D ONE | Data Driven Value Creation

As a Data Science consultant for D-ONE I designed, developed and maintained different IT solutions. As a part of that role I helped to define the business requirements and the system architecture, I was also instrumental in developing the tools and engines necessary to satisfy the customers needs.

Technologies used: Python (numpy, pandas, pyspark), Java (Spring, Hibernate, GraphQl), JavaScript (React), Apache Spark, Kafka, Hive, Palantir Foundry, AWS, GCP, MySQL, Oracle DB, Neo4j, Docker, Jenkins, Git, Jira and Miro.

D-ONE guides clients through the entire journey towards becoming a data-driven enterprise. From laying out the roadmap and ideating use cases, all the way to managing the transformation and cultural change and building the capabilities together with the client's team.

Data Science Consultant

Clear AI

As a Senior Machine Learning Engineer for Clear AI I designed, developed and maintained different IT solutions fundamental to boost profits for several logistic companies (NHS, Nestle, Kamadjaja, 9Spokes, Tradeshift, Routeique). As a part of that role I helped to define the business requirements and the system architecture, I built expertise in the team with specialised hires and agile management, and I was instrumental in developing the tools and engines necessary to satisfy the customers needs.

Technologies used: Clubhouse, AWS, GCP, Python (numpy, pandas, tensorflow, keras, scipy, NLTK, flask), Java, Scala, JavaScript, Docker, Kubernetes, Terraform, Swagger API, Neo4j, MySQL.

Clear AI partners with businesses that have a wealth of B2B trade data but lack the means and mechanism to realise the value within it. Their platform integrates with partner data-systems and enables the efficient deployment of a growing library of machine learning-driven optimisation modules. Their vision is to enable fair, transparent and efficient economies for everyone by organising and enhancing the world's business information.

Senior Machine Learning Engineer

HUBX

As a Lead Data Scientist for HUBX I designed the AI architecture fundamental to profile and support Private Equity investors in the next best deal research. As a part of that role I helped to define system architecture and roadmaps, built expertise in the team with specialized hires, and was instrumental in developing the tools and engines that power HUBX's AI platform. 

Technologies used: AWS, Python (numpy, pandas, tensorflow, keras, scipy, django), JavaScript (Vue.js, d3.js, jquery), Docker, Kubernetes, Neo4j.

HUBX is the premier capital raising and private placement solution for professionals. HUBX transforms the way investment networks execute private deals by providing end-to-end solutions to streamline the capital raising and distribution process.

Lead Data Scientist

Exprivia Spa

As a Data Scientist consultant for Exprivia Spa I built several Machine Learning models and Big Data solutions for Banking clients all over the Europe. As a part of that role I helped clients to define both product requirements and system architectures. 

Technologies used: AWS, Python, Java (Spring, Hibernate), Scala, Spark, Cloudera, Hive, Kafka, Talend, Sqoop, Solr. 

An international ICT specialist, the Exprivia group leverages digital technologies to steer the business drivers of change for its customers.

Senior Data Scientist

Dynamic, engaging and successful Problem Solver with a significant background in the Tech industry. Areas of expertise include Data Engineering, Machine Learning, Big Data Architecture and Distributed Computing. Result-focused and self-motivated professional always looking for new challenges.

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