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• Hands-on data analytics consulting using statistical techniques, machine learning and data visualisation
• Led a consulting analytics team of 4 people, managed client projects from scoping, translating business
needs into analytics projects, to building machine learning solutions and presentation to the clients

Housing Planning for Builders and Real Estates Agencies
• Built data analytics to understand housing demand drivers per area (e.g. amenities, transport, schools, ...) • Built demand forecasting to enable planning for houses building capacity and schedule

Personalised user experience in VR & Gaming environment
• Researched and co-developed a recommender system for learning web resources
• Set up experiment and performed A/B testing to help with product design
• Led a team of software engineers and managed the interactions with the academic and industry partners

Analytics consulting for online retailer
• Led projects to identify business bottlenecks and opportunities for data-driven sales growth
• Customer analytics to improve retention and profitability including clustering and decision trees modeling • Built a recommender system that significantly increased conversion rate (12%+) and product sales

Data-driven Personalised Marketing
• Consulted with a hotel agency, stock market app, and an online editorial content company to increase customer retention using clustering techniques, classification models and recommender systems

Job Market Analytics and Job Recommendation for online Marketplace
• Designed user models and implemented data mining techniques to build job seekers profiles
• Applied data mining and hypothesis testing to reveal high-demand jobs and skillsets gaps in the job market • Built a job recommendation model that helped users find relevant jobs- increased conversion rate by 24%

Online News Recommendation for a major international Media Network
• Applied text mining and data segmentation to help understand the news readers interests and engagement
• Built and evaluated a personalised recommender system to automatically learn user profiles then
recommends news to comment on in order to maximise user engagement

Data analytics for Stock market app company
• Analytics of app traffic data to understand customer journey, evaluate and drive the product innovation

• Designed association rule mining algorithms to model user behaviour for user experience personalisation
• Researched and built new recommender systems to personalise user browsing of large business databases
• Built a tool to generate real-time collaborative explanations of trends and anomalies in dashboard metrics

• Building data analytics solutions (hands-on), thoughts lead, coaching data analysts and data engineers
• Led discussions of product requirements and specifications with business

Analytics Consulting for Global Marketing Solutions, Sales Strategy & Operations, Sales and Finance teams
• Built predictive model that increased revenue forecasting accuracy by 8% and improved sales goal setting
• Quantitative analysis to understand root causes of changes in key metrics using SQL, Hive, Python and
data visualization
• Built a predictive model for opportunity scoring used for market prospecting for multi-billions business
• Benchmarking to measure how companies compare to their industry peers and identify high-risk markets
• Built and automated dashboards (1300 MAU) providing actionable insights for senior executives and sales
to track revenue and products performance (using Tableau and Microstrategy) for multi-billions business

Automated Customer Targeting Prototype
• Developed a tool for client acquisition that extracts online growth KPIs from user posts on Facebook (text and interactions), predicts (regression analysis), monitors and deep dive fast growing businesses
• Built a sentiment classifier to summarise user opinions towards business based on their Facebook posts

Ninja data trainer – Facebook global datacamp program
• Developed training packs and delivered datacamps globally on data analytics and tools

Data analytics solution for Risk and Project Portfolio management of Ministry of Transportation

• Built an analytics tool that enabled a government ministry understand the health of its €13.5B projects portfolio for the first time. The tool is used to drive business process to optimise budget and performance
• Identified sources of performance issues through root cause analysis and regression trees
• Built a model to predict which projects will miss completion enabling business to take proactive actions
• Outlier detection to alert executives to high-risk vendors and stakeholders showing anomalous behaviour