mazba-ahamad Goto Github PK
Name: mazba-ahamad
Type: User
Bio: I am a risk and decision scientist; and develop statistical, ML, forecast, & predictive modeling-based business decision/growth strategies and policy insights.
Location: Dallas, TX
mazba-ahamad's Projects
5-model-risk-management-evaluation-frameworks
Human decision scientists should consider five critical aspects when evaluating ML models.
estimation-of-hs-exposure-risk-using-dhs-data
R and Stata codes to estimate the household smoke-exposure risk (SER) variable using cooking fuel- and cooking place-related information obtained from country-level demographic and health survey (DHS) data.
fraud-detection
The framework explains the methods for identifying intentional credit card fraud using relational and network data and activities.
generating-composite-proxy-target-variable-for-machine-learning-models-of-business-decisions
A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.
groupthink-in-decision-making-process
This study proposes a “divide-and-decide” (DiDe) strategy designed to minimize the effects of groupthink on the selection of decision alternatives.
lag-length-estimation-under-market-mix-modeling-framework-and-time-series-forecasting
Estimation of the Lag Length of the Advertising Adstock or Carryover Effect under the Market Mix Modeling (MMM) framework.
uplift-modeling-for-treatment-non-responders-through-multifaceted-intervention-for-cost-optimization
A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.
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