Abolfazl Hajisami
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Staff Engineer at Qualcomm
- 15+ years research and development experience in the fields of machine learning, wireless communications, data science, and digital signal processing. - Solid background in communication theory, digital signal processing, statistics, probability, and programming. - Solid knowledge of wireless technologies (such as 4G, 5G, DSRC, LTE-V2X, NR-V2X, MIMO, OFDMA, Beamforming, mmWave, CRAN, MEC) and network layers and protocols. - Experience in applying quantitative analysis techniques (i.e. clustering, regression, pattern recognition, statistical modeling, and inferential statistics) to real-world problems. - Experience using machine learning packages such as scikit-learn and tensorflow for training and evaluating predictive models. - Experience in object detection and face recognition using ConvNet algorithms such as YOLO and DeepFace. - 25+ high-impact publications (with over 1700 citations) in the areas of wireless communications and machine learning.
Rutgers University
Doctor of Philosophy - PhD, Electrical and Computer Engineering
January 1, 2012 – January 1, 2017
Rutgers University
Master of Science - MS, Electrical and Computer Engineering
January 1, 2012 – January 1, 2015
Sharif University of Technology
Master of Science - MS, Electrical, Electronics and Communications Engineering
January 1, 2008 – January 1, 2010
Shahid Beheshti University
Bachelor of Science - BS, Electrical and Computer Engineering
January 1, 2003 – January 1, 2008
Qualcomm
Senior Staff Engineer
November 1, 2024 – Present
San Diego, California, USA
Qualcomm
Staff Engineer
January 1, 2020 – November 1, 2024
San Diego, California, USA
Honda R&D Americas, Inc.
Senior Research Scientist
September 1, 2018 – January 1, 2020
Ann Arbor, MI, USA
General Motors
Research and Development Engineer
January 1, 2018 – August 1, 2018
Warren, MI, USA
Rutgers University
Machine Learning Researcher
January 1, 2014 – December 1, 2017
Piscataway, NJ, USA
Rutgers University
Wireless Communication Researcher
September 1, 2012 – December 1, 2017
Piscataway, NJ, USA
Vandidad Company
Electrical Engineer
May 1, 2010 – September 1, 2012
Tehran, Iran
ModaresaneSharif.ac
Lecturer
September 1, 2008 – June 1, 2009
Tehran, Iran
IPCO, Irankhodro Powertrain Co
Intern
May 1, 2007 – September 1, 2008
Tehran, Iran
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Deep Learning A-Z™: Hands-On Artificial Neural Networks
Udemy
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Network and Deep Learning
Coursera
June 24, 2026 – Present
Data Science Essentials
edX
June 24, 2026 – Present
Sequence Model
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Python for Data Analysis and Visualization
Udemy
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong academic and research background, transitioning into senior engineering roles. The target role is 'Data Analyst', which is a shift from their core Electrical/Computer Engineering and R&D background. While they have certifications in Data Science and Machine Learning, the direct application of these skills in a dedicated data analyst role is not evident from their experience descriptions. The lack of project details makes it hard to assess their practical experience in data analysis specific tasks (e.g., data cleaning, visualization, reporting, A/B testing). Their experience is primarily in engineering and research, which may require a different cultural approach than a pure data analysis role.
Soft Skills & Operational Fit
The candidate's extensive research and development background suggests strong problem-solving, analytical thinking, and potentially independent work capabilities. However, without specific project descriptions or behavioral assessment data, it is difficult to fully assess soft skills like teamwork, leadership, or communication in a professional setting. The psychometric test score is not provided, which would typically offer insights into work attitude and stress handling.