Elnaz Shokrollahi

PhD, PMP Charlotte, NC adm7xg@r.postjobfree.com

QUALIFICATIONS SUMMARY

Performed interdisciplinary research in modeling data-driven solutions using AI and Machine Learning algorithms in world-class research hospitals and fintech companies using simulation and optimization techniques (Python, MATLAB, SQL). Experienced in conducting quantitative and qualitative analysis to solve defined business problems. Delivered business recommendations through storytelling according to data and insights (Google/Social Media Analytics). Built classifiers to perform predictive modeling, anomaly detection, signal processing, and pattern classification.

Education

Certified Project Management Professional (PMP) 2018

Ph.D. Mechanical and Industrial Engineering, University of Toronto, Canada 2012 – 2018

M.Sc. Electrical and Computer Engineering, Ryerson University, Canada 2007 – 2009

B.Eng. Electrical and Computer Engineering, Ryerson University, Canada 2003 – 2007

Technical Skills

Languages: Python, SQL, MATLAB

Database Management Systems: BigQuery, MySQL, PostgreSQL

Visualization Tool: Tableau, Looker

Data Preparation/Modeling Tool: SPSS, Alteryx, Jupyter Notebook, Jupyter Hub, Google Sheets

Python Packages: Scikit-Learn, Numpy, Pandas, MatPlotLib, TensorFlow, PyTorch

Statistical Techniques: linear regression, logistic regression, t-test, A/B testing

Machine Learning Algorithms: Logistic Regression, Decision Trees, Random Forests, Artificial Neural Network, SVM, Naïve Bayes Classifier, k-Nearest Neighbor, Action Rules, Association Rules, K-means clustering

Other Software: Jira, Jamboard, Slides, Survey Monkey

Professional Experiences

Senior Recommendation Analyst, Credit Karma, San Francisco, CA, USA Mar. 2021 – Jun. 2021

Developed hypotheses and run experiments around what recommendations drive better outcomes for members. Solved highly analytical problems that have direct impact on the bottom line

Analyzed, reported, and validated the key business metrics

Communicated qualitative and quantitative results clearly, succinctly and confidently in verbal/written communications

Operated analysis on A/B tests and experimentation strategies on data analysis to improve Credit Karma’s financial product recommendations

Worked closely with engineers & data scientists to improve the technology and models that drive recommendations

Freelance Business Consultant, Charlotte, NC, USA Jun. 2018 – Feb. 2021

Delivered business consulting services focusing on employing data interpretation approaches for small businesses

Developed surveys & Facebook Ads Campaigns (considering goal, success measures and target audience). Collected and integrated the campaigns to Excel or MySQL/PostgreSQL (Data Collection and Analysis)

Discovered data patterns such as customer purchase behavior, sales trends and production bottlenecks using Tableau i.e. created calculated fields and place that field on Filter shelf or introduce various dimensions to change level of granularity therefore affect the aggregation

Performed data cleansing for reporting, analytics and machine learning applications (Google/Social Media Analytics)

Analyzed, blend, joined and calculated data while using granularity to ensure accurate calculations

Designed and conducted A/B tests to improve engagement, increase sales and save marketing costs

Translated the insights from the campaigns into business recommendations i.e. how to improve the quality of their campaigns through systematic measurements and creative intuitions. Proposed solutions resulted in 20% increase in sales and conversions. Committed to successful completion of assignments on-time (Business Recommendations)

Robotic/ML Research Engineer, Hospital for Sick Children, Toronto, ON, Canada Sept. 2014 – Jun. 2018

Performed multidisciplinary research focusing on prototyping and validation of a medical robotic device

Built algorithms to perform Data Visualization, Data Analysis, Data Collection in MATLAB and Python from various bone tissue samples

Prototyped and simulated the device behavior through parametric modelling (finite element method)

Integrated and validated the prototype in a tele-robotic system using MATLAB and Python

Applied parametric and nonparametric regression models (auto-regressive exogenous, sigmoid network, Neural Network) for validation of the device performance. Analyzed the statistical modellers to evaluate how well the models fits the data and determined the best model estimating the dynamic behavior of the system in MATLAB, Python (Scikit-Learn, Numpy, Pandas, MatPlotLib) and SAS

Implemented a predictive closed-loop control strategy based on nonlinear black-box modeling (i.e. Neural Network, Random Forest) and performed validation study against the conventional control loops. Assessed through statistical approach (root mean square error) to confirm the feasibility of using the nonlinear model in a control system

Supervised and mentored new and co-op students. Trained and assisted lab technicians

Business Consultant, MR Biotronic, Toronto, ON, Canada Oct. 2012 – Oct. 2014

Developed a business plan with market, risk, and financial analysis for a new start-up business

Executed a feasibility study to determine the practicality of developing an in-vehicle cardiac event detection system

Conducted customers’ interview and surveys & prepared project plan for prototype development (Survey Monkey)

Acted as a project manager for a team of researcher (cost analysis, budget estimation, exit strategy, and scheduling)

Consulted a group of researchers that led to win Norman Esch Innovation and Entrepreneurship Awards ($5000)

Director of Brand Development Brand Institute, Toronto, ON, Canada Jan. 2012 – Sept. 2012

Contributed to business development by meeting with clients (pharmaceutical and medical device companies) for product branding and market research testing

Tailored brand strategies and regulatory risk management in accordance with FDA, HC, and EMA

Examined product concepts, strategic opportunities, and competitive threats. Exceeded sales target, as a team, by 30%

selected Publications

E. Shokrollahi, A. Goldenberg, J. Drake, K. Eastwood, and M. Kang, “Application of a Nonlinear Hammerstein-Wiener Estimator in the Development and Control of a Magnetorheological Fluid Haptic Device for Robotic Bone Biopsy”, Actuators 2018, 7(4), 83

E. Shokrollahi, A. Goldenberg, J. Drake, K. Eastwood, “Development and control of a magnetorheological haptic device for robot assisted surgery”, 2017, IEEE Engineering in Medicine and Biology Society, South Korea, pp. 3926–3929

E. Shokrollahi, K. Price, J. Drake, A. Goldenberg, “Design and development of magnetorheological fluid-based passive actuator”, 2015, IEEE Engineering in Medicine and Biology Society, Italy, pp. 4883–4886

Selected Courses

The Ultimate Hands-On Hadoop: Tame your Big Data September 2020

Alteryx Bootcamp September 2019

Tableau 2019 A-Z Hands-On Tableau Training for Data Science July 2019

The Complete SQL Bootcamp 2018: Go from Zero to Hero, Udemy February 2018

Machine Learning A-ZTM: Hands-On Python in Data Science, Udemy August 2018

Mini-MBA, Management Consulting Association University of Toronto May 2016

Leadership Diploma in Healthcare (in French) May 2013

Awards and Honors

Awarded $120000 from University of Toronto Department of Mechanical and Industrial Engineering, Fellowship, 2012-2018

Won $2000 Travel Award from University of Toronto Department of Mechanical and Industrial Engineering Four Times

Won $9000 Barbara and Frank Milligan Graduate Fellowship from University of Toronto 2013

Awarded NSERC USRA Award for two consecutive year worth ($7000/Summer)

Additional

Languages: English, French, Farsi and Spanish

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