Experienced client facing Data Scientist who has worked with some of the biggest companies in the UK e.g.
Deloitte, Webhelp, Huawei, T-Mobile, etc. Strong DevOps / MLOps knowledge and cloud engineering. Skills include Py…
Experienced client facing Data Scientist who has worked with some of the biggest companies in the UK e.g.
Deloitte, Webhelp, Huawei, T-Mobile, etc. Strong DevOps / MLOps knowledge and cloud engineering. Skills include Python,
PyTorch, Spark, Keras, Bigquery, SQL, and more. Previous experience includes creating and deploying machine learning
models and pipelines for NLP and recommender systems. Proficient in leveraging the Hugging Face platform for fine-tuning
large language models.
Experienced client facing Data Scientist who has worked with some of the biggest companies in the UK e.g. Deloitte, Webhelp, Huawei, T-Mobile, etc. Strong DevOps / MLOps knowledge and cloud engineering. Skills include Python, PyTorch, Spark, Keras, Bigquery, SQL, and more. Previous experience includes creating and deploying machine learning models and pipelines for NLP and recommender systems. Proficient in leveraging the Hugging Face platform for fine-tuning large language models.
On secondment at Fable Data, a leading data aggregator and data science company.
Hands on role, responsible for leading a pod/end to end product development for the spanish market.
Used Azure, Python, Data Factory, Synapse, Vscode, Neural Networks, MLflow, NLP, Regex, NER, and Git.
Developed NLP algorithms using call transcripts in order to analyse and improve CS.
Delivered projects from configuring cloud services and running transcriptions to developing models and metrics.
Mentored junior staff.
Built a monitoring tool in production.
Built NLP apps in Shiny.
Performed analysis of E-Commerce proactive chat initiatives for IKEA UK and generated insight/dashboard outputs.
Delivered segmentation and automated reporting process for Atos and one of its financial services clients using Spark, Python, Databricks/Azure, and Power BI.
Part of EDF's BlueLab AI team, aiming to improve customer service through the use of NLP algorithms.
Worked on semantic matching of CS electric vehicles Q&A.
Worked on topic detection from CS conversations.
Developed an algorithm for address matching.
Developed classification models.
Performed web traffic analysis.
Used Python, PyTorch, Spark, NLTK, SpaCy, AWS, Sagemaker, Athena, Tableau, Google Analytics, and Agile Environment.
Worked alongside dev ops and data engineering to deliver a recommender system into production.
Developed visualisation dashboards for monitoring results.
Used Python, AWS, SageMaker, Athena, Docker, Airflow, PowerBI, and Agile Environment.
Worked on Social Media Listening and NLP Analytics across key European markets project.
Used Python, GCP, Selenium, and NLP.
Developed Machine Learning Algorithms using Python and SQL to improve user experience for flagship handsets.
Performed behavioural analysis.
Developed app usage prediction models.
Developed app usage segmentation.
Built an initial ChatBot for Customer Service using Flow XO.
Worked on several NLP projects including CS call classification algorithm and sentiment analysis.
Used Keras, NLTK, Gensim, and spaCy.
Worked on a consultancy basis to deliver analytical projects for E-R’s retail clients.
Delivered a complete retail segmentation framework using unsupervised learning for a leading UK supermarket used across the business for driving offers, communications and insight.
Worked on range reviews, delisting, revenue analysis, and campaign evaluation.
Used GCP, Python, and Bigquery.
Delivered Data Mining and Analytics services for Huawei and its major partners across Europe and Asia.
Worked on IOT Machine Learning Analytics using supervised and unsupervised learning.
Worked on Object Detection/Recognition and Image Classification.
Developed Deep Learning Algorithms for an Agtech project for Deutsche Telekom.
Delivered a full segmentation project based on mobile app usage for China Unicom (Shanghai).
Built churn propensity models for XL Indonesia (Jakarta) using CRM and call quality data.
Developed forecasting algorithms for predicting network events for China Mobile (Hangzhou).
Used Scikit Learn, Pandas, PIL, Keras, Tensorflow, Caffe, Dlib, OpenCV, and YOLO.
Managed and led UK analytics department of 10.
Planned and recruited for the team.
Drove analytical approaches and delivered analytics projects using supervised and unsupervised learning.
Was part of the UK Management Team.
Delivered a single customer view and created multiple segmentation lenses across the Co-op Group.
Delivered a full segmentation project, propensity model development and data mining for Premier Inn / Whitbread.
Worked with clients including Camelot, SportingBet, Ladbrokes, BlueSq/Rank and Morrisons.
Developed churn, cross-sell, up-sell, value and proposition optimization models.
Used logistic regression, CHAID, classification techniques, SAS and Enterprise Miner 5.2.
Recruited and mentored analysts and senior analysts.
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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