Shayan Sombolestani Email & Phone Number

San Francisco, California, Us

Subscription & Payments:Conducted in-depth analyses of potential payment methods for our checkout process, enabling data-driven A/B testing to forecast revenue generation across diverse markets.Enhanced payment recovery processes by implementing a BIN-informed strategy, optimizing transaction success rates.Led price testing initiatives to determine optimal pricing strategies.Fraud & Safety:Served as the analytical lead on fraud and abuse prevention initiatives, collaborating with engineering to implement rate limits that curb suspicious activities without affecting legitimate user experiences.Developed and refined predictive models to proactively identify and mitigate high-risk transactions prone to chargebacks and disputes.User Engagement:Designed and executed A/B tests to study user behaviors and learning pathways, uncovering optimal study patterns for various cohorts.

Woodland Hills, California, Us

o Developing Python codes to automate/optimize manual processes such as text classification, and data extraction.o Developing advanced analytical and statistical models to monitor trends and enable informed business decisions. o Providing analytics support by designing, developing, and maintaining dashboards and reports to monitor key metrics such as member outcome, healthcare cost, and utilization.

Baton Rouge, La, Us

o Predicting type II diabetes using health claims, lab, pharmacy, and public data for 500,000 members over 3 years of membership to predict the occurrence of diabetes using SVM, Random Forest, Logistic Regression, and Deep Learning.o Working in a group to develop and optimize a model using sentiment analysis to predict customers complaint.o Developing statistical science-based attributes predicting and profiling disease progression, consumer engagement, provider performances using data mining tools such as SAS, R, Python, and Tableau with additional emphasis on business initiative development and execution

Baton Rouge, La, Us

o Performed numerical simulation using COMSOL Multiphysics to simulate physical processes such as fluid dynamics, solid mechanics, and heat transfer related to different aspects of engineering, such as pipeline erosion, fluid flow, and heat transfer in poroelastic media. The results were validated with an analytical solution to confirm the accuracy of the numerical modeling simulation.o Reserve estimate in oil and gas reservoirs and reservoir management using real-world data. All the analyses were done in Microsoft Excel and statistical analysis such as ANOVA and Monte-Carlo simulation. The result matched the data from the oil field, which indicates the high accuracy of the analysis.o Performed history matching and production prediction using CMG Numerical Modeling of a geothermal reservoir. The result was matched the data from the reservoir, indicating the validity of the numerical modeling.

o Applied data cleaning, regression, and classification on a +20GB using SAS and MATLAB, which led to the identification of commercial iron anomalies.o Designed meshing for collecting geophysical data and made measurements for estimating the subsurface distribution of magnetized bodies. o Analyzed aerial photos and identified potential locations of Iron anomalies.

Permeability evaluation of an oil field in south of Iran from well logging data of10 monitoring wells using multiple regression. Data analysis performed inMATLAB and Interactive Petrophysics software which led to 3% improvementin accuracy of permeability evaluation.

Certificate, Machine Learning Engineering

Master'S Degree, Engineering

Bachelor'S Degree, Engineering