Tommy Johannes - Lead Software Engineer / Senior Veeva CRM Consultant

Tommy Johannes

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Tommy Johannes

Gender

Male

Address

Ho Chi Minh City, Vietnam

Main expertise

AI Vue.js Salesforce Python Deep Learning Embedded Software Machine Learning AWS Node.js React.js Django JavaScript

Introduction

Tommy Johannes is dedicated to consistently improving his skills and utilizing collaborative teamwork to design and integrate advanced systems. He strives to drive technological excellence and deliver impactful results, with a particular focus on strategically incorporating advanced AI, ML, and DL models to optimize overall system functionality and performance.

Project list

Veeva CRM MyInsights Interactive Dashboard - Netherlands, Belgium, Luxembourg, Australia, China, Japan, Korea

Led a collaboration with Veeva Australia and Singapore to launch MyInsights Interactive Dashboards for prominent pharmacy companies in the Netherlands, Belgium, Luxembourg, Australia, China, Japan, and Korea. Expanded the project's scope from small-scale initiatives to a significant partnership valued at $400,000. Managed a team of 5 software engineers to integrate a Deep Learning model with Veeva CRM (Salesforce) to enhance the daily activities of Sales and Medical Representatives in Australia, China, Japan, and Korea. The interactive dashboard provides daily activity suggestions generated by a Johnson & Johnson DL model and synchronizes these results with created or manual activities (calls, emails) to further train the models.

Cooperated with Veeva Australia and Singapore to successfully launch MyInsights Interactive Dashboards to prominent pharmacy companies across multiple regions. Elevated the project scope from small-scale initiatives to a substantial collaboration valued at $400,000. Led a team of 5 software engineers to integrate a Deep Learning model with Veeva CRM (Salesforce) to enhance the performance of Sales and Medical Representatives' daily activities across several countries. Developed an interactive dashboard to receive and synchronize suggestions for daily activities, which are generated by a Johnson & Johnson DL model, to continuously train and improve these models.

Technologies: VueJS, APEX development on Veeva (Salesforce) backend, Deep Learning black-box system to Salesforce integration

Veeva Vault CLM Presentations - Switzerland, Germany, United Kingdom, Italia, Spain

Oversaw the creation and execution of CLM presentations, ensuring they met broader marketing goals. Worked collaboratively with marketing, design, and development teams to smoothly integrate CLM solutions. Provided technical support and mentorship to a team of three non-technical members for creating content using the Bootstrap framework. Guaranteed the quality of CLM slides and presentations, ensuring no typographical or layout errors in multiple languages on mobile devices and during shared meetings.

- Lead the development and implementation of CLM presentations, ensuring alignment with overall marketing objectives. - Collaborate with cross-functional teams, including marketing, design, and development, to integrate CLM solutions seamlessly. - Provide technical guidance and mentorship to the team of 3 non-tech people to create the content based on the Bootstrap framework. - Ensure the quality of the released CLM slides and presentations, as the content is in different languages, and they cannot have any typos or layout mistakes on mobile devices and in shared meetings.

Technologies: Bootstrap, HTML5, CSS3, Javascript, Adobe InDesign, Adobe After Effect, Adobe Illustration

Sales Performance Dashboard for Benelux using PowerBI - Belgium, Netherlands, Luxembourg

Collaborated with Pierre Fabre in the Netherlands to create a comprehensive Dashboard in PowerBI for visualizing sales performance of Sales/Medical Representatives across Benelux (Belgium, Netherlands, Luxembourg). The project involved integrating diverse data sources to ensure accuracy and completeness of information, which required data cleaning and organization. Additionally, it included analyzing the existing Belgium Excel dashboard to apply equations and calculations for generating heat maps, territory and brick maps. Finally, data-driven insights were implemented to enhance sales strategies and performance.

Work with Pierre Fabre in the Netherlands to build the dashboard visualizing sales performance of Sales/Medical Representatives over Benelux (Belgium, Netherlands, Luxembourg). Integrate data sources, ensuring accuracy and completeness of information for meaningful insights. Data sources are from old collective sources and require cleaning and organization before use in the PowerBI dashboard. Discuss and analyze the Belgium Excel dashboard; apply equations and calculations to create heat maps, territory, and brick maps. Implement data-driven decision-making processes to optimize sales strategies and performance.

Technologies: Python, Anaconda, Microsoft (MS) PowerBI, MS Sharepoint, IQVIA Admin consultant, data extraction

Global PowerBI Dashboard for Country Performance Analysis - United Kingdom, United States, Brazil, Germany, Austria, Switzerland, Italy, Spain, Australia, New Zealand, Taiwan

Collaborated with the French HQ and country business teams of L'Oreal to implement a global PowerBI dashboard customized to specific business needs across different countries. Led the design and development of an advanced PowerBI Dashboard using Veeva data integration, enabling analysis of Multichannel Cycle Plan (MCCP), call records, email interactions, and product sales metrics. Managed data extraction from L'Oreal's country branches, transferring data into Sharepoint storage for subsequent visualization on PowerBI or online dashboards.

Cooperate with the French HQ team and corresponding country business teams of L'Oreal to release the global PowerBI dashboard tailored to their business needs. Developed and led the creation of a comprehensive PowerBI Dashboard, utilizing Veeva data integration to analyze Multichannel Cycle Plan (MCCP), call records, email interactions, and product sales metrics. Extracted and managed data from L'Oreal's countries based on their requests, storing it in Sharepoint for visualization on PowerBI dashboards.

Technologies: Python, Anaconda, Microsoft (MS) PowerBI, MS Sharepoint, Veeva Admin consultant, Salesforce data extraction

Salesforce Integration with XPower for Healthcare Professionals Data Clustering - Singapore

Collaborated with the Singaporean company, Xcellen, to transform survey data from pharmacy and pharmaceutical companies into criteria for clustering HealthCare Professionals (HCPs) into product rating groups. Partnered with an Austrian client team to design and implement full and delta synchronization flows between XPower (Xcellen's system) and Veeva (Salesforce system). Developed a Salesforce App to interface with XPower APIs for data operations in Veeva. Explored system limitations to ensure reliable real-time, daily, and weekly synchronization.

Cooperated with the Singaporean company, Xcellen, to convert survey data from pharmacy and pharmaceutical companies into criteria for clustering HealthCare Professionals (HCP) into product rating groups. Worked with an Austrian client team to design and implement full and delta synchronization flows between XPower (Xcellen's system) and Veeva (Salesforce system). Created a Salesforce App to call APIs from XPower for inserting, updating, and deleting data in Veeva. Researched system limitations to ensure stable real-time, daily, and weekly data flows.

Technologies: Python, Anaconda, System integration design, Salesforce Bulk API research, SOQL query, APEX development

Establishing and Expanding the Development Team for Trueson B.V. in Ho Chi Minh City, Vietnam - Australia, Netherlands, Vietnam

This project involved remotely collaborating with Trueson B.V. from Australia, then transitioning between Amsterdam, Netherlands, and Ho Chi Minh City, Vietnam, to build and expand the development team. Initially starting with 3 developers in 2020, the team grew to include 10 developers and 5 consultants by 2023. The APAC team made significant financial contributions, operating independently and generating substantial revenue. In December 2022 alone, the development team generated $700,000, excluding revenue from the consultant team. The project included creating training materials and process guidelines for various initiatives, ensuring standardized procedures to enhance project efficiency and outcomes. Support was also provided for other projects like Social Media Integration for Veeva/IQVIA systems and the Multichannel Cycle Plan - MCCP FastTrack application. Sales activities led to successful deals with offices across Singapore, Australia, and other regions.

Remote working and cooperating with Trueson B.V., Amsterdam from Australia, then switching between Amsterdam and Ho Chi Minh City to build the development team. Successfully established and expanded a development team from 3 developers in 2020 to 10 developers and 5 consultants by 2023. Demonstrated leadership by transitioning the APAC team from full support to independent operations, resulting in significant profit increases. In December 2022, the dev team generated $700,000 in revenue. Created training and process guidelines for projects like MyInsights dashboard, CLM Presentation creation, and Salesforce development. Ensured the successful implementation of standardized procedures across various projects, improving efficiency and outcomes. Supported projects such as Social Media Integration for Veeva/IQVIA systems (WhatsApp, LINE, Zalo) and the Multichannel Cycle Plan - MCCP FastTrack application. Conducted sales activities that helped secure deals with Veeva offices in Singapore and Australia, as well as Johnson and Johnson's Singaporean office, impacting 6 SEA countries, India, and Hongkong.

Technologies: Python, Anaconda, System integration design, Salesforce Bulk API research, SOQL query, APEX development

Embedded ECU Generation - Software Integration

Led the integration of a software project for a multi-core embedded ECU generation, adhering to the AUTOSAR standards designed for commercial vehicle systems. Enhanced project performance by developing internal tools in C# and Python. Participated in a smart app innovation contest for a mobile platform.

Integrated a new software project for a new embedded ECU generation (multi-core) following the second step of the AUTOSAR standard for the commercial vehicle system. Developed internal tools using C# and Python to increase the performance and effort of the embedded project. Contributed to a smart app innovation contest on a mobile platform.

Technologies: C#, Python

Prize Tag Management Server

Led the development and implementation of a Python-Django Server on AWS for a major retail chain's Prize Tag Management System. The project involved managing data transmission to thousands of wireless electronic prize (WEP) tags, including tag details, positions, IDs, templates, and prize information. Successfully completed phase B with plans to integrate the server and WEP tags into store clients by October.

As the Software Technical Leader, designed and implemented the Python-Django Server on AWS for the Prize Tag Control Server of a large retail chain. Managed the transmission of information/templates to thousands of wireless electrical prize (WEP) tags, including current WEP tag data, positions, IDs, current template images, and prizes. Completed the phase B implementation, with plans to embed the server and WEP tags into a shop client of a huge retail chain in October.

Technologies: Python, Django, AWS

Real-time Wildfire Detection with Automated Explanation Discovery - Korea, Australia

This project focuses on innovating real-time wildfire detection systems by integrating automated explanation discovery. It emphasizes early detection and real-time data processing, areas currently underserved by existing systems. By employing a meticulously crafted semantic annotation pipeline and adaptive Complex Event Processing (CEP) patterns, the project achieves performance on par with deep learning classifiers, while providing explanations that are both human-understandable and aligned with predictive rules. The traditional satellite data streams are enriched with semantic data, culminating in contributions that include explainable real-time wildfire detection, semantic annotation capabilities, an interpretable CEP engine, formalized methods for uncovering explanations, event-annotated datasets, and thorough performance evaluations.

Our project leads the way in developing a real-time wildfire detection system with the capability for automated explanation discovery. This approach targets the shortcomings in early detection and real-time data processing found in current systems. We utilize a thoughtfully designed semantic annotation pipeline in combination with adaptive CEP patterns to rival the effectiveness of deep learning classifiers. Our system provides human-understandable explanations that are consistent with predictive rules. By incorporating semantic data into traditional satellite streams, our system is enhanced, showcasing our significant contributions. These include explainable streaming wildfire detection, semantic annotation, a comprehensible CEP engine, structured explanation discovery, event-annotated dataset creation, and exhaustive system evaluations.

Technologies: Python, Anaconda, Docker, React, Redux, Leaflet, OpenStreetMap integration, Australian Government data source

Robert Bosch Engineering and Business Solutions Vietnam

This project involved developing software systems for diesel-gasoline vehicles using Robert Bosch standards.

Worked as a senior software engineer in the Germany team with responsibilities including: - Applying the Robert Bosch standard for diesel-gasoline vehicle software systems (DGS) into the CLM. - Utilizing Agile Development for international usage among thousands of DGS-domain engineers and developers. - Primarily focused on JavaScript/Java for developing server/client-side APIs. - Developed JavaScript widgets and graphical interfaces to enhance the efficiency and performance of all DGS-domain engineers and developers.

Technologies: Python, Django, AWS, C#

Project list

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