Experience

Onfleet

• United States
• Technology, Information and Internet
• 1 - 100 Employee

• Senior Data Scientist

  • Nov 2020 - Present

  Developing and Improving the clustering method and Tensor-Flow based Deep Learning Model for Service-Time and Duration Estimation for our products. Utilized my expertise in data science and deep learning to enhance the accuracy and efficiency of service-time and duration estimation models. Conducted research and analysis to develop advanced clustering algorithms Implemented state-of-the-art deep learning models using TensorFlow,collaborated with cross-functional teams to gather requirements, fine-tune the models, and incorporate feedback for continuous improvement. Worked closely with the Deployment team, utilizing TensorFlow-Extended to deploy the improved models into production environments, ensuring scalability and performance. Maintained and retained the machine learning models in production, monitoring their performance and making necessary updates to keep them relevant and accurate. Geo-Spatial Analytics for Route Optimization and finding the shortest path for deliveries Deploying the Improved Model via Tensor-Flow-Extended Show less



Brighterion, a Mastercard Company

• United States
• Software Development
• 1 - 100 Employee

• Senior Data Scientist

  • May 2019 - Sep 2020

  Developing and leading a new approach to predict the next US recession based on combination of AI models and leading economic indicators. o Improving the ROC_AUC score from 55% to 83% based on comprehensive algorithmic search for optimized hyper-parameters Developing and leading a new approach to predict the next US recession based on combination of AI models and leading economic indicators. o Improving the ROC_AUC score from 55% to 83% based on comprehensive algorithmic search for optimized hyper-parameters



Centene Corporation

• United States
• Hospitals and Health Care
• 700 & Above Employee

• Data Science

  • Jul 2018 - Apr 2019

  Initiation a new approach to empower predictive analytics in healthcare by implementing different machine learning, specifically addressing the imbalanced data set issues: o Worked on analyzing Hadoop cluster and different data tools including pig, hive, spark o Applying logistic regression to classify the outcome of pregnancy model o Implementing Extreme Gradient Boosting (XGB) to improve the prediction of birth outcome and adjusting risk scores accordingly, improving the accuracy from 53% to ~78% Show less



The Climate Corporation

• Greater St. Louis Area

• Data Scientist

  • Sep 2017 - Jul 2018

  ● Implementing and improving TCC model for optimal N rate prescription in global research fields. ● Managing data ingestion to AWS S3 from global partners (EU, N & S America), running model accuracy tests and providing the best practice to regional managers. ● Leading Climate/Supply chain joint effort to improve sustainability by using TCC model. ● Project Manager for Texas A&M university/Climate collaboration, inter-model comparison. ● Implementing and improving TCC model for optimal N rate prescription in global research fields. ● Managing data ingestion to AWS S3 from global partners (EU, N & S America), running model accuracy tests and providing the best practice to regional managers. ● Leading Climate/Supply chain joint effort to improve sustainability by using TCC model. ● Project Manager for Texas A&M university/Climate collaboration, inter-model comparison.



Esri

• United States
• Software Development
• 700 & Above Employee

• GIS

  • May 2017 - Aug 2017

  Implementing ArcGIS Python API to generate test data and web maps. • Applying Machine Learning in SPARK for Geo-Analytics server to handle big data Implementing ArcGIS Python API to generate test data and web maps. • Applying Machine Learning in SPARK for Geo-Analytics server to handle big data



George Mason University

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • Jul 2013 - May 2017

  • Developed a metric to measure the coupling between land and atmosphere on the Community Earth System Model (CESM), funded by NSF • Developed a Spatiotemporal index to better measure the water cycle intensification under the climate change impact on the global water cycle, funded by NASA • Implementing the Generalized Extreme Value (GEV) in detecting the outlier, wining an innovation award • Created a database for 33 global satellite, reanalysis and models containing water element (http://nasawater.blogspot.com/) Show less