SABER FALLAHPOUR
My Story
I am a Statistician with several years of experience in academia and industry. In the past several years I have been involved in many projects performing data analysis using statistical modeling as well as machine learning techniques dealing with big data.
Since I began my professional journey I’ve been lucky to have had the opportunity to work on some exciting solo and collaborative projects. I take pride in all that I do and in the long-term relationships I’ve fostered in the process. I firmly believe that hard work eventually pays off and that a good challenge offers an opportunity to develop and improve, which is why I make a point of seeking out new ones in the professional realm as well as in my personal life.
Past Experience
Sr. Manager
Duo Bank
Jun 2021 - Present
Sr. Data Scientist
Altair
Feb 2019 - May 2021
Worked as a consultant on different projects such as forecasting sales and optimizing tradespend allocations, Developing credit risk model and score card among the others.
Involved in Expanding and improving Altair Knowledge Studio machine learning product by designing and adding new ML features such as XAI, Model Stacking, Keras Forecasting among the others.
Mentoring data science co-op student at Altair as well as Correlation One (DS4A).
Data Scientist
Transunion
Nov 2017 - Jan 2019
Provide optimal targeting strategy for digital marketing for an Auto Company client through segmenting the population using clustering and fitting xgboost for different segments.
Forecasting consumer credit and mortgage trends in Canada using Arimax/Sarimax models.
Sr. Statistician
Cancer Care Ontario
Feb 2016 - Oct 2017
Some of my responsibilities were to perform trend analysis, survival analysis, forecasting cancer incidence and death.
Developed first comprehensive statistical cancer report for Ontario by analyzing cancer data.
Managed data analysts’ work and provide them guide and feedback on fulfilling requests for external parties.
I was granted cancer research funds to deliver 2 statistical research projects on Breast and Kidney cancer in Ontario.
Team Lead
Cancer Care Ontario
Feb 2015 - Jan 2016
Some of my responsibilities were to manage staff, including allocation of staff resources, delegating, scheduling and prioritizing of staff workloads.
Plan, develop, and coordinate multiple and department-wide projects and play a key role in ensuring the appropriateness of analytical methods and accuracy of data analyses.
Sr. Data Analyst
Cancer Care Ontario
Oct 2013 - Jan 2015
Providing analytical support by performing data analysis and statistical modelling such as survival analysis and GIS analysis dealing with Ontario health data.
Created an analytical report for NDFP program by developing 20+ indicators to assess the effectiveness and efficiency of the program in Ontario.
Initiated new data collection strategies to support program’s performance and quality initiatives.
Data Analyst & GIS Specialist
Windsor-Essex County Health Unit
Apr 2011 - Sep 2013
Performed spatial analysis using RIF, SatScan & ArcGIS software to run Bayesian modeling techniques to detect hot spots for underage tobacco sales and underweight born babies in the Essex region.
Also perform cluster analysis for detect disease clusters in the region among the others.
Statistical Analyst
Statistical Consulting Center, University of Windsor
Dec 2010 - Mar 2011
Analyzing data on a Canadian national project, funded by Transport Canada entitled: Canadian National Survey on Child
Restraint use 2010
Statistical Consultant
Air Quality Control Company, Subsidiary of Tehran’s Municipality
May 2005 - Nov 2005
Worked on a municipal project to estimate the number of active vehicles commuting to City of Tehran every day.
Statistical Consultant
ISACO, Subsidiary of Iran Khodro Automobile Company
Feb 2003 - Aug 2003
Optimized the daily car admission schedule of the company's car service center in order to reduce the wait time and the financial loss caused by lack of spare parts in the company
Educational History
PhD. Statistics, University of Windsor
2008 - 2012
My research was focused on building better predictive models in the area of high dimensional data through improved estimation of model parameters. My area of research was the development and application of James-Stein type shrinkage estimation and comparing its performance with LASSO and other absolute penalty estimators. Other areas of interest include machine learning, Bayesian and MCMC methods, high-dimensional data analysis and spatial statistics.
MSc. Economical Statistics, Allameh Tabatabai University
2004 - 2007
My research was focused on Dual Response Surface Methods for simultaneous optimization of the mean and standard deviation of the process responses . These methods are important in determining the optimal operating conditions for an industrial process, so that the target value for the mean of a quality characteristic is met and its variability is also minimized.
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BSc. Statistics, Allameh Tabatabai University
2000 - 2004
My project was to explore and learn machine learning technique such as Classification and Regression Trees (CART), Clustering and Principal Component Analysis
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