Ahmad Tanehkar, Ph.D. Email & Phone Number

Analytical-minded, self-starter with more than eight years of experience researching behavioral economics and consumer psychology, four years working in the banking industry and significant data science knowledge to bring to the table (Microsoft Certified: Azure Data Scientist Associate, with score 940/1000). My expertise in behavioural economics and experience designing surveys and experimental studies allowed me to better understand data quality, identify patterns others may not see, and create more intuitive modelling.I am very interested in applying machine learning in behavioural science. Here I shortly explained why and how: https://towardsdatascience.com/lets-apply-machine-learning-in-behavioral-economics-eb952d0f2300Key Skills: Microsoft Azure Machine Learning (certified) | Classification| Regression | Clustering | Deep Learning | Statistical Analysis | Consumer Segmentation | Behavioural Design| Consumer Behavior Analysis | Experimental Studies (RCT) | Survey Design | Payment Psychology | Technical Skills:Python | SQL | Azure ML Studio| AutoML | Azure SDK | Pandas | Numpy | Sklearn| Keras | TensorFlow| Fast AI | SPSS | Power BI | Interpret MLSome of the projects I've done:- Developed predictive models to forecast customer behavior, such as customer satisfaction, loan repayment, or account churn.- Developed interactive dashboards, visualizations and reports to monitor key performance metrics, such as loan approval rates, fraud detection rates, or customer satisfaction scores, using Power BI or Qualtrics.- Conducted exploratory data analysis to identify patterns, anomalies, or insights that can inform business decisions.- Applied behavioral economics concepts in interpreting data, extracting insight, and feature engineering.- Collaborated with cross-functional teams and presented data-driven insights and recommendations to senior management.- Designed and implemented market research, experiments, and A/B tests to evaluate the impact of different product features, pricing strategies, and marketing campaigns.- Conducted statistical analyses of large data sets to uncover consumer insights and inform business strategy around individual and commercial payments.- Designed several experimental studies researching how payment time influences consumers' risk-taking, spending and choices.

Listed skills include Data Analysis, Statistical Data Analysis With R, R, Qualitative Research, and 36 others.