Ali Khodadadi

adjk1a@r.postjobfree.com 818-***-****

U.S. Citizen

AREAS OF EXPERTISE

Data Analysis

Natural Language Processing (NLP)

Machine Learning (Classification, Regression, Reinforcement Learning, Deep Learning, Dimension Reduction, Clustering)

Process Analysis / Improvement

Bayesian and Monte Carlo Methods

Estimation/Navigation

Bootstrapping

Maximum likelihood estimation

TOOLS & SOFTWARES

Matlab (Simulink, mfile)

Python (Pandas, NumPy, Matplotlib, TextBlob, Scikit-learn, NLTK, Seaborn, TensorFlow/Keras).

AWS, SQL, Qlik

Júpiter Notebook, Google Colab, Tableau,

EDUCATION & CERTIFICATE

Ph.D., Data science (ECE)

University of California Davis

M.Sc. Electrical Engineering

California State University Los-Angeles

California P.E. certified

PROFESSIONAL EXPERIENCE

Data Scientist 2018-now

Altec Industries

Performed data mining on sales, customer services, and fleet data to predict sale, improve customer service, enhance operational KPI, and introduce data-driven diagnostics.

Create a model to clsassify 700K customer service requests to the correct department using NLP methods. Increased accuracy level from 70% to 83%. (AWS, Python, SQL)

Conducted data analysis on power distribution and transmission lines to develop predictive maintenance model and estimate demanded support machinery. Reduced the production delay by around 2%.

Developed a model to estimate the battery end of life. The result led to 100 service field trip reduction annualy. (AWS,Power BI, SQL)

Research Assistant 2014 - 2018

University of California Davis

Performed research to improve NLP data mining methods and and models on domain related text data.

NLP based classification and clustering. (Python, Google Colab)

Stance and semtiment analisys, fake claim identification

Developed novel techniques to enhance the speed and precision of NLP algorithm on domain related free text.

Experience deep learning and statistic machine learning (RNN,CNN, LSTM)

Embedded Software Engineer 2012 - 2014

Honda R&D.

Developed and tested firmware of Honda hybrid controllers, Acura TLX & NSX,

Employed different test and validation methods such as SIL, HIL, noise injection, FMEA, broadband, and narrowband EMI and EMC, voltage fluctuation and ESD.

Selected Publications

“Mining Vehicle Failure Consumer Reports for Enhanced Service Efficiency” IEEE, VTC 2019

“Data Mining in Vehicle Failure Reports: Investigating in False Claim Recognition and Customer Report Classification” IEE VTS transaction under review

“Defining Control Strategies for Parallel Through the Road Plug-in Hybrid Electric Vehicle” (Primarily accepted CASE IEEE 2013)

“Genetic algorithm and particle swarm optimization algorithm for speed error reduction in railway signaling systems” July 2012 Journal of Adaptive control and Signal Processing

“Optimization of balise placement in a railway track using a vehicle, an odometer, and genetic algorithm.” Journal of Scientific & Industrial R., 2011, 200-204

“Assessment of P.F. and AFKF in Vehicle Positioning.” Sensors Journal, 2010

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