Stratpoint Technologies

Working on AI, Data Engineering and Cloud Projects

1.Streaming Use Case applications 
- Use of Apache Flink and Mongodb collections
- Migrating Java Microservices to Apache Flink stream and batch data 

2. Storage Optimization use case
- Sharding and Horizontal Scaling for Mongodb Collections
- Shard key designs

3. Pre-Sales Work and Contracts
- requirements gathering 
- forecasting timeline and cost builds
- scoping of project and technology architecture

4. Talent Recruitment
- Recruitment of Talents for Project Builds for data engineering and data science
- Data Engineers, Data Scientists, Project Managers, QA Engineers, Testers, Data Analysts

5. Marketing & Public Engagements
- Speaking engagements with Tech communities such as Analytics Association of the Philippines

AI, Data Engineering and Cloud Solutions

NCS Group

Solutions Architect

Delivering Azure Cloud Data Solutions for an Australian Telco client which encompasses Data Engineering, Orchestration and Machine Learning Delivery Solutions.

Recruiting and Building the Manila Team to delivery On Premise and Cloud Solutions that ranges from Data Engineering such as Data Ingestion Frameworks, Transformation Frameworks, Ensuring that scheduled jobs are running and that team works in Agile Framework.

Azure Cloud Services:
Azure Databricks, Azure Datafactory, Azure Synapse

Tech Director and Delivery Lead (Off shore services to Australia)

Thakral One

Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. Focused primarily around technology-driven consulting, adoption of value-added solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. The firm is heavily inclined towards building capabilities collaboratively with clients in improving grounded and practical outcomes. The approach is possible through partnerships with leading global technology providers and internal R&D teams. Clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

Projects:
-POC for Preventive Maintenance for Geothermal Wells for an Energy Company
-POC Recommendation Engine for a Lights supply retail company
-Spark Training Module for a Local Digital Consumer Bank
-AWS Cloud Architecture Solution for a Digital Insurance Tech Company
-Azure Cloud Demo (Customer Churn) using Azure ML for Sales & Marketing
-Azure Pricing Models for Propensity, Churn, Clustering and Time Series Models
-Azure Marketplace Global Vendor Mapping (Analytics and AI+ML services)

Principal Tech Consultant (Cloud Services)

RingCentral

RingCentral is the largest and fastest-growing pure-play provider in our space, with a market capitalization of over $18 billion, 30%+ annual growth and a $1 billion annual revenue run-rate. It’s an atmosphere of unlimited opportunity, where you’ll be supported by massive resources, unmatched training and a diverse, dynamic culture that’s built for winning, together. 

ML models for sales retention, churn and upsell

Sales Ops and Automation (Acquisition Ops)
The Senior Manager, Sales Ops Automation is a key role in our Sales Ops Automation Team
supporting Global Sales and Operations. The role supports the automation, management, and
reporting of Tableau dashboards and metrics, as well as automated Data engineering workflows.

Other Tools:
Python (numpy, pandas, scikit) 
Stream Sets (Data Collector, Data Transformer, Data Scheduler)
Hadoop (Hive, Hbase tables)
Salesforce API (Sales Leads Generation and Conversion)

Senior Manager (Data Engineering / Analytics / Data Science) 

AXA Philippines

AXA is a Global Insurer Brand with headquarters at Paris, France.

I worked with AXA Philippines on  Data Science projects that brought value to the organisation. Projects range from Life to General Insurance products and involves working with R and Python as open source programming languages to work on. 

Built Data Science communities for the organisation. Built Data Science POC and Use cases from Virtual Agents to Machine Learning applications from the usual NLP, Predictive Analytics to Cloud Platform services such as AWS or Microsoft Azure.

Speaking Engagements:
-Basic Statistics Workshop, MS teams, October 14, 2020
-Design Thinking Workshop, MS teams, July 14, 2020
-Databricks training with Python and Scala, MS teams, May 2020
-AI applications in Insurance, Accenture January 20,2020
-Intro to Machine Learning, Paperwork Philippines, October 12, 2019
-R in insuRance, R users group meet up, October 16, 2019
-Intro to Data Science, Cambridge University Press, 2019
-Machine Learning with R - Society of Actuaries, 2019 
-HR Learning Week  with Data Science - Dev Ops and ML - AXA Philippines, GT tower, 2019
-HR Learning Week on Intro to Data Science - AXA Philippines, AXA Academy, 2019

Chat bot development & NLP:
-Google Dialogflow and Natural Language Processing
-Classifying User sentiments using Naive Bayes and SVM

Machine Learning Projects:
-Persistency and Lapse Models (General Linear Model)
-Clustering Segmentation for Insurance (K-means clustering)
-Leads Model Generation (Network Graph Analysis)
-Classification models (Logistic Regression, Random Forest)
-Using R for Monthly Inflation Model
-ARIMA Time series forecasting for G.I. claims
-Prediction models for Life Insurance
-Classification models for Life Insurance
-Outlier detection Model 
-Anomaly Detection Model use Case

Cloud Platform and Use Case:
-Pricing and Operations (AWS vs. Azure)
-using Databricks Azure (Pyspark, SparkR)

Head of Data Science (Life and Non-Life)

Accenture

Innovation Awards
2nd place team winner for Investment Adviser Chatbot
- delivering a classification algorithm and predictive algorithm for clients data

Delivering Data Science Projects 
-Predicting risk investment profiles through Machine Learning
-Geospatial and Predictive analysis for infrastructure development at a barangay level
-HR and Machine Learning for Organizational Development Improvement and Budget Efficiency
-Developing a chatbot to engage High School students to Job matching enrichment skill
-Using Association Rules to match errors and staffing efficiency for operations
-Using NLP to improve wrongly encoded words for SKU mapping

Speaking Engagements
-Devcon 2017: AI trends and Image processing on Python libraries
-PALEEETAN: Introduction to AI for students and engineers with Adafruit
-UP IESHIKAWA: Using R and RStudio with RandomForest and GLMs
-CEU: Trends and innovations in AI with C++ and Adafruit

Technical Trainings and Bootcamps given:
-Data Science for Executives and non-Data Scientists
-Apache Spark and Databricks (6GB cluster for big data)
-R and RStudio packages for ML (Machine Learning with R)
-Python and Scikit (Machine Learning with Python)
-Machine Learning with MS AZURE ML
-Machine Learning with IBM SPSS Modeler
-Deep Learning with Google Tensorflow

Chatbot and Virtual Agent
Patent on Financial Adviser via MS Azure and Feature Selection

Data Engineering Manager and AI Lead

Smart Communications, Inc.

I worked at Talas (the big data arm of Smart and PLDT) to deliver Big Data, Insights using tools for Machine Learning (R scripts) and Insights delivery for internal and external clients. I also do Data Science Evangelism and speaking engagements for the company.

Projects:
-Up-sell, Cross-Sell for PLDT Enterprise Products
-Organic and Inorganic Tweets for Election Related Tweets
-API product design for Data Monetisation concept
-Dashboard design for Big Data Ingestion and Business KPI output

Public Speaking Engagements:
PAARL: Data Science for Librarians (March 2017)
FEU-Tech: Data Science for Beginners (Feb 2017)
Data Science for Executives @ University of Asia and Pacific (January 2017)
Data Science and IBM-SPSS Modeler @ Coca Cola Philippines (December 2016)
Data Science for Beginners @ De La Salle - CSB (September 2016)


Talas DS Speaking Engagements:
Data Science Con 2016 - Organizer, Creator @ Mind Museum
Software Freedom Day @ U.P. Diliman
RBL.ION @ PLDT and Talas on Data Science @ A-Space, DTI
DEVCON 2016: Bridging the gap between Academe and Industry @ SMX
Make Me a Data Scientist @ Siliman University, Dumaguete
Make Me a Data Scientist @ FAITH University, Batangas
Data Science Mixer @ AGSX, Zuellig

Data Science Senior Manager

IBM Solutions Delivery, Inc.

The job involved helping the team achieve project goals through different analytical projects from Geospatial to Predictive Analytics and helping the Research and Development unit explore other new and exciting projects on Analytics.

ML understanding and using data on Typhoon tracks, Philippine Area of Responsibility, Landfall, Humidity, Wind pressure and other variables generated from haversine distance to compute number of affected individuals when a typhoon comes in - from this generates number of relief packs needed to be delivered to specific warehouses to save lives.

IBM Technical Achievement Award 2015 for Project NOAH
Zero Inflated Negative Binomial (ZINB) model for weather forecasting

Data Science Team Lead (Relief Operations and Project NOAH)

De La Salle-College of Saint Benilde

Data Mining and Business Intelligence using IBM-SPSS, IBM-Data Modeler and SQL Server Express R2 2008

Business Analytics Course for IT and CS
Part Time Lecturer
1st term, SY 2013-2014

Data Mining Skills:
IBM-SPSS Data Modeler (for Predictive Modeling)
IBM-SPSS Base (for basic SPSS models)

Data Warehousing Skills:
MS-SQL Server Management Studio R2 2008 (for Data Warehousing)
Stored Procedures, Schemas and Scripting
MS-Access
(Importing and Linking Tables to MS SQL Server)

Web Skills:
Adobe Photoshop (for the Web)
Dreamweaver MX (for PHP, ASP)
Google Analytics (for Reports)

Data Mining Manager and Research Lead

De La Salle University

Started as front-end developer and then Managed the Intranet site, Created web standards such as codes that are Accessible for PWD. Increased Search Engine Optimization for the site www.dlsu.edu.ph.

The website also includes management of Flash Banners, Directory Structure Re-organization of around 15,000 files which include ASP, Flash Files, PDF files and RSS community feeds.

Education Category, Winner - Philippine Web Awards 2008

Front End Web Developer and Department Head

Leading DS and DE teams with 24+ years experience. From web development to data science, I keep on learning and leading new teams. Doing research and doing data science work for projects like Weather to working with Health related data such as Carcinogens. 

I like working for projects on Social Good and projects that can improve quality of life.

I work with the industry's best minds from Research & Development teams to the brightest Developers who like to work on out of the box projects and deliver it as a Minimum Viable Product. From time to time, I teach data science and project management since I also have an MBA background and work with communities such as the R Users Group Philippines. I also appeared as TV guest in TV5 and Global News Network.

Published two books:
Google Play Book: a Random Walk by Albert Gavino, Random stories from a Data Scientist (March 2020)
Co-founder for Data Engine Training and Consultancy (DETC) Philippines (November 2019)

Administrator for Data Science Manila FB 
with more than 10,000 members, we continue to educate and connect local communities on data science projects, data science hires and growing the data science network to become a Center of Excellence.

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