through correlation analysis and looked out for multidisciplinary by creating interaction variables.
-Transformation of required data so that it is in an appropriate format for analysis. This may include steps such as ensuring that the data types are appropriate and rolling data up to an aggregated level.

MODEL DEVELOPMENT:
-Determined a hypothesis related to the business question that can be answered with
the data.
-Developed a Behavioral Segmentation model to make segments of customers to highlight the top Customers, their total lifespan and total customer; when will they churn and developed strategies to retain them, increase the profitability from them, predict how prospective customers will be converted to actual customers, on what costs and on what variables
- Calculating CLV:CAC for making better strategies of customer retention, attrition and acquisition.
- Performing Sentiment Analysis from Social media reviews to check the brand positioning and brand awareness status.

INTERPRETATION AND REPORTING:
-Using dashboarding to Visualize and present findings. This may involve interpreting the significant variables and co-efficient from a business perspective

Management Trainee - Business Analytics

Costing:
->Gather and analyze financial data on Spreadsheets & R
->Determine standard costs and investigate variances with actual costs
->Prepare detailed reports, both periodically and ad-hoc 
->Help management make important decisions based on costs and benefits (e.g. investments, market growth, pricing changes)
->Monitor changes in processes or methods to calculate effects on overall costs
->Estimate product costs for existing and new products
->Forecast and analyze costs of processes, labor and inventory
->Suggest cost-reducing or profitable solutions
->Conduct market research to support future business planning

Accounts Payable:
->Managing accounts payable using accounting software and other programs (Oracle and Spreadsheets)
->Handling accounts payable for separate entities and vendors
->Analyzing workflow processes
->Establishing and maintaining relationships with new and existing vendors
->Ensuring bills and payroll are paid timely and accurately while adhering to dept. procedures
->Processing due invoices for payments
->Comparing purchase orders, prices, terms of payment and other charges

Management Trainee - Finance

Estrell Consultants

 Completed extensive research and content writing along with Data
analytics projects for international clients from the USA, UK, Middle
East, and Australia, demonstrating the ability to meet stringent
deadlines and deal with multiple projects effectively.
 Some of the data related projects:
o Customer Segmentation
o Uplift testing
o Sales Forecast model up to 93.7% accurate on test data

Freelance Consultant

Quantium

+ Data preparation and customer analytics
+ Experimentation and uplift testing
+ Analytics and commercial application

Data Analytics Virtual Experience Program

KPMG Australia

DATA EXPLORATION:
- Used R and Advance Microsoft Excel to Identify limitations of the data and gather external data which were useful for modelling purposes.
-Exploration of interactions between different variables through correlation analysis and looked out for multidisciplinary by creating interaction variables.
-Transformation of required data so that it is in an appropriate format for analysis. This may include steps such as ensuring that the data types are appropriate and rolling data up to an aggregated level.

MODEL DEVELOPMENT:
-Determined a hypothesis related to the business question that can be answered with
the data.
-Developed a Behavioral Segmentation model to make segments of customers to highlight the top 1000 Customers, and developed strategies to retain them, increase the profitability from them, predict how prospective customers will be converted to actual customers, on what costs and on what variables

INTERPRETATION AND REPORTING:
-Using dashboarding to Visualize and present findings. This may involve interpreting the
significant variables and co-efficient from a business perspective

Data Analytics Consulting Virtual Intern 

Did exploratory data analysis and developed salary prediction model by linear regression

Data Analyst virtual intern

Portia Fabric

Gathered market data from target market and applied data analysis techniques to develop clusters, classifications and their prediction of future sales, reduced the MAPE in the forecasts, developed product recommendations for cross selling and optimizing resources to increase the market share (by data analytics).

Project Trainee

Portfolio of Solutions

We are offering variety of services for businesses. We are providing following services:
#Financial Consultancy
#Data and Business Analytics ( Marketing Analytics)
#IT

Founding Member

Data Specialist (Data Scientist Solving Business Problems) | Increasing your 💲 Profitability 🚀🚀 with Behavioral segmentation, Churn Analytics & NLP

⛔ STOP NOW ⛔ READ BELOW 👇

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𝐍𝐨𝐭 𝐚𝐛𝐥𝐞 𝐭𝐨 𝐜𝐫𝐚𝐜𝐤 𝐂𝐑𝐎 & 𝐫𝐞𝐭𝐞𝐧𝐭𝐢𝐨𝐧?
𝐂𝐨𝐧𝐟𝐮𝐬𝐞𝐝 𝐚𝐛𝐨𝐮𝐭 𝐰𝐡𝐞𝐫𝐞 𝐭𝐨 𝐚𝐥𝐥𝐨𝐜𝐚𝐭𝐞 𝐲𝐨𝐮𝐫 𝐦𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐛𝐮𝐝𝐠𝐞𝐭 𝐟𝐨𝐫 𝐦𝐚𝐱𝐢𝐦𝐮𝐦 𝐑𝐎𝐈? 
𝐔𝐧𝐬𝐮𝐫𝐞 𝐡𝐨𝐰 𝐭𝐨 𝐥𝐞𝐯𝐞𝐫𝐚𝐠𝐞 𝐦𝐚𝐫𝐤𝐞𝐭 𝐭𝐫𝐞𝐧𝐝𝐬 𝐚𝐧𝐝 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐛𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐭𝐨 𝐬𝐜𝐚𝐥𝐞 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬?

𝑯𝒆𝒓𝒆’𝒔 𝒘𝒉𝒐𝒎 𝑰 𝒉𝒆𝒍𝒑:
𝐂𝐌𝐎𝐬 𝐚𝐧𝐝 𝐅𝐨𝐮𝐧𝐝𝐞𝐫𝐬: Gain crystal-clear data insights for strategic decision-making and scaling your business.
𝐌𝐚𝐫𝐤𝐞𝐭𝐞𝐫𝐬 𝐚𝐧𝐝 𝐂𝐑𝐌 𝐌𝐚𝐧𝐚𝐠𝐞𝐫𝐬: Achieve a unified analytics view to streamline and optimize your marketing efforts.
𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐀𝐠𝐞𝐧𝐜𝐢𝐞𝐬: Elevate your client campaigns with expert data analysis and innovative strategies.

𝐇𝐞𝐫𝐞'𝐬 𝐇𝐨𝐰 𝐈 𝐡𝐞𝐥𝐩:
𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Resolve discrepancies between analytics platforms and your source of truth.
𝐁𝐮𝐝𝐠𝐞𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Utilize Market Mix Modeling and Multi-Touch Attribution for precise marketing spend allocation.
𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐲 𝐈𝐝𝐞𝐧𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Discover growth opportunities through exploratory data analysis across all sources.
𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Pinpoint and fix drop-offs in your conversion funnels to surpass industry benchmarks.
𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠: Define OKRs and KPIs with tailored executive dashboards for enhanced visibility and control.
𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐞𝐬: From Seasonality and Trends Analysis to Sentiment Analysis and Topic Modeling, I provide the insights you need to capitalize on market shifts and optimize content strategy.
𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐑𝐞𝐭𝐞𝐧𝐭𝐢𝐨𝐧: Implement Behavioral Segmentation and Churn Reduction strategies to boost user retention and loyalty.
𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐮𝐩𝐩𝐨𝐫𝐭: Conduct detailed Product Analysis and offer actionable recommendations that drive development and positioning strategies.
𝐒𝐚𝐥𝐞𝐬 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Manage Funnel Automation projects to increase conversion efficiency and streamline sales processes.
𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠: Deliver Weekly ROAS Reports to track advertising spending effectiveness and support budget decisions.

𝐖𝐡𝐲 𝐖𝐚𝐢𝐭?
What's stopping you from transforming your data into money today with expert analytics and copywriting skills. 
👉Contact now to start optimizing your business outcomes with precision data strategies.

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The Battle

Matt Dancho

Muhammad Saad Khalid

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