Enhancing business discoverability and recommendation capabilities was achieved using cutting-edge machine learning models. For Fitting Room App Recommendations and Post Purchase Lifecycle Recommendations, collaborative filtering with the Surprise package was leveraged. Expertise extended to developing Product-to-Product Recommendation Engines using scikit-learn's NearestNeighbors for efficient item similarity searches. Quick Nav Bubbles and User-to-Item Recommendations were optimized with TensorFlow and Keras, implementing deep learning models like Neural Collaborative Filtering (NCF). Seasonal promotions were supported by designing data models with NLTK for Holiday Support, featuring Best Selling Gifts Under $10, Stocking Stuffers, and Top Rated Gifts, maximizing seasonal revenue. Solutions also included Add to Bag Upselling and Buy Online, Pick Up In Store Upsell Recommendations using XGBoost to drive personalized experiences.

Boosting ecommerce platforms involved expertise in A/B Test Statistical Analysis using the statsmodels package for rigorous testing. Real-time traffic was classified with Browse or Abandon models using XGBoost and LightGBM, ensuring accurate predictions, and giving the front end web team an opportunity to optimize user behavior. Feature Engineering on Web Analytics data from Adobe, Google Analytics, and GA360 was performed using pandas and scikit-learn, extracting valuable insights to optimize website performance. ChatBots were implemented with Rasa and spaCy to enhance customer interaction and streamline support. Tailored solutions analyzed, predicted, and optimized every aspect of ecommerce operations, improving conversion rates and customer satisfaction.

Unparalleled forecasting accuracy was achieved with advanced models designed for store, SKU, and day level-of-detail analysis. Prophet by Facebook was used for Forecasting Accuracy Analysis, providing precise and actionable insights. Expertise surpassed traditional solutions like JDA and Blue Yonder, offering detailed predictions with ARIMA models implemented in statsmodels. Whether high-level trends or detailed forecasts were needed, models were tailored to meet specific business needs. Clients were helped to stay ahead of market fluctuations and improve supply chain efficiency with data-driven forecasting solutions.

Optimizing marketing campaigns involved comprehensive data science solutions. Campaign Analytics was provided using pandas and scikit-learn to measure and enhance marketing efforts, ensuring maximum ROI. Churn analysis models using XGBoost identified at-risk customers, enabling effective retention strategies. Customer Lifetime Value models built using lifelines and scikit-survival allowed clients to focus on high-value customers. Expertise in Diminishing Returns Analysis helped allocate marketing budgets efficiently, avoiding overspending. Additionally, Email campaigns were optimized with personalized recommendations using TensorFlow and Keras, improving open rates and engagement.

Maximizing customer engagement and sales was achieved with advanced lifecycle analytics solutions. Likelihood to Buy models using scikit-learn predicted purchasing behavior, allowing for personalized promotions. Personalized Customer Promotion Optimization and Product Gender Preference Modeling ensured targeted campaigns using XGBoost and LightGBM. Personalized Product Recommendation Campaigns were implemented with Triggered & Cyclical promotions using TensorFlow, enhancing sales through Uplift analysis. Lifecycle solutions, powered by pandas and numpy, provided a deep understanding of customer behavior, enabling tailored experiences that drove loyalty and growth.

Improving supply chain efficiency involved predictive analytics and optimization models. Specializing in Lead Time Predictions using Prophet and ARIMA, and Network Rebalancing & Optimization using scipy.optimize, data-driven approaches ensured accurate forecasting and inventory management with pandas and scikit-learn. Supply chain performance was enhanced with actionable insights from advanced machine learning models. Tailored solutions optimized supply chains, driving operational excellence and meeting specific business needs.

Robust MLOps and microservices solutions were implemented with expertise in cloud environments like AWS and GCP. CI/CD Implementation was offered using Jenkins and GitLab, Data Drift Monitoring with Evidently AI, and Data Pipeline Automation using Airflow. Services included Data Source Migration, Documentation Maintenance, and Environment Resource Monitoring with Prometheus and Grafana. Model Scores were exposed via Microservices to Web UI and Store Applications using Flask and FastAPI, providing real-time insights. With a focus on Model Accuracy Monitoring, Champion vs Challenger Optimizations, and Production Data Pipeline Support using Docker and Kubernetes, reliable and scalable solutions were delivered to drive businesses forward.

• Python, SQL, SAS, R

• Tableau, Excel, Qlik

• Google Cloud Platform (GCP), Cloud Composer, Airflow, BigQuery, Cloud SQL, DataFlow, Kubernetes, KubeFlow, Vertex AI, AutoML, DataStore, Cloud Storage, (GCS), Cloud Functions, Pub/Sub, DataFusion, DataStudio

• Amazon Web Services (AWS), Instances, SageMaker, Redshift, S3

• Adobe Analytics, Google Analytics, GA360

• Jira, Confluence, BitBucket

• 10+ Years People Management Experience

• Servant Leader

• Stoic Principles

• Competitive

• Agile Programming

• Work Hard, Create Impact, and Have Fun While Doing It

Merkle 2013 Operations Excellence

AEO Q3 2016 Employee of the Quarter

AEO Q2 2018 Employee of the Quarter

August 8, 2022

Patrick worked with Adam but they were at different companies

Adam - Is one of the best managers I have had the pleasure to work with. He is one of those people with the innate ability to manage effectively, communicate openly and collaboratively with his team and partners, with the overall ability to code/develop models better than anyone on his team.

Adam drove tremendous success as AEO developing their Data Science team. He is an asset for any company and can bring immediate value. I hope to work with Adam in the future!

September 22, 2022

Adam was Seban’s client

Had the privilege to work under the leadership of Adam and support a plethora of Data Science projects churned out by him and his team. Adam was really helpful in providing us with the much needed direction and his vast knowledge on every single aspect of various projects in the organisation. I was in sheer awe of the number of projects he had to manage and quickly develop ML models. I hope we can work together in the future.

May 12, 2022

Nima worked with Adam but on different teams

I have the pleasure of working with Adam at American Eagle Outfitters (AEO). Adam and I are working in two different teams across our organization but he is the one I always go to if I need any help with data science initiatives. Adam was so helpful in setting the supply chain science team up when I started my position, even though he is not part of the supply chain. I found Adam a great team worker, an excellent communicator, very disciplined, and professional. I see Adam as a thorough leader who can manage a cross-functional data science team. We are very fortunate to have him at AEO.

August 16, 2022

Kristen worked with Adam on the same team

Adam is a humble and gifted data science leader who truly understands how to translate business outcomes into technical solutions. He and I worked together for several years, delivering high-visibility personalization capabilities that created a more compelling customer experience while simultaneously producing results for the business.

Adam is generous with his knowledge, he never hesitates to take time to explain technical concepts in a more relatable way. He often filled the role of peer-mentor to many people across the business while also supporting and nurturing his own team. He would be a valuable addition to any organization.

May 9, 2022

Samuel reported directly to Adam

Adam was my first manager at American Eagle Outfitters. He was instrumental in my acclimation and success at AE. From the moment I started, he provided expert mentorship though his own problem-solving and technical knowledge, and fostered my growth into a successful analyst and developer in a rapidly evolving department. What made him so effective was his flexibility. Adam provided hands-on teaching but also left me plenty of space to develop on my own. With Adam, any institution would be adding a hard-working, motivated data scientist/analyst/developer with the capacity to mentor and teach as well.

May 8, 2022

Yik Hei Olive reported directly to Adam

Adam and I worked together building the next level online recommendations at American Eagle. He is an innovative, forward-thinker with strong analytical skills. His ability to connect business to analytics and can-do attitude is an asset to any analytics function. As a manger, his hands-on approach to career coaching has enabled individual success, inspiring me to pursue my career goals.

May 7, 2022

Tim reported directly to Adam

Adam was my manager as I was just entering the workforce for the first time. He is a leader who radiates positive energy that always motivates the team and create a team culture that makes work super enjoyable. He always have his ears open and is quick to knock down all kinds of blockers that got in the way of the teams' goals. I am happy to have witness his style of leadership so early in my career and he is now an example for me in how I desire to build out my own team.

May 6, 2022

Raphael was Adam’s client

Adam Mudrick is a goal-oriented Manager, who never stops until the goals are met. During the period I worked with him he was an instrumental factor at American Eagle, getting their Data Science team off the ground and working in an environment that is both beneficial to the company and the employees.

Adam is an asset for any company he works for, a great coworker, dedicated employee and an amazing manager.

May 6, 2022

Zichen reported directly to Adam

Really enjoyed working with Adam -- great manager! He created a great team atmosphere!

May 5, 2022

Sri reported directly to Adam

I had the good fortune of having Adam as my data science manager from 2017-2020. He was hardworking, generous in sharing his knowledge, and an analytical thinker that motivated the team to innovate on existing product areas and processes. Adam led bringing A/B testing in house, was key in personalizing e-commerce recommendations for users, and helped guide the team as we changed tech stacks to a new ecosystem using GCP and Python/SQL. I would recommend him as both a manager and a colleague in any data science role.