Saam Ahmadi's Email Addresses & Phone Numbers

📖 Summary

Lead Data Scientist and Aerospace Engineer currently applying in-depth aerospace and data mining expertise towards solving our nation's most difficult aviation challenges. Intellectually curious, passionate about science and technology, and striving to making a positive impact through research, development, and technical leadership. Well versed in distributed data processing, algorithm development, statistical/machine learning, data visualization, and numerous programming languages and paradigms. • Hadoop (Cloudera & Hortonworks), MapReduce, HDFS, Spark/PySpark, Pig, Hive, AWS/EMR • Python (NumPy, SciPy, Matplotlib, Scikit-Learn), MATLAB, R, Java • Data Analytics, Data Visualization, Tableau, SQL, Oracle, MySQL • Machine Learning, Data Mining, Predictive Modeling, Regression, Classification, Clustering • Mac, Linux, Unix, WindowsLead Data Scientist and Aerospace Engineer @ • Lead research and development for radar surveillance and geospatial analysis, algorithm development, and automated big-data processing across multiple programming languages. • Designed and implemented aircraft anomaly detection algorithms using statistical and behavioral properties of aircraft movement (air traffic) in the National Airspace System. • Implemented bleeding edge technologies such as Spark to drastically reduce analysis turn-around time and increase productivity for data-driven projects. • Supported technology development across departments, including architecture, design, testing, evaluation, and validation of systems, prototypes, and products. • Served as key technical contributor and presenter for highly visible and successful initiatives including live demonstrations and presentations to Senior Leaders and VIPs within the aviation community. • Provided technical direction, mentorship, and tasking for team members, new employees, and interns across multiple domains including input to management on prospective candidates. • Held technology exchange meetings, codefests/hands-on training, and 1-on-1 mentoring to increase technical health and collaboration throughout the organization. From June 2014 to Present (1 year 5 months) Washington D.C. Metro AreaSenior Data Scientist and Aerospace Engineer @ • Collaborated with FAA and International sponsors to develop and implement capabilities for analyzing air traffic safety events of interest. Enabled causal factor analysis and monitoring of high-risk operations. • Successfully transitioned several fully developed prototypes, algorithms, and interactive Tableau dashboards to full-scale production for FAA controllers, managers, analysts, and decision makers to identify and mitigate local safety issues through various safety initiatives. • Supported a portfolio of analytic projects, products, and studies to deliver metrics, benchmarks, and quantitative understanding of aviation-related metrics across departments. • Served as trusted technical lead for high-profile, rapid turn-around analyses such as aircraft accident investigation and high-risk operations due to expertise in big-data processing and the aviation domain. • Implemented processes for managing, parsing, and manipulating large quantities (petabyte scale) of structured and unstructured data in various formats such as JSON, Avro, XML, CSV, and raw text. • Developed and maintained raw data ingest and data migration processes between HDFS, Hive, MySQL, and Oracle through the use of ETL scripts, Sqoop, and automation to support various teams. • Developed geo-temporal hashing methods to efficiently fuse/join terabytes of position (track) data with relevant traffic, terrain, and weather information, enabling rapid processing of millions of flight operations. • Executed multiple code refactoring efforts (MATLAB and R to Pig, Python, and Java) on various Hadoop distributions to increase data processing performance and to minimize turn-around time for analysis. • Implemented Amazon Web Service’s (AWS) cloud-based architecture to cheaply perform large-scale computations of safety metrics. Presented results to corporate-wide audience fostering cloud investment. From February 2010 to June 2014 (4 years 5 months) Washington D.C. Metro AreaGraduate Research Assistant @ • Researched and applied advanced statistical methods, multi-disciplinary optimization, regression analysis, neural networks, genetic algorithms, modeling and simulation, and distributed data processing to large-scale, open-ended problems. • Developed high-fidelity (physics-based) aircraft and engine performance models in C++ for use by U.S. and international regulatory agencies and policy makers. Enabled trade-off assessment of interdependencies between aircraft performance, noise, emissions, and environmental impact. From August 2008 to December 2009 (1 year 5 months) Atlanta, GAUndergraduate Research Assistant @ • Lead team in aerodynamics, UAV design, fiberglass and carbon fiber construction, in-flight stability and control, and flight-testing. Programmed physics-based aircraft model in MATLAB to simulate and optimize aircraft geometry prior to fabrication of functional prototype for design competitions. From August 2006 to August 2008 (2 years 1 month) Atlanta, GAMaster's Degree, Aerospace Engineering, 4.0/4.0 @ Georgia Institute of Technology From 2008 to 2009 Bachelor's Degree, Aerospace Engineering @ Georgia Institute of Technology From 2003 to 2008 Saam Ahmadi is skilled in: Aerospace Engineering, Systems Engineering, Simulations, Python, Matlab, Hadoop, Data Analysis, Big Data, Data Mining, Operations Research, Algorithms, Apache Pig, Hive, SQL, Machine Learning, Aviation, Aircraft, Tableau, Data Visualization, Java, Aerodynamics, Spacecraft, Simulink