♦ (2018-2024) Academic Director for M.S. in Business Analytics & Information Management (BAIM) program which entailed teaching, mentoring, coaching, and preparing students for various analytics and data science positions.♦ Won the 2023 INFORMS UPS George D. Smith Prize (2022 Finalist) for the top analytics program at preparing graduates to be effective practitioners.♦ Held myself accountable to student outcomes. I got out my towel and did what was necessary to prepare students to achieve their dream analytics and data science careers. Placement rate / Avg. starting salaries: 2018 - 97%/$83k; 2019 – 100%/$95k; 2020 – 97%/$97k; 2021 – 100%/$108k; 2022 – 99%/$124k; 2023 - 100%/$110k).♦ Program was one of a few inagural INFORMS Associate Certified Analytics Professional (CAP) Pathway Programs where 100% of the 2023 cohort graduated as aCAPs. 100% in 2024 cohort.♦ Was the course content developer and instructor for the following courses: Data Mining (undergrad and grad), Predictive Analytics (undergrad and grad), Using R for Analytics (grad and online), Cloud Computing I/II/III (grad), and MS BAIM Industry Practicum (capstone course).♦ Developed and nurtured many wonderful corporate partnerships and handed those over to our Business Partnerships Office to create more opportunties for other programs.♦ Mentored undergraduate and MS BAIM students on experiential learning projects with industry partners, as well as competitive analytics competitions, and professional development events. I was the point of contact and primary mentor for all engagements with MS BAIM students.♦ Research projects led to 2 journal articles, 5 book chapters, 44 conference paper proceedings, 196 conference posters, and 43 awards that showcased the students knowledge, skills, and abilities. Check out some of the outcomes here (http://www.MatthewALanham.com).

♦ Mentor undergraduate and MS BAIM students on data science consulting projects with industry partners from various sectors and analytics maturity.♦ Help scope projects, buid student teams, and manage projects I lead.♦ Check out our website here - https://business.purdue.edu/centers/krenicki-center/

♦ Provide analytical consulting and training services (https://www.bizanalyticslab.com/)

(formerly Predictix, LLC)♦ Product owner for the Price Investment and Category Role projects with Whole Foods Market♦ Entailed holding regular meetings with client business leaders to discuss and report on analytics progress and results♦ Led a small data science team in an agile fashion to design and develop the analytics software that generated non-constant elasticity curves and price sensitivity summaries with corresponding predictive model validation measures using R, Python, and LogiQL technologies in an Ubuntu Linux environment♦ Many data science experiments were performed, many overtime development hours invested, much QA done, the team and client was outstanding, very proud to be part of that work

Co-editor on the editorial board of OR/MS Tomorrow - The INFORMS student magazine

♦ Built, assessed, deployed, and benchmarked, large-scale production-ready advanced predictive models for assortment planning decision-support that would yield approximately half a billion store-sku forecasts each run♦ Designed and developed a customized assortment decision support system using Oracle, R, and Solver Studio that could solve smaller scale hierarchical assortment planning decision models♦ Collaborated across functional silos to strategically obtain and incorporate data about our products, customers, and competitors to improve modeling endeavors♦ Researched academic literature on assortment planning and modeling techniques used to estimate demand and substitution behavior with a focus on sparse demand

♦ InstructorSummer 2013 – BIT 2406: Quantitative Methods II (Optimization)Spring 2013 – BIT 2406: Quantitative Methods II (Optimization)Summer 2011 –STAT 3615: Biological Statistics♦ Teaching AssistantSpring 2014 – BIT 4484: Project Management (Instructor: Ralph Badinelli)Fall 2013 – BIT 4484: Project Management (Instructor: Ralph Badinelli)Spring 2013 –BIT 4544: Advanced Methods in Business Analytics (Instructor: Tabitha James)Fall 2012 – BIT 4614: Information Security (Instructor: Tabitha James)Spring 2012– BIT 4614: Information Security (Instructor: Tabitha James) BIT 2406: Quantitative Methods II (Instructor: Tabitha James)♦ Non-teaching related assignmentsFall 2011 – Database and VBA Developer2010–2011 – SAS Programmer/Statistical Analyst

♦ Created a centralized database to store data that was in silos across the firm such as financial measures, demographics, weather metrics, competitor features, and merchandise measures♦ Developed and cross-validated a real-time spatial-temporal Do-It-Yourself (DIY) classification system using R and IBM SPSS Modeler that helped provide a more transparent understanding of market dynamics to drive better business♦ Held “statistical thinking” sessions and discussed how analytics techniques such as PCA, regression, k-means, CART/Random Forest, and DEA could be effective in some of their other decision support endeavors

♦ Developed the Genscape Cushing Storage Report, which estimated oil storage at Cushing, OK by processing storage levels from aerial video and images captured by helicopter which generated $1.3 million in new business in the first three months of release.♦ Created an image and video measurement procedure that resulted in more consistent measurements when compared to the pre-standardized measurement procedures♦ Built predictive models that helped identify internal measurements errors, individual storage tank capacities, and tank ownerships♦ Developed software that queried and displayed static demographic tanker information and their corresponding images and tank measurements for more efficient quality analyst review♦ The Financial Times highlighted this work (https://matthewalanham.com/About_Me_files/financial_times_article.pdf)

♦ Expanded a new natural gas storage division/product by measuring one gas storage field to several♦ Developed multivariable regression and logit models to estimate current and next day natural gas storage field behavior for storage fields and storage regions that provided decision support in reducing data product error when compared to known operations♦ Maintained our production Oracle database by creating, updating and deleting oddities in the data as well as modifying gas flow algorithm parameters via SQL

♦ Developed automated applications in Microsoft Excel by via SQL and VBA to gather and transform various data sets for algorithmic testing, data calibrations, logistical planning internal reports, and other process improvement projects♦ Performed end-to-end software testing for our expanding power product and internal calibration tools♦ Interviewed, hired, and cross-trained new analysts, reviewed their performance and made recommendations to improve their results

To fulfill the requirements for my M.S. in Biostatistics, I performed one semester of statistical consulting. I was able to obtain one co-authorship from this experience.♦ Collaborated with pharmacy resident in a study investigating antibiotics versus length of hospital stay♦ Outlined statistical tests to be performed, reviewed and formatted data sets to fix data anomalies, wrote SAS code, and interpreted statistical analyses for study presentations and peer-reviewed paper