# Howard Gan > Product Engineer @ Mars Inc. | Data & Analytics | FastAPI | Python | TypeScript | Next.js | Snowflake Expert Location: London, England, United Kingdom Profile: https://flows.cv/howardgan A software/data engineer at Mars Inc. based in London, with a proven track record across multi-national companies in healthcare, financial services, insurance, utilities and consumer goods. Howard has a strong focus on data engineering, AI & analytics, full stack app development and cloud architecture (GCP and Azure). Howard has a first-class chemical engineering master's degree, work experience as a big data software engineering consultant at Accenture, analytics engineer at HelloFresh, data scientist at Wessex Water, and technology advisory at EY. ## Work Experience ### Full Stack Engineer (Data & Analytics) @ Mars Jan 2024 – Present | London Area, United Kingdom In my current role at Mars, I lead the development of a crucial high-performance analytics web app built with Azure, FastAPI and React (Next.js) for dynamic data visualization (d3, recharts). I also lead the ingestion and transformation of diverse e-commerce data sources using technologies like Databricks, dbt, and Snowflake. My work is pivotal in driving data-driven decision-making and enhancing user experience across our digital platforms. ### Python ML Platform Software Engineer (Financial Services) @ Accenture Jan 2024 – Jan 2024 | London, England, United Kingdom Contributed to the development and deployment of a modern machine learning platform for a leading UK commercial bank (Google Cloud, Python). Spearheaded the development of a custom wrapper for ML models that automatically deploys them using Docker. The solution is being used for all production ML deployments at the bank today. ### Enterprise Data Architect (Insurance) @ Accenture Jan 2023 – Jan 2024 | London, England, United Kingdom Designed the solution architecture and data model of a cloud-based OLAP system processing billions in annual debt. Drove discussions with senior stakeholders to understand complex business processes and codify them into data processes, architectures and systems. Conducted extensive stress testing by developing pilot-scale ETL pipelines using Jupyter notebooks. ### Data & AI Full Stack Tech Lead (Partnership with Google) @ Accenture Jan 2022 – Jan 2023 | London, England, United Kingdom Managed a team of analysts to design, develop and architect cloud-native big data web assets (React, Next, Express) for the GCP.AI practice using agile methodologies. Led the full-stack development (NextJS, FastAPI) of a groundbreaking Generative AI Toolkit to enhance BigQuery's capabilities, along with a customer scenario simulator in the telecommunications industry. Developed an award-winning GCP-hosted web app (React, Express, BigQuery) which played a crucial role in a £300k client bid, encouraging responsible gaming. ### Data Engineer (Healthcare, NHS) @ Accenture Jan 2022 – Jan 2022 | London, England, United Kingdom Developed OLAP ETL pipelines (PySpark, SQL) and analytical reports for a data analytics platform for a healthcare client, expected to generate millions in yearly savings by optimising treatment delivery. Designed and implemented reporting software to address data quality issues and provide crucial insights for day-to-day management operations for thousands of daily theatre sessions. Created and deployed a highly effective data visualization software module across all UK branches, improving data analysis and decision-making capabilities. ### Full Stack Web Developer (Internal) @ Accenture Jan 2022 – Jan 2022 | London, England, United Kingdom Completed a comprehensive full-stack web development / software engineering course covering front-end (React JS), back-end (Express API), Cloud (GCP), and IaC (Terraform, Docker) skills. Deployed and architected a full-stack cloud-based web app for concert venue rental and booking (React frontend, Express API backend; GCP Bucket Storage, App Engine, Cloud SQL; Postgres DB) ### Analytics Engineer (Marketing) @ HelloFresh Jan 2021 – Jan 2022 | London, England, United Kingdom Leveraged data warehouse and big data tools (Python, Tableau, MySQL, Impala) to automate ETL pipelines, enabling data-driven decisions across customer, marketing, and strategy teams. Devised an algorithm to identify fraud in vouchers data, resulting in ~£50,000/yr of potential savings. Applied machine learning (scikit-learn) and time series (prophet) methods to forecast customer activity. Productionised a conversions forecasting model by integrating data into the data warehouse and visualising the data in Tableau to derive channel performance insights. Automated various tasks across HelloFresh and GreenChef, saving over 20 hours of work time per week. ### Process Engineering Safety AI Researching Consultant @ University of Bath Jan 2021 – Jan 2021 | Bath, England, United Kingdom Conducted research and prototyping of NLP and machine learning models to transform qualitative process safety data (chemical accidents and HAZOPs) into ontology databases for a process safety company. ### Data Science Practitioner @ Wessex Water Jan 2019 – Jan 2020 | Bath, United Kingdom Led data-driven projects from inception to completion to support cross-functional decision-making and compliance with business, regulatory and environmental standards. Key responsibilities included: ∙ Developing machine learning and hydrological models in Python and R to assess and manage supply and demand risks for water resources ∙ Querying data from the central internal database using SQL queries in R scripts ∙ Creating analytical dashboards in R Shiny to automate queries, calculations, and spatial data visualisations of hydrometric data ∙ Processing, interpreting, and visualising large water resource datasets ∙ Developing and optimising investment models using NPV and NSGA-ii methods to inform future investment strategies based on the ESBD framework ∙ Analysing and aggregating water consumption survey data using Monte Carlo Methods ∙ Performing ad-hoc data processing and visualisation tasks for the team ### Technology Advisory Intern (Summer Vacation Trainee) @ EY Jan 2018 – Jan 2018 | Kuala Lumpur, Malaysia Performed data extraction, processing, and analysis on large general ledger datasets for an investment bank client using MS Excel. Prepared the technical reporting for the project, highlighting key findings and decisions from internal and client discussions. Organised the project by managing the team Gantt Chart, recording meeting minutes, editing weekly progress reports, and preparing meeting agendas. Completed a business case challenge on the Digitisation of Transport, with presentation to three partners in the firm. ### Vice Chair @ Bath Area Malaysian Students' Association (BAMSA) Jan 2017 – Jan 2018 Co-directed the activities and administration of the society for the academic year in university. Organised 21 social events, delegating a committee of 12 members for over 100 active members. Negotiated with engineering firms and student associations to secure society sponsorships worth over £1000. ### Marketing Executive - Malaysian Production (MNight) @ Bath Area Malaysian Students' Association (BAMSA) Jan 2016 – Jan 2017 Directed the finance and marketing teams, delegating tasks to six executives within both teams. Devised and executed a digital marketing campaign, which was highly successful as tickets were sold out in a record-breaking two days. Sold 208 tickets under-budget in two days, raising £1544 in sales. Successfully negotiated with the University Student Union to secure £200 in funding. ### Head of Fundraising @ Project Arts 360 Jan 2014 – Jan 2015 Raised funds for the operation and activities of Project Arts 360, a student-led organisation that gives underprivileged children access to arts and sports. Ran and led monthly fundraisers, delegating tasks to a team of 7 students. Organised a fundraising program spanning two months, raising over RM1500 within one week. ## Education ### MEng (Hons) Chemical Engineering in Engineering University of Bath ### Garden International School ## Contact & Social - LinkedIn: https://linkedin.com/in/howardgan98 - Website: https://github.com/mhgan1798 --- Source: https://flows.cv/howardgan JSON Resume: https://flows.cv/howardgan/resume.json Last updated: 2026-04-05