multiple_docs/cv.txt

Experienced client facing Data Scientist/Machine Learning Engineer with
cloud engineering expertise (Azure / Databricks / Synapse / AWS / GCP) and a robust understanding of MLOps 
Capable of creating and deploying machine learning models and pipelines
for NLP, recommender systems, deep learning, image recognition, Chatbots
Proficient in leveraging Hugging Face or open.ai platforms for fine-tuning large language models (LLMs) 

PROFESSIONAL EXPERIENCE
Data Scientist (contract),  Sky TV, London, 02/2024 to now
Development of machine learning algorithms (both supervised and unsupervised) for fraud detection and building of MLOps pipelines
(Google Vertex AI, Kubeflow pipelines, GCP, Big query)

Principal Data Scientist (contract),  Neurons Lab, London, 02/2024 to 03/2024
Responsible for managing the delivery of a Chatbot for the Madrid Mutua Tennis Open (4 Weeks project)

Data Scientist (contract),  Deloitte, London, 07/2023 to 11/2023
On secondment at Fable Data, a leading financial data/payment aggregator and data science company:
Hands on role, responsible for leading a pod/end to end product development for the spanish market. Delivered an algorithm (CI/CD) that classified financial transactions so that the data can be sold as an end product -expected to generate between £500,000 to £1M
(Azure, Python, Data Factory, Synapse, Vscode, Neural Networks, MLflow, NLP, Regex, NER, Git)

Lead Data Scientist (contract), Webhelp , London,  05/2021 to 05/2023
Developing NLP algorithms using call transcripts in order to analyse and improve CS
Delivering projects from configuring cloud services / running transcriptions to developing models and metrics and mentoring junior staff
Built a monitoring tool (in production) enabling to cut call analysis/coaching time by 80%  + NLP apps in Shiny 
Analysis of E-Commerce proactive chat initiatives for IKEA UK + insight/dashboard generation ; contributed to a winning team that secured a bid by leveraging incremental sales performance driven by analytical recommendations
Segmentation and automated reporting process for Atos and one of its financial services clients 
Stakeholder management and coaching of junior resources, resource planification
(Spark, Python, Databricks/Azure, Power BI)

Data Scientist (contract), EDF Energy, Brighton, 11/2019 to 05/2021
Part of EDF's BlueLab AI team, aiming to improve customer service through the use of NLP algorithms
Semantic matching of CS electric vehicles Q&A, topic detection from CS conversations, algorithm for address matching, classification, and web traffic analysis
Automated web scraping to cut manual research time by 90% 
Stakeholder management and planning of projects
(Python, PyTorch, Spark, NLTK, SpaCy, AWS, Sagemaker, Athena, Tableau, Google Analytics, Agile Environment)

Senior Data Scientist (contract), GVC - Ladbrokes, London, 05/2019 to 11/2019
Working alongside dev ops and data engineering to deliver a recommender system into production. The recommendation engine was expected to deliver over £1M incremental sales. Also developed visualisation dashboards for monitoring results 
(Python, AWS, SageMaker, Athena, Docker, Airflow, PowerBI, Agile Environment)

Senior Data Scientist (contract), Huawei, Milan, 02/2019 to 05/2019
Social Media Listening and NLP Analytics across key European markets project 
(Python, GCP, Selenium, NLP)


Senior Data Scientist (contract), Huawei, Shanghai,  01/2018 to 02/2019
Development of Machine Learning Algorithms using Python & SQL to improve user experience for flagship handsets: behavioural analysis, app usage prediction, app usage segmentation. Also 	built an initial ChatBot for Customer Service (using Flow XO) and delivered several NLP projects: CS call classification algorithm to cut processing times dramatically, sentiment analysis, etc
(Python, Keras, NLTK, Gensim, spaCy)

Head of Analytics (consultant), Yocuda (E-Receipts) , London, 03/2014 to 12/2017
Working on a consultancy basis to deliver analytical projects for ER’s retail clients:
Complete retail segmentation framework using unsupervised learning (Lifestyle, RFM, Mission and Master Segmentation) for a leading UK supermarket used across the business for driving offers, communications and insight
Range reviews, delisting of products, revenue analysis, and campaign evaluation 
Improved targeting of campaigns to deliver thousands of incremental spend
(GCP, Python, Bigquery)


Senior Data Scientist (contract), Huawei Ireland, Cork, 07/2013 to 01/2019
Delivery of Data Mining & Analytics services for Huawei and its major partners across Europe and Asia:
IOT Machine Learning Analytics (supervised + unsupervised)
Object Detection/Recognition and Image Classification
Deep Learning Algorithms (Agtech project for Deutsche Telekom)
Full segmentation project based on mobile app usage for China Unicom (Shanghai)
Churn propensity models for XL Indonesia (Jakarta) using CRM and call quality data
Forecasting algorithms for predicting network events for China Mobile (Hangzhou)
(Scikit Learn, Pandas, PIL, Keras, Tensorflow, Caffe, Dlib, OpenCV, YOLO)


Head of Analytics (UK), Emnos, London, 04/2011 to 07/2013
Initially joined as an analytics manager. Hands on role, responsible for managing and leading UK analytics department (team of 10):
Planning, recruitment, driving analytical approaches/delivering analytics projects (both
supervised and unsupervised learning) ; part of the UK Management Team
Single customer view and creation of multiple segmentation lenses (value, behavioural,
potential, engagement and attitudinal) across entire Co-op Group
Full segmentation project, propensity model development and data mining (from initial pitch
to delivery and activation/socialisation) for Premier Inn / Whitbread
Other clients included: Camelot, SportingBet, Ladbrokes, BlueSq/Rank & Morrisons


Intelligence Manager, T-Mobile UK, Hatfield,  09/2007 to  03/2011
Initially joined as a Senior Statistical Analyst. Responsible for the development of churn, cross-sell, up-sell, value and proposition optimization models (logistic regression, CHAID, classification techniques) using SAS and Enterprise Miner 5.2. The models developed saved thousands of customers. This also involved the recruiting and mentoring of analysts/senior analysts

Senior Analyst, Planning-inc, London,  01/2005 to  09/2007
Working on British Telecom (BT) account to deliver insight, segmentation, propensity models, reporting

Senior Data Analyst, Wunderman Automotive / Y&R, London,  09/2002 to 01/2005
Production of analytical projects for Wunderman’s key clients (FORD, Jaguar, Mazda and Hewlett Packard)

Product Development Analyst, Schroders Investments, London,  01/2001 to 09/2002
Used analytics to propose a new pricing structure for funds ; this generated over 8M incremental revenue. The role involved dealing with stakeholders at a very senior level on a regular basis


EDUCATION
LangChain in Action: Develop LLM-Powered Applications			     2024
Azure Data Factory +Synapse Analytics End to End ETL project, Udemy			     2023
Scala & Functional Programming Essentials, Udemy			     2023
MLOps Specialisation: Machine Learning Operations, Duke University, Coursera			     2023
Snowflake the Complete Masterpiece, Udemy			     2023
Looker and LookML, Udemy			     2023
NLP Specialization through deeplearning.ai, Coursera			     2022
Pytorch for Deep Learning with Python, Udemy			     2021
Spark and Python for Big Data with PySpark, Udemy		   	     2020
Deep Learning Specialization through deeplearning.ai, Coursera			     2018
MBA, Warwick Business School, UK                                                             			     2006
B.A. (HONS) International Marketing Management (2:1),  Bournemouth University			     1995
French Baccalaureate (distinction), Annecy, France			     1991

TECHNICAL SKILLS
Python, Scala, PyTorch, Spark , KeraS ,AWS Lambda, Langchain, Container Apps, Github Actions, CI/CD, Bigquery , SQL, Athena, Databricks/Azure, Data Factory, Synapse, AWS , S3, GCP, Vertex AI, SageMaker , Docker, PowerBI / DAX, Tableau , Google Data Studio , Looker, Snowflake, Shiny, Roboflow
kubeflow