Senior Data Scientist
Seattle, Washington, United States
Research Assistant (Intern) @ NASA We developed an analytical method for the stability and bifurcation analyses of dynamic systems that have polynomial and trigonometric non-linearities using Bernstein polynomial expansion. The method ensures that all equilibrium points in a bounded region of the state space are found and yields arbitrarily tight bounds to the parameter points where the...
Research Assistant (Intern) @ NASA We developed an analytical method for the stability and bifurcation analyses of dynamic systems that have polynomial and trigonometric non-linearities using Bernstein polynomial expansion. The method ensures that all equilibrium points in a bounded region of the state space are found and yields arbitrarily tight bounds to the parameter points where the system bifurcates. The results was submitted to AIAA Guidance, Navigation and Control Conference (GNC 2013). I presented the work at the conference. From June 2012 to September 2012 (4 months) LangleyProject Manager Assistant (Intern) @ Broadcom As the project manager assistant, I helped my supervisor with tracking the progress of projects related to launch and release of software packages in the Embedded Devices department (i.e., electronic devices used in wireless and telecommunication devices). I developed an interface in MS Excel using Visual Basic that generated reports on a daily basis for the project manager about the status of ongoing projects. The report pulled the data from various online resources using the Excel macros. I received training related to components that go into wireless systems and integrated circuits. I also participated in more than 30 meetings and prepared memos from daily problem solving activities, which I shared online. From June 2009 to August 2009 (3 months) Research Assistant @ University of Michigan Research for "Development of a Unified Approach for Improving Unmanned Ground Vehicles Mission Reliability and Safety." I have published several papers related to the topic, and have mentored 3 undergraduate and graduate students for one year who participated in the projects. I have held teaching assistant positions in several courses including : Reliability Data Analysis , Time Series Analysis, Statistics and Probability, and Project Management. I have presented my work on a regular basis in conferences and program reviews including: International Conference on Robotics and Automation, American Control Conference, Automotive Research Center Program Review, and The United States Army Tank Automotive Research Development and Engineering Center (TARDEC). From September 2008 to February 2014 (5 years 6 months) Supplier Quality Intern @ General Motors In my second internship with GM, I worked for the Global Purchasing & Supply Chain function, which encompasses a variety of departments such as supplier quality, warranty, and logistics across the globe. The department that I worked with dealt with warranty, safety and returned parts. Using a comprehensive statistical methodology called Red-X, we investigated the root cause of customer complaints by using contrasts among good and faulty parts. The first part of my training was a 3-day course offered by the GM University on statistical quality control. I received my first certificate: the statistical engineering apprentice. I received my second certificate through an extensive theoretical based training combined with a large warranty related project. From June 2008 to August 2008 (3 months) Warren, MichiganSummer Intern @ General Motors In my first internship with General Motors (GM) in Moraine, Ohio, I worked with the industrial engineering division. Many processes such as sequencing and un-sequencing of automotive parts were performed by GM suppliers. This had resulted in a huge amount of unnecessary costs, and my supervisor was responsible for bringing many of these operations back to the plant. Using time studies, it was determined that we could perform the additional tasks using the available part time operators in the plant. My task was to develop new layouts using AutoCAD. Each layout specified the exact placement of tools, bins, storage areas, working areas, and operators while minimizing the distance traveled by the operators and forklift trucks. In the second half of my internship, I worked for the material division. The key responsibility of this department was to ensure the smooth and on time flow of materials into the assembly line. Closely monitoring the shipment and storage of materials in the inventory banks, we made sure the assembly line never came to a halt due to the shortage of parts. At the production rate of around one car per minute, for every few seconds that the line was shut down the plant could incur significant capital losses. I had the opportunity to receive supervisory training in a variety of areas, such as dealing with staff and union representatives, supervising the flow of material, monitoring activities on the plant floor, and establishing professional networks with part time and salary employees. This blend of real world and academic leadership skills enabled me to further understand the impact and benefits of academic research on today’s manufacturing environments. From June 2007 to September 2007 (4 months) Moraine, OHSenior Data Scientist @ Boeing I worked on Deep Learning Named Entity Recognition Models for Information Retrieval and Elastic-Search Ranking Systems for Building a Search Engine.Worked on OCR and Object Detection via Faster-RCNN and OpenCV for Information Extraction from images From February 2018 to October 2019 (1 year 9 months) Greater Seattle AreaMachine Learning Scientist & Research Scientist II @ Amazon I was a research scientist at Amazon developing supervised learning models. IDeveloped Classification and Ranking Models with Applications in Large Consumer Data Built a Forecasting Pipeline for Labor Planning from Data Ingestion to Performance Monitoring Using Apache Spark (Pyspark)Worked on Retrieval and Rank Systems in Retail using LSH Retrieval and Pair-Wise Learning to Rank From March 2014 to February 2018 (4 years) Greater Seattle AreaTech Lead Data Scientist in Boeing IT @ Boeing Technical lead of the university research collaboration on computer vision, and NLP with a focus on Question Answering Systems via Seq-2-Seq modelsSupply chain Missing Data Imputation using Graph Convolution Networks via Pytorch DGLResearch on Conditional Adversarial Networks for Generating Realistic Synthetic Training Data for Computer Vision Applications. Greater Seattle AreaDeep Reinforcement Learning @ Self-Motivated Q-learning in discrete space via TD-learning Udacity NLP Nano Degree Student @ Self-Motivated Built a Named Entity Extractor with Hidden Markov ModelsBuilt language translation models via decoder-encoder architecture Built a voice recognition model From December 2019 to March 2020 (4 months) Self-driving Car Student @ Self-Motivated Built several models:Convolutional Neural Nets (Tensor Flow & Keras) for Traffic Sign Classification and Vehicle ControlVehicle Detection via SVMVariations of Kalman Filters (KF, UKF, PF) for LocalizationModel Predictive Control for Path Following From November 2016 to May 2017 (7 months)
NASA
Research Assistant (Intern)
June 2012 to September 2012
Langley
Broadcom
Project Manager Assistant (Intern)
June 2009 to August 2009
University of Michigan
Research Assistant
September 2008 to February 2014
General Motors
Supplier Quality Intern
June 2008 to August 2008
Warren, Michigan
General Motors
Summer Intern
June 2007 to September 2007
Moraine, OH
Boeing
Senior Data Scientist
February 2018 to October 2019
Greater Seattle Area
Amazon
Machine Learning Scientist & Research Scientist II
March 2014 to February 2018
Greater Seattle Area
Boeing
Tech Lead Data Scientist in Boeing IT
Greater Seattle Area
Self-Motivated
Deep Reinforcement Learning
Self-Motivated
Udacity NLP Nano Degree Student
December 2019 to March 2020
Self-Motivated
Self-driving Car Student
November 2016 to May 2017
University of Michigan
Master's degree, Industrial Engineering, 4.00 GPA
2008 to 2010
The Ohio State University
Bachelor of Science (B.S.), Industrial Engineering, 4.00 GPA
2004 to 2008
University of Michigan
Doctor of Philosophy (PhD), Industrial Engineering, 4.00 GPA
2010 to 2014
We developed an analytical method for the stability and bifurcation analyses of dynamic systems that have polynomial and trigonometric non-linearities using Bernstein polynomial expansion. The method ensures that all equilibrium points in a bounded region of the state space are found and yields arbitrarily tight bounds to the parameter points where the system bifurcates. The results was... We developed an analytical method for the stability and bifurcation analyses of dynamic systems that have polynomial and trigonometric non-linearities using Bernstein polynomial expansion. The method ensures that all equilibrium points in a bounded region of the state space are found and yields arbitrarily tight bounds to the parameter points where the system bifurcates. The results was submitted to AIAA Guidance, Navigation and Control Conference (GNC 2013). I presented the work at the conference.
What company does Amir Sadrpour work for?
Amir Sadrpour works for NASA
What is Amir Sadrpour's role at NASA?
Amir Sadrpour is Research Assistant (Intern)
What industry does Amir Sadrpour work in?
Amir Sadrpour works in the Aviation & Aerospace industry.
Who are Amir Sadrpour's colleagues?
Amir Sadrpour's colleagues are Reto Portmann, Steve Coolen, Avinash Kohli, Swaran Arneja, Patrice McSherry, John Sebek, Renee Rozaieski, Sorin Bucse, Dan Paulat, and Joshua Grajeda
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