Analytical Data Scientist with expertise in business intelligence, statistical analysis, and machine learning. Transforms complex datasets into actionable insights that enhance strategic decision-making and operational efficiency. Skilled in SQL, Python, Power BI, Tableau, and ETL processes, effectively communicating analytical findings to stakeholders.
Overview
7
7
years of professional experience
Work History
Data Analyst
Independent Contractor
01.2025 - Current
Developed and executed complex SQL queries to extract, transform, validate, and analyse large datasets, enhancing reporting efficiency.
Build scalable ETL pipelines integrating data from multiple sources to support consistent and reliable reporting.
Design and deploy interactive Power BI and Tableau dashboards to provide stakeholders with visibility into KPIs, trends, performance, and business outcomes.
Conducted exploratory and statistical analysis to identify trends, patterns, and anomalies, uncovering key business opportunities.
Perform profitability, cost-benefit, and performance analyses to identify opportunities that contributed to a 12% increase in investment ROI.
Consolidate and standardise disparate datasets into a single source of truth, achieving 100% alignment across reporting streams.
Translated analytical findings into actionable recommendations, facilitating informed business and operational decision-making.
Collaborate with stakeholders to understand analytical requirements and develop data-driven solutions aligned with business objectives.
Administrative Assistant
The Pro Masters Consulting
01.2024 - 12.2024
Maintained accurate records and supported daily administrative activities, ensuring smooth operational flow.
Streamlined administrative data management by organising and digitising business records, enhancing accessibility and retrieval efficiency.
Developed structured tracking systems to improve reporting accuracy and strengthen customer relationship management.
Created Excel-based performance tracking tools, providing clear operational insights to assist management decision-making.
Analysed client enquiry data to identify trends and improve communication workflows, reducing response turnaround times by 20%.
Analysed customer engagement trends and provided insights that supported improvements in service delivery and customer satisfaction.
Business Analyst
Etsbeautyroom
01.2020 - 12.2024
Analysed customer behaviour, sales performance, and operational data to identify growth opportunities that contributed to a 15% increase in revenue.
Conducted pricing and service performance analysis, identifying improvements that contributed to an 18% increase in customer retention.
Developed analytical reports and dashboards, enhancing performance monitoring and facilitating informed management decision-making.
Leveraged data-driven insights to refine customer segmentation, optimise marketing efforts, inform pricing strategies, and improve service delivery.
Analysed digital marketing campaign performance and customer conversion trends, contributing to a 20% improvement in conversion rates.
Transformed raw transactional data into structured datasets, enabling targeted marketing, operational insights, and strategic business growth.
Designed and implemented a structured MySQL data pipeline, improving reporting capabilities and operational visibility by 25%.
Education
BSc - Data Science & Analytics
University of Westminster
United Kingdom
01-2026
Skills
SQL
Data Extraction
Data Cleaning
Data Preprocessing
Data Integration
ETL Development
Data Warehousing
Data Quality
Data Validation
Exploratory analysis
Data Analysis
Statistical Analysis
Predictive Analytics
Predictive modelling
Time Series Analysis
Forecasting
Machine Learning
Deep Learning
Feature Engineering
Model Development
Model Evaluation
Data Visualisation
Dashboard Development
KPI Reporting
Performance Analysis
Business Intelligence
Customer Segmentation
Behavioural Segmentation
Storytelling
Python
Pandas
NumPy
SciPy
Scikit-learn
Power BI
Tableau
MySQL
MongoDB
SQL Databases
Advanced Excel
Pivot Tables
Power Query
GitHub
Basecamp
GeminiGrok
Prompt design
Stakeholder Management
Requirements Analysis
Process improvement
Problem Solving
Critical Thinking
Communication
Presentation
Collaborative teamwork
Basecamp
GeminiGrok
Prompt design
Data analysis
Accomplishments
Improved reporting efficiency by 10% through SQL-based data extraction, transformation, and reporting solutions.
Increased investment ROI by 12% through profitability analysis and revenue optimisation recommendations.
Contributed to 15% revenue growth through customer behaviour analysis, sales trend evaluation, and data-driven insights.
Improved customer retention by 18% through behavioural segmentation and targeted engagement strategies.
Increased marketing conversion rates by 20% through campaign performance analysis and optimisation.
Developed Power BI dashboards that improved marketing effectiveness by 25% through identification of high-value customer segments.
Consolidated multiple data sources into a single source of truth, achieving 100% data alignment across reporting streams.
Custom
Digital Behaviour Compass - Phone Usage & Product Strategy, Conducted comprehensive analysis of screen time, data usage, application engagement, and spending patterns across multiple demographic groups., Used SQL and Excel for data extraction, cleansing, validation, transformation, and analysis., Developed interactive Power BI dashboards incorporating KPI cards, behavioural segmentation, trend analysis, and correlation visualisations., Applied statistical analysis to identify customer behaviour patterns and generate insights for product strategy., Produced data-driven insights that improved understanding of customer behaviour by 25%.
Sales Performance & Customer Behaviour Analysis, Analysed multi-channel sales and marketing data to evaluate campaign effectiveness, customer acquisition, conversion, and revenue performance., Developed dashboards monitoring sales funnel performance, customer segmentation, campaign ROI, and conversion trends., Identified performance trends and opportunities for marketing optimisation., Delivered recommendations to improve marketing efficiency and resource allocation.
User Behaviour & Revenue Opportunity Analysis, Analysed user behaviour and revenue opportunities within a mobile technology environment., Extracted, transformed, and validated datasets using SQL and Excel., Developed Power BI dashboards analysing e-commerce spending, social media usage, demographic characteristics, and device preferences., Identified behavioural patterns and revenue opportunities to support product development and marketing strategy., Presented actionable insights to support business growth and customer engagement decisions.