Jeffrey Tackes Email & Phone Number

Chicago, IL, US

* Develop and execute the global strategy for forecasting data science, aligning with organizational goals and market dynamics* Lead the design, implementation, and scaling of advanced forecasting models using state-of-the-art machine learning techniques and data-driven methodologies* Collaborate with key stakeholders across demand planning, supply chain.

Chicago, IL, US

• Lead a team of data scientists to build and deploy a best in class forecasting system
• Design, builld, backtest, and deploy numerous iterations to constantly improve forecast performance and accuracy
• Work with the business to understand their pain points and design technical solutions to meet their need
• Changes in modeling have resulted in an improved wmape by +10%.
• Developing a company wide centralized forecasting system in Azure ML

New Britain, CT, US

• Technical lead for demand & time series forecasting
• Designing end to end forecasting engine utilizing cutting edge methods and applying best in class methods from the forecasting community
• Implement simple classical forecasting methods with advanced ML (Light GBM, RF & XGBoost) and Deep Learning methods (DeepAR, NBEATS, Temporal Fusion Transformers).
• Perform correlation analysis on macro-economic variables to include in the forecasting engine
• Utilize the power of Spark Distributed Processing Power to run millions of forecasts in a few hours.

New Britain, CT, US

• Build & Deploy Time-Series Forecasting models using both classical methods & advanced Machine Learning techniques
• Automate & Optimize forecasts at scale.
• Engage with stakeholders to provide analytic insights
• Technical Lead for complex projects involving multiple resources and tasks
• Providing individual mentoring in support of company objectives

New Britain, CT, US

• Work on varied structured and unstructured data sets and leverage data science to solve complexand strategic real-world supply chain business problems
• Determine appropriate analytical approaches and predictive modeling techniques for these businessproblems and lead their development and execution.
• Drive the collection, cleansing, processing and analysis of new and existing data sources.
• Build, test, and deploy machine learning predictive models on large data sets

Wood Dale, IL, US

• Built a Neural Network using Keras predicting the delivery date of purchase/repair orders with 86% accuracy.
• Built TensorFlow CNN image recognition classifier model identifying various types of document categories.
• Use SQL & Python to gather, clean, verify, and publish datasets into BI environment.
• Furnish executive leadership team with insights, analytics, and recommendations enabling strategic planning.
• Optimized machine learning models forecasting demand while minimizing holding cost for $220M of inventory.
• Reduced stocking levels by 20% while increasing services levels by 30% using advanced modeling techniques.

Wood Dale, IL, US

• Promoted from Pricing Analyst
• Developed robust pricing model for long term commercial aviation contracts.
• Built Monte Carlo simulations using Numpy arrays applying various risk assumptions to quantify the cost impact
• Performed statistical analysis on demand data to identify outliers, patterns and performance over time compared to our original pricing model.

Database Administrator, Collection of all in game statistics and analysis using dedicated baseball computer stats software of Point Streak stats program. Work closely with Media Relations to ensure that stories are placed with local media outlets for news reporting as well as delivered weekly to Major League Baseball's Scouting Bureau and the player’s.

Master Of Science (Ms), Predictive Analytics

Master'S Degree, Mathematics

Bachelor'S Degree, Mathematics