Data Scientist

Home

People

Data Scientist

ID : 1265

Education level : Bachelor's degree

Work experience level : Experienced- (4-7 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-12-17

Highly motivated and detailed-oriented person with strong interest in statistics and data science. Enthusiast in helping organizations on understanding their data in a right way by asking the right question, creating predictive models using statistical and machine learning algorithms, and developing high quality business intelligence visualizations and reports.

CRM Data Scientist - Home Credit Philippines - (September 2021 – Present)

As part of the Analytics Modelling team, I primarily build predictive and intuitive models for business use, develop and maintain data sources for analysis and ad-hoc reports, and create and maintain dashboards for reporting and data storytelling Specifically
- Proactively searching for business opportunities in data
- Building statistical models in aiding decision making and optimize business profit
- Acquire data from primary or secondary data sources and maintain databases
- Examine reports on a daily, weekly, and monthly basis to locate and resolve errors
- Visualize and analyse data for business reports, make sure data and calculations are accurate
- Generate & automatize monitoring report and alerting systems

Lead Data Science Analyst - Detail Online Technology - (January 2019 – September 2021)

Lead in providing organization with analytics solutions to optimize business processes and create high value data products for the clients. Specifically
- Provide support to ensure that data collected are at high quality for consumption.
- Identify patterns and trends from the data lake using statistical models and machine learning algorithms to detect data anomalies and to produce actionable insights.
- Develop useful business intelligence tools and reports to aid the organization and client on understanding the data.
- Help clients ask right questions and device a plan and/or solution through descriptive, predictive, and prescriptive analytics.
Key contributions include development of dashboards and reports for the clients such as MS Microsoft and Coca Cola Spain, co-led in the development of machine learning based
predictions and image processing research of the company, and support extraction, transformation and loading (ETL) of data needed for the reports and analyses.

Data Science Analyst - Demand Science Team, Inc. - (December 2017 – January 2019)

Pioneered the use of predictive modelling to improve marketing leads and business processes.
Worked with key business stakeholders and translates technical objectives into defined problems that can be solved by applying data science.
Worked closely with key business stakeholders and other analysts in the team to identify and possibly apply advanced analytics and modelling to business operations to produce key business insights or optimize business processes.
Worked with data operations development team to assess availability of data for analysis. Write complex SQL queries and data pre-processing to prepare data for analysis.
Built and deployed dashboards to provide visibility to key performance indicators and communicate data analysis and insights using rich visualization tools (Power BI and Excel) by leveraging data to present compelling cases to optimize solutions.

Data Operations Associate - Demand Science Team, Inc. - (March 2017 – December 2017)

Wrote complex queries for data extraction and reporting.
Communicated with the sales team to verify what records they are looking for.
Performed data QA for database files and records.
Merged, appended and de-duped files in complex sequences of events with multiple parameters.
Analysed and manipulate data, including importing, exporting, queries, ETL, QA,Creporting.
Assisted in data collection, basic statistical analysis, interpretation, and presentation of results.
Assisted departments and management in the evaluation and interpretation of data and reports.
Solved complex data problems to get desired resulting files for clients.

Monitoring and Evaluation Officer - ADRA Livelihood Project Ajuy, Iloilo - Adventist Development and Relief Agency (ADRA) - (August 2015 – February 2017)

Developed solid Monitoring and Evaluation system for capturing the progress and impact of the project’s different interventions. These includes development of tracking system,
monitoring tool, formulation of reporting system and dashboard.
Facilitated the implementation of the M&E system, analyze data, and ensure the project is on track. Provide also technical backstopping in data collected in the field and provide recommendation to improve activities and processes because of data analyses and field visits.
Contributed to the project’s evaluations (internal) and reviews and project knowledge production for informed decision making.
Established database of the programmed baseline activities, achievements/outputs and information on the on-going project activities and their contribution to the objectives of
the project.

Monitoring and Evaluation Officer - Adventist Development and Relief Agency (ADRA) - (June 2015 – August 2015)

Supported organization’s different projects in M&E designing, planning, implementing and/or improving the existing M&E system. This includes development of new tools or upgrading of existing tools and/or forms in data collection and reporting.
Helped DRR project on establishing baseline analysis through field visits performed different data collection activities such as gathering of documents and carrying out key informant interview (KII)
Participated on initial M&E preparations of new project particularly the REAP in improving the performance measurement framework (PMF) or the M&E framework.

Monitoring and Evaluation Officer - Adventist Development and Relief Agency (ADRA) - (May 2014 – May 2015)

Oversaw the overall M&E of the project, developed and improved the system and ensure that activities were done on time and in accordance with the logical framework of the project.
Developed beneficiary database and needed M&E tools in measuring progress.
Conducted field monitoring visits in targeted barangays and supervised feedback and complaint mechanisms such as ensuring that comment boxes were in place, hotline numbers are visible & led the team on processing complaints received.
Developed and led Post Distribution Monitoring (PDM) and Baseline-Endline Survey

Management Analyst - Business Process and Standards (BPS), NCCC -(September 2013 – May 2014)

Focused on documenting and improving business process such as in finance and logistics. Studied on cost cutting opportunities and value-added activities to optimize profit.
Supported other departments like sales/demands forecasting and recommends research designs to help on their decision making such as time series forecasting.

Enumerator And Validator - BOPHA 2 Emergency Response Team - (July 2013– August 2013)

House to house validation of Cash grantees (Conditional or Unconditional grantees) to ensure that they were qualified as beneficiaries and help in updating the data base for that Intervention.
Conducted beneficiary registration and baseline survey regarding food consumption of target children and their families/household.

Monitoring And Evaluation Assistant - BOPHA Emergency Response Team - (April 2013 - June 2013)

Supported the field staffs in monitoring and evaluation through collection of data for nutrition, WASH, and child protection sector.
Supported the M&E Officer through data management and maintaining the output tracker for the different programs implemented by the Save the Children under UNICEF fund.
Supported the WaSH consultant in analyzing Knowledge, Attitude and Practices (KAP) baseline-endline survey.

Data Analytics Resource Speaker
- Data Analytics: New Trends in Data Visualization Tools
- May 27, 2017
Career Service Professional Eligibility
- Civil Service Commission
- July 2012
Robust Factor Analysis on Wisconsin Diagnostic Breast Cancer
- University of South-eastern Philippines
- March 2013
Data Science using Python
- Coursera Online Course (MOOC), DOST Sponsored
- May 7-8, 2018
Data Storytelling for Business
- DataSeer
- May 7-8, 2018
Big Data 101 Workshop
- Decision-Making, Analytics & Intelligence Philippines
- November 25, 2017
Data Science & Machine Learning W/ R And Python
- UDEMY, a massive open online course (MOOC)
- Nov 2017-March 2018
Data Science Specialization
- John Hopkins University, Coursera Online Course (MOOC)
- May 2016-May 2018
Data Quality
- Global Health eLearning Center Program
- May 21, 2016
M&E Fundamentals
- Measure Evaluation Only Course
- December 10, 2015
Epidemiology: The Basic Science of Public Health
- Coursera: Online Short Course
- November 2015
M&E Tools and Techniques
- ASP-AiD E-learning Program
- August 13, 2015
Introduction to Geospatial Technology Using QGIS
- Canvass Network
- March 2015

Reading for Master of Science in Applied Mathematics, Skills: Builde statistical models, acquire data from primary/ secondary data sources and maintain databases, create and maintain dashboards, data storytelling, Visualize and analyze data for business reports, Generate & automatize monitoring report and alerting systems