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Data Scientist

Resume posted by mrpsonglao in IT.
Desired salary: $350.00
Desired position type: Freelance
Location: Pasig Metro Manila, Philippines

Contact mrpsonglao

Summary

My career objective is to succeed in the exciting industry of data science and big data, and to learn from and contribute to an organization through data-driven solutions to business problems. I thrive in a fast-paced environment, and always deliver high-quality outputs with minimal supervision. I’m great at adapting and learning new things fast, and can fix anything that’s thrown at me. A testament to this is the breadth and depth of my experience一working excellently at a government agency, a university, and a data science startup, with an applied mathematical finance and philosophy double major.

Education

EDUCATION

Ateneo de Manila University

Bachelor of Science in Applied Mathematics,
Major in Mathematical Finance

JUNE 2009 – MARCH 2013

  • Valedictorian Candidate
  • Magna Cum Laude
  • Cumulative GPA 3.82 out of 4.00
  • Dean’s Lister for all semesters

Ateneo de Manila University

Bachelor of Arts,
Major in Philosophy

JUNE 2013 – MARCH 2014

  • Cumulative GPA 3.84 out of 4.00
  • Dean’s Lister for all semesters

AWARDS RECEIVED

2014 Program Awardee for Philosophy

Attained the highest GPA within the graduating batch of the AB Philosophy program.

2013 San Ignacio de Loyola Award for Outstanding Scholar

Awarded as one of the top-performing scholars of the graduating batch.

2013 National Champion and Regional Finalist,
CFA Institute Investment Research Challenge

Part of a 5-member team which won first place in the national finals and chosen as one of the four finalists in the Asia-Pacific Regional finals in Malaysia.

2012 University Representative in the 5th Global Leadership Program at Sophia University, Japan

One of the five representatives for the Ateneo de Manila University at an international program for student leaders.

2009 Ateneo Freshman Merit Scholar & 2009 University of the Philippines Oblation Scholar

Garnered full scholarship based on merit for two of the top universities in the country.

Grade School Valedictorian and High School Salutatorian

RELEVANT TRAINING

Machine Learning by Stanford University through Coursera with a final grade of 100%, June 2016

The Data Scientist’s Toolbox and R Programming courses by the Johns Hopkins University through Coursera with final grades of 100% and 97.3%, respectively, January-February 2016

Experience

WORK EXPERIENCE

Data Scientist
Trade & Competitiveness Global Practice, World Bank Group

JULY 2017 – PRESENT

Senior Data Strategy Associate (promoted from Data Strategy Associate last Dec. 2016)
Thinking Machines Data Science Inc.

JULY 2016 – JUNE 2017

  • Conducted machine learning and quantitative analysis for seven data science and data strategy projects (and counting!) ranging from electricity fraud to transport analysis;
  • Made convincing data visualizations and comprehensive white papers for all data science engagements using Python, SQL, and AWS as main tech stack;
  • Maintained relationships for all engagements from needfinding until project implementation; and
  • Organized, developed training modules, and served as trainer for public and private workshops on machine learning, data analysis, and data storytelling.

Unit Head, Planning, Monitoring, and Evaluation Unit (promoted after 1 year)
Sustainable Livelihood Program (SLP),
Department of Social Welfare and Development (DSWD), Government of the Phils.

APRIL 2014 – DECEMBER 2015

  • Conceptualized, revamped, developed, got management buy-in, and launched a nationwide web-based program Information System with financial dashboards within a year;
  • Supervised a lean team which churned plans, reports, and quantitative analyses for our nationwide program with 17 Field Offices and targets to serve 4.4 million beneficiaries; and
  • Conceptualized and implemented of research studies for program enhancement with external partners such as the World Bank and the Asian Development Bank.

Lecturer, Mathematics Department
Ateneo de Manila University

JANUARY – MAY 2016; JUNE 2013 – MARCH 2014

Intern for the Investment Division

Finance Department, AXA Philippines

JUNE – APRIL 2012

 

  • Headed all three projects (streamlining processes, automated cash flow projections, and automated fund management) aimed at optimizing processes with VBA-based excel files as output.

 

DATA SCIENCE & STRATEGY PROJECTS

Served as project manager, data scientist, and/or data strategist for data science and data strategy projects with corporations, government agencies, and international NGOs for varying fields ranging from transport to finance.

Finance: Fraud Detection and Improving Revenue

 

  • Power Fraud Detection. Led a data science team to catch electricity thieves for the Philippines’ largest power distribution company. We used Random Forest, SVMs, Logistic Regression tied together by a Voting Classifier for the fraud model using Python (sklearn, pandas, numpy, matplotlib, bokeh, seaborn) and plot.ly. Our ensemble classifier obtained 90% recall score and outperformed our client’s best previous human and rule-based models based on inspection.
  • Insurance Claims Fraud Detection. Used supervised ML models and anomaly detection to catch fraudulent claims for the country’s national health insurance program via Microsoft AzureML and SQL.
  • Improving Utilities Payment Timeliness. Managed and served as data scientist for a project to improve daily sales outstanding of a major utilities company through A/B testing of bill advertisements. We used behavioral clustering (HDBSCAN, k-means) and factor analysis (Mutual Information, RandomForest regressor) to identify customer clusters and top factors for late payments using Python (sklearn, pandas, numpy, matplotlib, seaborn, folium) and AWS.

 

Transport: Big Data Pipeline and Traffic Congestion Analysis

 

 

Social Media: Identifying public influence spheres and effect

 

  • Network and Time Series analysis for Social Media. Conducted time series and exploratory data analysis on social media data to identify possible troll-like behavior connected to public influencers using Python (pandas, matplotlib, seaborn, networkX, nltk) and SQL.

Public Governance: Data Strategy and Quality Audits for e-Government

 

  • Data Strategy for e-Government. Provided technical support for the Philippine e-Government Digital Strategy through a 3-month diagnostic assessment of the National Government Portal in collaboration with the World Bank and the Department of Information and Communications Technology.
  • Data Sanity Check for an international NGO. Helped conduct data sanity checks for an international NGO’s household-level survey data prior to data visualization and dashboarding using Python.

Skills

  • Data science, data strategy, and data storytelling;
  • Technical writing and presentation;
  • Client communications and relationship management;
  • Project management and team supervision

Specialties

    Data Science, Data strategy, Project Management, Technical writing and presentation

Groups & Associations

    Data Science Philippines, Mensa Philippines, Philosophical Association of the Philippines, PythonPH

Spoken Languages

    English, Filipino