Candidate No. 444090
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Joe Mari

Business Service

Business Analyst

Skills

★★★ Advanced:

R, Python, Data science, Statistics, more

★★ Intermediate:

SQL, Dashboard Data Visualization, Project Management, Excel VBA, more

Hourly Rate Gauge

Today's value  AUD $24.74

$21.37

if $ 1 = PHP 42

$27.97

if $ 1 = PHP 30
Currency Fluctuation Range

*includes service fee. Please note that hourly rates are linked to the exchange rate, and fluctuate slightly from month to month.

Employment Preferences

Availability:

 Part Time

Preferred Timezone:

Australian Western Standard Time, Australian Central Standard Time, Australian Eastern Standard Time

Hourly & Monthly Rate:
(inclusive of service fee)

Part Time: AUD $24.74 per hour or $2144.02 per month

*Plus GST for Australian Businesses
Remote Staff Recruiter Comments
He has a bachelor's degree in applied mathematics, major in actuarial mathematics.

He has a professional master's degree in applied mathematics (actuarial science) and is currently taking up master of science in statistics.

He has around 7+ years of experience utilizing his skills with analytical and statistical methods and applying them to business, especially in the finance and insurance industries.

He started his career working as a data analyst and data scientist and is currently employed as a senior data scientist.

He is highly proficient in R and Python.

He can run and customize industry standard codes but can also create programs from scratch depending on the requirements of his projects.

He has created programs particular to regression and statistical analysis.

For managing data he is adept in using SQL, HIVE, Snowflake and MS Azure.

For developing business intelligence and reports he has used Qlikview, PowerBI and Google data studio.

As for project management he has experience using Asana.

In his chosen field he has good experience with:

-Analytics project management
-Data management
-Data analysis
-Statistical modelling
-Data visualization

In his line of work, he has been tasked to do the following:

-Created forecast models 
-Performed and managed analytics projects
-Delivered analytics solutions to different operations
-Implementation and monitoring of analytics solutions.
 
Employment History
Data Analyst
Industry:InsuranceEmployment Period:March 2014 to September 2015 (18 Months)Duties and Responsibilities:
  • Created forecast models to optimize workforce of 21 different teams containing hundreds of staffs
  • Pioneered the Workforce Optimization Team and worked closely with operational managers and team leaders across Admin and Operation Function.
  •  Facilitated trainings for operational team leaders discussing Business Statistics and Forecasting.
  • 2015 Breakthrough Award (team award) - annual recognition of the company, recognizing workforce optimization projects implemented.
Data Scientist
Industry:InsuranceEmployment Period:October 2015 to August 2018 (34 Months)Duties and Responsibilities:
  • Worked with Analytics Directors and business stakeholders to lead analytics projects around Asia region from proof-of-concept to operationalization.
  • Performed and managed analytics projects in different insurance functions - such as fraud detection, analysis of customer feedback, marketing lead generation campaigns, customer segmentations, and experience studies.
  • SPARK Awardee - a quarterly recognition to all analytics practitioners within the global analytics community of Manulife (2017Q3).
Sr. Data Scientist
Industry:Call Center / IT-Enabled Services / BPOEmployment Period:August 2018 to May 2022 (45 Months)Duties and Responsibilities:
  • Working under Analytics AVP to deliver analytics solutions to different insurance operations such as actuarial, underwriting, claims and marketing. Highlight projects are:
  • Claims Management - modeling insurance claim losses by different claim duration. Composed of claim features (static) and text features from claim notes (free-form text and image files)
  • Portfolio Risk Segmentation, and Submission Triage for Casualty Insurance and New Business
Education History

Field of Study:

Science & Technology

Major:

Statistics

Graduation Date:

December 2023

Located In:

Philippines

License and Certification:

Not Applicable

Skills

★★★ Advanced:
R, Python, Data science, Statistics, Mathematics, Microsoft Excel, Data Analysis

★★ Intermediate:
SQL, Dashboard Data Visualization, Project Management, Excel VBA, SAS

Work at Home Capabilities

Internet Bandwidth:

25 Mbps

Working Environment:

Private Room

Speed Test Result:

Download: 17.09, Upload: 26.56

Internet Type:

Fiber

Hardware Type:

Laptop

Brand Name:

Legion 5

Processor:

AMD Ryzen 5

Operating System:

Windows 10