Dr. Behrang Zadjabbari (PhD)

Partner- Data science & AI at Findex
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Contact Information
us****@****om
(386) 825-5501
Location
Melbourne, Victoria, Australia, AU

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Credentials

  • DAT202.3x: Implementing Predictive Analytics with Spark in Azure HDInsight
    Microsoft Advanced Analytics
    Apr, 2017
    - Oct, 2024
  • Python programming
    University of Michigan
    Jan, 2016
    - Oct, 2024
  • Machine Learning Foundations: A Case Study Approach
    University of Washington
    Dec, 2015
    - Oct, 2024
  • R Programming
    Johns Hopkins Bloomberg School of Public Health
    Jul, 2014
    - Oct, 2024
  • SAS base programming
    SAS
    Feb, 2013
    - Oct, 2024

Experience

    • Australia
    • Financial Services
    • 700 & Above Employee
    • Partner- Data science & AI
      • Jun 2021 - Present

    • Lead Data Scientist
      • Aug 2017 - Present

      • Built data science team and converted the team to be a client facing practice • Worked with other service lines like Audit, Business Advisory etc. to identify needs and pain points within firm’s existing clients and offer data science solutions to these clients • Designed and managed developing and implementing scalable products for different industries (My team developed Data Science products for Education, non-for-profit and Franchise industries and now team is extending the products to other industries such as Construction, Agriculture and IOT. Products developed in MS Azure and using Django as backend and Vue js and React as frontend frameworks)• Key relationship manager for data science engagements with the clients• Identify AI and machine learning opportunities within Findex internal service lines and help them to develop AI based solutions• Partner with Findex internal service lines to develop AI based products • Coaching team of data scientists and managing projects resources and timelines• Manage technical team and project deliverables

    • India
    • Business Consulting and Services
    • 700 & Above Employee
    • Senior Consultant
      • Aug 2015 - Jul 2017

      - Implementing machine learning (ML) solutions using different machine learning algorithms ( Regression,Poissopn regression, logestic regression, neural network, SVM, Boosted decision tree, Decision jungle, Decision forest, Kmeans and etc.) - Sentiment analysis - Unstructured and structured data mining - Advanced analytic/ hypothesis testing - Image recognition - Implementing machine learning (ML) solutions using different machine learning algorithms ( Regression,Poissopn regression, logestic regression, neural network, SVM, Boosted decision tree, Decision jungle, Decision forest, Kmeans and etc.) - Sentiment analysis - Unstructured and structured data mining - Advanced analytic/ hypothesis testing - Image recognition

    • Australia
    • Telecommunications
    • 700 & Above Employee
    • Senior Data Specialist
      • Aug 2015 - Jul 2017

      Re-engineer ordering process within retail business in order to reduce ordering time (Order to Activation time), waiting time, average handling time for a call and improve customer and agent satisfaction by simplifying the process and making the process more intelligent, predictive and collaborative Automate credit that call centre agents apply to eligible customers Re-engineer ordering process within retail business in order to reduce ordering time (Order to Activation time), waiting time, average handling time for a call and improve customer and agent satisfaction by simplifying the process and making the process more intelligent, predictive and collaborative Automate credit that call centre agents apply to eligible customers

    • United States
    • Financial Services
    • 700 & Above Employee
    • Senior Risk Analyst
      • Sep 2014 - Aug 2015

      • Developed Credit Risk Models (PD, LGD) based on Basel and SR11-7 standards using SAS, SPSS, Excel • Model Validation, Calibration, Stress testing • Model Performance Monitoring and key metrics measurement(KS,GINI,AR and etc.) • Extract/Validate model development datasets from various Local and Global warehouses with different technologies (SQL server, Teradata, Oracle) • Working with external risk model vendors (Moody's, Veda ) • Delivering regular reports using different technologies (BO, BAV, SAS)

    • Australia
    • Banking
    • 700 & Above Employee
    • Senior BI consultant
      • May 2013 - Aug 2014

      Responsibilities: • Work on all phases of new report development from gathering requirements to, development, testing, deployment and support using different technologies such as pl/sql, SAS . • Modify/Enhance current reports based on new requirements. • Modify the Daily and Monthly ETL routines to add new business processes. • Enhancements to existing Data Warehouse Responsibilities: • Work on all phases of new report development from gathering requirements to, development, testing, deployment and support using different technologies such as pl/sql, SAS . • Modify/Enhance current reports based on new requirements. • Modify the Daily and Monthly ETL routines to add new business processes. • Enhancements to existing Data Warehouse

    • Australia
    • Utilities
    • 700 & Above Employee
    • Senior BI consultant
      • Mar 2012 - Apr 2013

      • Worked on all phases of data warehouse implementation lifecycle, from gathering requirements to testing, development, and support. • Demonstrated expertise utilizing SAS-DI as ETL tool to load data from different sources(Flat files, Oracle databases, SAP-BW) to the data warehouse • Developed data transformation process and automating load process • Data quality analysis/profiling • Documentation of source systems and the interfaces between the operational systems. • Developed customized data dictionary for different stages of developed data warehouse (source, warehouse, dimensions, marts) • Developed monitoring job using SAS base and SAS-DI to ensure data loads always occur on schedule and data is accurate • Defined and captured metadata and business rules in coordination with other data warehouse team members(SAP BW) • Worked closely on SAP billing data quality(duplications, data storage line items)

    • Australia
    • Retail
    • 700 & Above Employee
    • Senior Business Analyst
      • Oct 2011 - Mar 2012

      • Extensive use of SAS E-guide to design process flow for the capture of user specified metadata (from a Customer data warehouse). • Developed OLAP cubes using SAS Cube Studio. Three cubes developed as below; o Cube to analyse overall information about customers such as total numbers of the customers, customers by segments (visit spend bands- number of visits- annual spend bands and etc.) o Cube to analyse transactions (transaction sale bands, product category, store, location and etc.) o Cube to extract list of customers who meet the specific criteria (for campaigns) • Designed and implemented automated data preparation processes using SAS-DI in order to check data quality including checks for new loads, error handling and notifications. • Used SAS-BI tools(SAS web OLAP viewer) as reporting tools • Used SAS E-miner for basket analysis

    • Australia
    • Retail
    • 700 & Above Employee
    • Senior Data Analyst
      • Jul 2011 - Oct 2011

      • Retail Customer/ Product/Store Analysis o Performance of the different branches and compare KPI’s for different stores o Customer clustering and profiling o Customer behaviour analysis for each cluster (behaviour in visits, weekdays, day time, etc.) o Basket analysis o RFV( Frequency, Regency, Value) Analysis • Trade card and Credit card analysis o Behaviour of customers with different credit limits/ trade cards • Map Analysis o Catchment analysis o Drive time analysis o Store location analysis • External factors impact on business analysis o Census data analysis(and link to business impact) o Weather data analysis

    • Australia
    • Information Services
    • 100 - 200 Employee
    • Senior IT Consultant
      • May 2011 - Jul 2011

      • Web functionality analysis o Site performance( pages load time and etc.) o Customers networks analysis o Customers browsers analysis o Mobile connection analysis • Offsite web analytics o Visitors Location/Language analysis o Technology visitors use to connect o Traffic sources(referral sites, search engines) • Onsite web analytics o Site content analysis( pages reviewed, average time per each page) o Adwords Analysis o Click stream analysis o ROI Analysis(% of visits from paid referral sites lead to purchase) Utilized in-house wiki to document company knowledge Developed enterprise social media network to foster internal communication within company employees.

    • Australia
    • Higher Education
    • 700 & Above Employee
    • Policy and planning consultant (Public service/Government organization)
      • Jun 2009 - Jun 2010

      • Facilitated sessions with senior managers to identify the business flows. • Coordinated and conducted meetings with the business areas and, through that process gained an understanding of how each department functioned. • Created requirements documentation, completed workflow analysis and process mapping, improved screen navigation and produced training manuals. • Analysed, defined and developed project plans, business cases, and implementation plans by working closely with all stakeholders to meet business partner’s needs. • Developed ranking process and analysis matrix for equipment, focusing efforts on areas of highest need and reducing total cost to achieve compliance. • Improved and enhanced service quality by developing an effective control system in data collection operations. • Initiated project involving CRM definition for enterprise business solutions across multiple business lines and the incorporation of sales process into the lead management system. • Collected, analysed and presented statistics for work areas in a weekly and monthly report to Senior Management. • Scheduled and conducted several meetings with all levels of staff to implement the Customer Complains Management Process for managing customer complains. • Provide recommended changes to workflow process. • Develop test cases, scenarios, scripts and expected results to operational reporting and client statement generation. • Developed prototype of new data processing application. • Helped collect functional requirements and prepared business requirement documents using BPMN. • Collaborated in forming the company’s business and data models during improvements in the current system design. • Created detailed documentations of business processes which was used as references in formulating strategic improvements.

    • Iran
    • Automotive
    • 700 & Above Employee
    • R&D manager
      • Jun 2001 - Feb 2008

Education

  • Curtin University of Technology
    PhD, Business Intelligence
    2008 - 2011
  • Mazandaran University of Sciences and Technology
    Master of Business Administration (MBA), Marketing
    2004 - 2006
  • Indian Institute of Technology, Kanpur
    Master of Business Administration (MBA)
    2005 - 2005
  • Isfahan University of Technology
    Bachelor of Engineering (B.Eng.), Industrial Engineering
    1996 - 2000

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