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Davit Khachatryan

  • Associate Professor
Academic Division: Mathematics, Analytics, Science, and Technology
781-239-6475
Dr. Davit Khachatryan is an applied statistician with research interests in applications of machine learning/natural language processing in corporate innovation and educational technologies. Davit's research appeared in journals such as Journal of the Royal Statistical Society (Series C), The American Statistician, IEEE Transactions on Engineering Management, Scientometrics, and Journal of Statistics and Data Science Education. Davit is the author of cases Amarcord Incorporated: Combatting Money-Laundering Using Data Analytics; Fargo Health Group: Managing the Demand for Medical Examinations Using Predictive Analytics; and Jenni Maze Limited: Enhancing Call Center Performance Using Predictive Analytics, which since their publication have been used across various institutions for time series education. In addition, Davit designed and developed Playmeans – a software web application (app) that promotes inclusive and engaging data science education through audio-visual analysis of data acquired in real time from Spotify (https://playfuldatascience.shinyapps.io/playmeans/). Prior to joining Babson College, Davit was a Senior Associate at the National Economics and Statistics practice of PricewaterhouseCoopers. In the latter role he consulted in the area of predictive modeling and advanced data analytics, helping clients from financial, healthcare, and government sectors with building automatic predictive models and enhancing business intelligence solutions. At Babson College, Davit has been teaching a wide spectrum of courses ranging from machine learning and predictive analytics to introductory statistics.

Academic Degrees

  • Ph D, University of Massachusetts Amherst
  • MS, University of Massachusetts Amherst
  • BS, Yerevan State University

Academic Interest / Expertise

Statistics; Machine Learning; Data Science; Patents; Educational Technologies.

Awards & Honors

  • 2019 — Faculty Scholarship Award for Interdisciplinary Research, Babson College
  • 2017 — Course Release, Babson Faculty Research Fund
  • 2016 — Summer Stipend, Babson Faculty Research Fund
  • 2013 — Teaching Innovation Fund (TIF), Babson College

Courses

  • Degree Courses 2024

    • QTM 3635 QUANT METHODS MACHINE
    • MSB 6300 BUSINESS ANALYTICS FIELD PROJECT

  • Degree Courses 2023

    • AQM 2000 PREDICTIVE BUSINESS ANALYTICS
    • QTM 3635 QUANT METHODS MACHINE
    • QTM 2000 CASE STUDIES IN BUSINESS ANALYTICS

Publications

Journal Articles

  • Khachatryan, D. (2022). Playmeans: Inclusive and Engaging Data Science through Music. Page: 1-11. Journal of Statistics and Data Science Education.
  • Cleary, R.J., Muehlmann, B.W., Khachatryan, D. (2020). Statisticians Quietly Support Innovation Through Patents. AMSTAT News. Issue: 520, Page: 2 . American Statistical Association. link
  • Eloyan, A., Yue, M.S., Khachatryan, D. (2020). Tumor Heterogeneity Estimation for Radiomics in Cancer. Statistics in Medicine.
  • Khachatryan, D., Muehlmann, B.W. (2020). Measuring the drafting alignment of patent documents using text mining. PLoS ONE. Vol: 15, Issue: 7, Page: 20. link
  • Khachatryan, D., Muehlmann, B.W. (2019). Measuring Technological Breadth and Depth of Patent Documents using Rao’s Quadratic Entropy. link
  • Huang, X., Khachatryan, D. (2018). Dimension Reduction for a Multivariate Time Series Process of a Regenerative Glass Furnace. Journal of Quality Technology. Vol: 50, Issue: 1, Page: 98-116.
  • Khachatryan, D., Karst, N.J. (2017). V for Voice: Strategies for Bolstering Communication Skills in Statistics. Journal of Statistics Education. link
  • Khachatryan, D., Muehlmann, B.W. (2017). Determinants of Successful Patent Applications to Combat Financial Fraud. Scientometrics. Vol: 111, Issue: 3, Page: 1353-1383. Springer.
  • Fixson, S.K., Khachatryan, D., Lee, W. (2017). Technological Uncertainty and Firm Boundaries: The Moderating Effect of Knowledge Modularity. IEEE Transactions on Engineering Management. Vol: 64, Issue: 1, Page: 16-28. IEEE.
  • Khachatryan, D. (2015). Incorporating Statistical Consulting Case Studies in Introductory Time Series Courses. American Statistician, The. Vol: 69, Issue: 4, Page: 387-396.
  • Bisgaard, S., Khachatryan, D. (2011). Quasi-experiments on Process Dynamics. Journal of the Royal Statistical Society (Series C: Applied Statistics). Vol: 60, Issue: 4, Page: 497-517.
  • Bisgaard, S., Khachatryan, D. (2010). Asymptotic confidence intervals for variograms of stationary time series. Quality and Reliability Engineering International. Vol: 26, Issue: 3, Page: 259-265.
  • Khachatryan, D., Bisgaard, S. (2009). Some results on the variogram in time series analysis. Quality and Reliability Engineering International. Vol: 25, Issue: 8, Page: 947-960.
  • Hakopian, Y., Eloyan, A., Khachatryan, D. (2006). About magic rectangles. International Journal of Mathematical Education in Science and Technology. Vol: 37, Issue: 4, Page: 475-483.

Cases and Teaching Notes

  • Khachatryan, D. (2014). Amarcord Incorporated: Combatting Money-Laundering Using Data Analytics: Babson Entrepreneurial Leader Collection. Page: 8. Babson College.
  • Khachatryan, D. (2014). Amarcord Incorporated: Combatting Money-Laundering Using Data Analytics Software: Babson Entrepreneurial Leader Collection. Babson College.
  • Khachatryan, D. (2014). Amarcord Incorporated: Combatting Money-Laundering Using Data Analytics Teaching Note: Babson Entrepreneurial Leader Collection. Page: 13. Babson College.
  • Khachatryan, D. (2014). Fargo Health Group: Managing the Demand for Medical Examinations Using Predictive Analytics: Babson Entrepreneurial Leader Collection. Page: 8. Babson College.
  • Khachatryan, D. (2014). Fargo Health Group: Managing the Demand for Medical Examinations Using Predictive Analytics - Teaching Note: Babson Entrepreneurial Leader Collection. Page: 15. Babson College.
  • Khachatryan, D. (2014). Fargo Health Group: Managing the Demand for Medical Examinations Using Predictive Analytics Software: Babson Entrepreneurial Leader Collection. Babson College.
  • Khachatryan, D. (2014). Jenni Maze Limited: Enhancing Call Center Performance Using Predictive Analytics: Babson Entrepreneurial Leader Collection. Page: 9. Babson College.

Presentations

  • Playmeans: Exploratory Data Analysis using Music from Spotify Khachatryan, D. United States Conference on Teaching Statistics, State College, PA (2023)
  • Playmeans: Inclusive and Engaging Data Science through Music Khachatryan, D. Journal of Statistics and Data Science Education Webinar, Online (2023)
  • Into the Groove: Learning Data Science and Statistics through Music Khachatryan, D. Symposium on Data Science and Statistics, St Louis, MO (2023)
  • Playmeans: Engage with Data through your Favorite Music Khachatryan, D. Babson Research Day, Babson College (2023)
  • Interactive Web Application for Depth and Breadth Analysis of Patents Khachatryan, D. Patent Information Users Group Annual Meeting, Online (2020)
  • Patents for a Statistician: Background, Data, and Uses in Research and Teaching Khachatryan, D. Umass Mathematics and Statistics Seminar, Amherst, MA (2020)
  • Drafting Alignment of Patent Documents: A Text-Mining Approach Khachatryan, D. Muehlmann, B. New England Statistics Symposium, Hartford, Connecticut (2019)
  • Text Mining Workshop Khachatryan, D. Babson Undergraduate Business Analytics Club, Babson Park, Massachusetts (2019)
  • PhD Panel Khachatryan, D. The Isenberg PhD Program's 50th Anniversary Celebration, Amherst, Massachusetts (2019)
  • Uncovering Insight from Patent Data using Text Mining Khachatryan, D. Muehlmann, B. Babson Research Day, Babson College (2019)
  • Uncovering Insight from Patent Data using Text Mining Khachatryan, D. Muehlmann, B. INFORMS Annual Meeting, Phoenix, AZ (2018)
  • Uncovering Insight from Patent Data using Text Mining Khachatryan, D. Muehlmann, B. Umass Informs Speaker Series, University of Massachusetts (2018)
  • Measuring Technological Depth and Breadth of Patent Documents Khachatryan, D. Muehlmann, B. , . Babson Faculty Research Discussion, Babson College (2017)
  • Opportunities for intelligent tax compliance based on patented inventions Muehlmann, B. Khachatryan, D. World Continuous Auditing & Reporting Symposium, Huelva, Spain (2017)
  • Measuring Technological Depth and Breadth of Patent Documents Khachatryan, D. Muehlmann, B. Atlanta Conference on Science and Innovation Policy, Georgia Institute of Technology (2017)
  • Drafting Alignment of Business Method Patent Documents: A Text-mining Approach Khachatryan, D. Muehlmann, B. Global TechMining Conference, Georgia Institute of Technology (2017)
  • Extracting Insights from Patents using Data Mining Khachatryan, D. Muehlmann, B. Babson Faculty Poster Session, Babson College (2017)
  • Teaching Analytics in Context Khachatryan, D. Faculty Learn & Share, Babson College (2017)
  • Exploring Patents through Data Mining: Cases and Implications Khachatryan, D. Muehlmann, B. EV Consulting Brownbag, Yerevan, Armenia (2017)
  • Viewing Patent Data Through the Statistical Lens: Findings and Implications Khachatryan, D. Muehlmann, B. Babson Governance Meeting, Babson College (2017)
  • Determinants of Successful Patent Applications to Combat Financial Fraud Khachatryan, D. Muehlmann, B. Babson Research Day, Babson College (2017)
  • Where Babson Fits into a Successful Academic Publishing Life Khachatryan, D. Faculty Publishing Panel, Babson College (2017)
  • Data Analytics for Non-STEM Majors (in the Age of Big Data) Khachatryan, D. Karst, N. Joint Mathematics Meetings, Seattle, WA (2016)
  • Incorporating Statistical Consulting Case Studies in Introductory Time Series Courses Khachatryan, D. Joint Statistical Meetings, Seattle, WA (2015)
  • From Hot Furnaces to Fraud: Applications of Time Series Analysis Khachatryan, D. , Wellesley, MA (2013)
  • Show Me the Data: My Experience as a Statistical Consultant Khachatryan, D. Invited Speaker Series, Amherst, MA (2012)
  • Time Series Forecasting for Healthcare Khachatryan, D. PWC Lunch & Learn Session, Washington, DC (2012)
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