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Hussain Zaidi

Senior Data Scientist

BT

Technologies

My Portfolio Highlights

My New Project

Analyzing Crime in Los Angeles

My New Course

Supervised Learning with scikit-learn

My New Project

Analyzing Crime in Los Angeles

Insights curator, unlocking the power of data for strategic advantage.

My Work

Take a look at my latest work.

project

Analyzing Crime in Los Angeles

course

Supervised Learning with scikit-learn

course

Intermediate Data Visualization with Seaborn

project

Analyzing Crime in Los Angeles

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Data Manipulation with pandas
Supervised Learning with scikit-learn
Large Language Models (LLMs) Concepts
Introduction to Functions in Python

My Work Experience

Where I've interned and worked during my career.

BT Group | Feb 2024 - Present

Data Science Manager

In charge of developing and executing AI-driven forecasting strategies, optimising financial models, integrating Causal ML for churn analysis, and enhancing business decision-making through advanced ML solutions. Key Accomplishments: • Spearheaded the development of an innovative churn propensity model, where we identified causal drivers of churn, which helped prescribe tailored interventions for at-risk customers. Improved customer retention for mobile (by 6%) and broadband (by 13%) in the UK market. • Directed the experimentation program for AI-driven business optimisation, running 200 structured A/B tests in 12 months, identifying high-impact model improvements, and implementing 5 new features. • Designed an innovative LLM into the customer support call cycle, eliminating average response times from 23 minutes to immediate. Customer satisfaction scores in QA have improved by 32%, resulting in an achievement of £8.3m in cost savings.
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Vodafone | Jan 2022 - Jan 2024

Lead Data Scientist

Primary strategy and technical lead on 4 global data science streams for Commercial and Finance products. Headed a team of 12 Data Scientists and ML Engineers in the UK, India, Egypt, and Spain in this role. Key Accomplishments: • Launched a multivariate ML forecasting tool, using live data, to enhance store performance. Total revenue growth from UK store sales increased by 8% in 6 months post-release. Has since been rolled out for Spain, Italy, and Hungary. • Lead for the development of multiple ML models for 5 key regions across EMEA. Initial focus was on reimagining the CLTV, forecasting, and churn propensity models to better understand the current consumer base. This resulted in the development of an all-new recommendation engine which improved customer retention by an average of 9.6% across all regions. • Oversaw the development and implementation of a customer segmentation model that improved marketing campaign effectiveness by 30%, driving an increase in customer engagement and a 12% uplift in conversion rates against key competitors.

Inmarsat | Dec 2018 - Jan 2022

Senior Data Scientist

Responsible for leading advanced analytics projects, developing machine learning models to drive strategic decisions, and mentoring junior data scientists to enhance team capabilities. Key Accomplishments: • Produced ML forecasting models using neural networks, which when adopted showed accuracies of 97% and replaced the existing manual rolling forecasts, becoming a critical tool for the Financial Planning team. • Promoted the use of ML solutions to identify billing errors prior to sending out customer invoices. Increased billing accuracy from 94.3% to 99.4%, nullifying system errors and reducing the value of monthly credit notes from approximately $250k to under $40k. • Expanded the project workstreams to include Product, Finance, and Business projects.

Microsoft | Jul 2014 - Aug 2016

Data Scientist

Principal technical lead in the Ventures team with responsibilities for building and validating data models, cleaning and preparing datasets for analysis, and developing scalable modelling pipelines. Key Accomplishments: • Headed the creation of 6 dynamic BI Dashboards for the Microsoft Ventures team, enhancing monthly interaction with visualisation platform by over 200%. • Implemented machine-learning based prediction using multivariate time- series forecasts for major financial KPIs, improving accuracy by 14%. • Designed and built a data pipeline with Python and SQL to track key conversion metrics along with automated PowerPoint outputs ready for immediate use by the sales teams; used in thousands of client conversations.

My Education

Take a look at my formal education

MSc in Information SecurityUniversity of Surrey | 2017
MEng in Electronic and Electrical EngineeringLoughborough University | 2015

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