John Ronald Masbate Email & Phone Number

Manchester, England, United Kingdom

• Utilize SSMS and Azure Synapse to extract data for cross-departmental analysis.• Developed Power BI dashboards to visualize campaign performance and provide actionable insights.• Oversee the data helpdesk to monitor and ensure data integrity, accuracy, and timely resolution of data-related issues.• Present reports and insights to stakeholders, providing necessary context for data-driven decisions.• Lead full project cycles, from requirement gathering to implementation, including machine learning model development for predictive analysis to drive revenue growth.

Salford, England, United Kingdom

• Provided support to MSc Data Science students throughout their workshops, with a focus on two key modules: 'Applied Statistics and Data Visualization' and 'Machine Learning and Data Mining.'• Guided students in utilizing R for statistical analysis on datasets and leveraging Power BI to create interactive data dashboards.• Assisted in Python sessions for data exploration, preprocessing, and implementation of classifiers and algorithms for machine learning models. Covering advanced topics such as association rule mining, clustering, text mining, and sentiment analysis.

Manchester, England, United Kingdom

• Created predictive models using Artificial Neural Networks for datasets from the Professional Services and Support teams. Evaluated model performance using various metrics and visualizations to validate outputs.• Utilized a proprietary ML platform to create and deploy machine learning models. Additionally, independently created models using Jupyter notebooks to explore alternative approaches.• Conducted data cleaning and feature engineering to enhance model performance. Employed advanced techniques to identify and engineer relevant features, ensuring more accurate predictions.• Extracted actionable insights from both the models and data exploration. Leveraged these insights to provide valuable recommendations aimed at increasing process efficiency for both departments.

Manchester, England, United Kingdom

• Created Qualification and Campaign datasets by extracting data from the CRM. These datasets were designed for in-depth analysis, focusing on data assessment, treatment, and wrangling.• Leveraged binary classification and Artificial Neural Networks to analyze mentioned datasets, identifying significant data patterns and trends, contributing to the improvement of case and campaign success rates.• Engaged in hypothesis testing to validate assumptions and identify areas for further investigation. Conducted rigorous statistical analysis to draw actionable conclusions.• Utilized Excel's data visualization tools to create summary reports for resource managers, effectively highlighting areas for improvement.

Taguig, National Capital Region, Philippines

Account CEVA Logistics:• Provided competitively priced car transport quotes to dealerships and private customers relocating their vehicles.• Tracked in-transit vehicles and relayed information to customers regarding vehicle movements across Australia.• Managed web forms, email inquiries, and chat requests on the website using Zendesk.

Taguig, National Capital Region, Philippines

Account Belong:• Troubleshot technical issues by using information provided by customers and guided them through the necessary steps to resolve their problems.• Submitted service requests for customers when issues could not be resolved over the phone and scheduled a repair crew to fix problems on-site.• Maintained customer records in Salesforce, including information about their problems and solutions, to ensure that any future problems could be resolved efficiently.

Makati, National Capital Region, Philippines

• Monitored and maintained computer systems and networks to ensure smooth and efficient operations.• Installed and configured computer hardware, operating systems, and applications to maintain performance.• Followed diagrams and written instructions to repair faults or set up systems, applying troubleshooting skills to quickly identify and resolve issues.• Assisted employees with hardware, software, or network problems, providing prompt and effective technical support to minimize disruptions.• Collaborated with the IT team to develop and implement solutions for ongoing technical issues.

Master Of Science - Ms, Data Science, 78.83% Gwa / Distinction

Modules • Applied Statistics and Data Visualization • Machine Learning and Data Mining • Big Data Tools and Techniques • Advanced Databases

Bachelor Of Science - Bs, Computer Engineering, 1.84 Gwa / A- Equivalent

Modules: • Introduction to Software Engineering • System Analysis and Design • Routers and Routing Basics • Switching and Intermediate.