About Me

About Me

About Me

Professional Summary

Application Support Engineer with 0+ years of experience in L2/L3 production support, incident management, root cause analysis, and 24×7 operational support across telecom, retail integration, and enterprise systems. Supported platforms used by 0M+ users, resolved 0+ weekly tickets, and maintained 0% SLA compliance with 0% uptime.

Strong hands-on expertise in SQL, Python, ServiceNow, Remedy, Linux, and Windows — building automated pipelines, live monitoring dashboards, and data quality workflows for mission-critical environments. Most recently worked as a Data Analyst at Vesaw Infotech, delivering retail data analysis, Power BI dashboards, and SQL/Python reporting for a major UK grocery client.

Currently based in London, United Kingdom and available immediately. MSc in Data Science (Merit) from the University of Gloucestershire. I thrive in SLA-driven, 24/7 environments where technical precision and fast incident resolution are essential.

"Let's build smarter solutions together! I value professional connections, so feel free to reach out."

30M+
Users Supported
150+
Weekly Tickets Resolved
98%
SLA Compliance Rate
5+
Years Experience

Technical Toolkit

A multi-disciplinary stack focused on High-Availability Operations and Data Intelligence.

Application Support & Ops

L2/L3 production support, incident management, and 24×7 on-call operations in SLA-driven environments.

L2/L3 Support Incident Management RCA SLA Management 24×7 On-Call ITIL

Programming & Automation

Building automation scripts, data pipelines, and backend tooling to eliminate manual toil.

Python Bash/Shell CRON REST API R JavaScript

Data & Databases

SQL query optimisation, schema design, and data quality validation across relational platforms.

SQL Server PostgreSQL Oracle MySQL Snowflake PySpark

Tools & Platforms

Enterprise ITSM and collaboration platforms for ticket management, monitoring, and documentation.

ServiceNow Remedy Siebel Active Directory Confluence SharePoint

Analytics & BI

Building live dashboards and predictive models that transform raw data into operational intelligence.

Power BI Tableau Pandas/NumPy Scikit-Learn Excel (VBA) Matplotlib

Cloud & Infrastructure

Deploying and managing cloud environments, containerised workloads, and OS-level infrastructure.

AWS Azure Docker Kubernetes Linux/Windows Apache Tomcat
My Resume

My Resume

Education

MSc in Data Science

Sep 2022 - Aug 2024

University of Gloucestershire, United Kingdom

Classification: Merit

  • Advanced Statistical Programming: Developed complex Python scripts and Jupyter Notebooks for automated data extraction, cleaning, and exploratory data analysis (EDA).
  • Business Intelligence & Visualization: Applied core principles of data storytelling using Power BI, Tableau, and Matplotlib to transform raw datasets into actionable executive insights.
  • Machine Learning & Predictive Modeling: Designed and optimized Supervised/Unsupervised learning models, focusing on business optimization, trend forecasting, and algorithmic efficiency.
  • Applied Analytics for Business: Specialized in utilizing SQL and Python to solve real-world operational challenges, bridging the gap between technical data and commercial strategy.

BSc (Hons) in Software Engineering

Oct 2016 - Dec 2019

University of Plymouth, United Kingdom

Classification: Second Class Honours, Upper Division (2:1)

  • Database Architecture & Management: Specialized in Relational Database Management Systems (RDBMS), focusing on advanced SQL, schema design, and query optimization for high-availability applications.
  • Systems & Network Administration: Trained in the configuration and maintenance of robust Network Infrastructures, server management, and system security protocols.
  • Enterprise Software Development: Mastered Java-based software engineering for web-scale applications, emphasizing MVC architecture and object-oriented design patterns.
  • API & Web Engineering: Engineered RESTful APIs and modern web platforms, integrating diverse backend services with scalable frontend technologies.
  • IT Governance & Ethics: Comprehensive study of UK IT legislation, data privacy (GDPR), and professional ethics within the technology sector.

Certificate in Computer Science

Oct 2015 - Feb 2016

National Institute of Business Management

GCE Ordinary Level(O/L)

2012

CERTIFICATIONS & AWARDS

Developing a Google SRE Culture

2024 · Google

Statistics

2022 · Stanford University

🏆 Service Excellence Award (×2)

Virtusa

Awarded twice for outstanding performance in project execution and production support delivery.

Professional Experience

Data Analyst

Feb 2025 – Apr 2026

Vesaw Infotech – London, United Kingdom

  • Retail Data Analysis: Analysed pricing, promotion, and inventory datasets for a major UK grocery retail client using SQL and Python, identifying trends and data quality issues to support business decision-making.
  • Dashboard & Reporting: Built and maintained live Power BI dashboards to track KPIs across sales, stock, and promotions — enabling stakeholders to self-serve insights and reduce manual reporting effort.
  • Data Pipeline Validation: Profiled and validated data from relational databases, REST APIs, and CSV/Excel/JSON files — identifying source-to-target mismatches and data quality defects to ensure clean, reliable reporting.
  • Insight Delivery: Delivered ad-hoc and scheduled analysis reports to client stakeholders, translating raw data into actionable recommendations through Python, SQL, and Excel (VBA).

Operations Engineer (L2/L3 Application Support)

Oct 2020 – Sep 2022

Virtusa – Colombo, Sri Lanka

  • Mission-Critical Support: Delivered L2 application support for MTN MNP systems serving 0M+ subscribers, resolving 0+ weekly tickets via ServiceNow and Remedy with 0% SLA compliance and 0% uptime.
  • MTTR Reduction: Reduced MTTR by 0% through structured RCA, Linux log analysis, Windows event checks, and SQL validation — implementing permanent fixes for recurring incidents.
  • Live Monitoring Dashboards: Built dashboards using Python, R, REST APIs, and SQL to monitor server health, daily MNP transaction activity, ticket queues, failed transactions, error logs, and SLA performance.
  • Automation: Automated scheduled health checks, log parsing, and status report generation using Python, Bash, Shell scripting, and CRON — reducing manual overhead by 0%.
  • Performance Tuning: Optimised SQL with advanced indexing, triggers, and stored procedures — improving data retrieval speeds for large-scale subscriber databases by 0%.

Associate Operations Engineer

Mar 2020 – Oct 2020

Virtusa – Colombo, Sri Lanka

  • Enterprise Integration: Delivered L3 support for BizTalk EAI applications, ensuring seamless data synchronisation across 0+ global retail locations in line with ITIL protocols.
  • Change Management: Led onboarding for new markets and managed change activities with stakeholders to deploy updates without service interruption.
  • Workflow Automation: Built automated solutions using Microsoft 365 Power Automate, reducing manual repetitive tasks and improving cross-team coordination.

Trainee Software Engineer

Dec 2019 – Feb 2020

Co-operative Insurance Company Limited – Colombo, Sri Lanka

  • Backend Optimisation: Supported backend systems handling 0+ queries per minute, improving SQL queries to enhance stability and response time for financial transaction processing.

Career Development & Leadership Experience

(Undertaken alongside MSc studies, UK 2022–2025)

Store Supervisor

Nov 2024 – Jan 2025

Starbucks – Cheltenham, UK

Shift Manager

Sep 2023 – Nov 2024

Taco Bell – Cheltenham, UK

  • Orchestrated multi-shift team schedules, reducing overtime by 0% through strategic rota optimisation.
  • Monitored daily sales and labour metrics to adjust operational strategy in real time.

Supervisor

Apr 2023 – Sep 2023

The Range – Cheltenham, UK

Technical Portfolio

Case Studies & Solutions

A showcase of enterprise-scale deployments, data science research, and full-stack engineering.

  • All Solutions
  • Data Analysis (Vesaw)
  • Enterprise (Virtusa)
  • Data Science (UoG)
  • Engineering (UoP)
UK Grocery Retail Data Support

UK Grocery Retail — App & Data Support

SQL · Python · Log Analysis · REST API

Supported pricing, promotion, and inventory data pipelines for a major UK grocery retailer — diagnosing production defects, validating reports, and reducing manual checks through automation.

Telecom System Optimization

MNP System Optimization

Telecom Operations • Python • SQL

Architected automated workflows for MTN South Africa, boosting efficiency by 25% for 30M+ subscribers and resolving 150+ weekly incidents.

Global Data Transfer

Global Data Sync Solution

BizTalk EAI • Enterprise Architecture

Engineered a global synchronization pipeline for 34,000+ McDonald's locations, ensuring data consistency across international markets.

FinTech Android Application

Packer: FinTech Mobility

Android • Firebase • Google Maps API

A dual-app ecosystem for parking management. Integrated digital payments that slashed transaction times by 75%.

Consumer Analytics

DataCraft: Consumer Analytics

Python • Power BI • Applied Data Science

A comprehensive toolkit for business analysis, transforming raw consumer data into predictive growth strategies.

ML Fraud Detection

ML Fraud Detection Engine

NLP • Machine Learning • Scikit-Learn

Developed an advanced classification model to detect and mitigate fraudulent email patterns using NLP techniques.

Growth Path

Career Journey

Connecting the milestones: from graduate to data-driven operations leader.

2019: BSc Graduation
BSc Graduation
2020: Virtusa Engineer
Virtusa
2022: UK Relocation & MSc
UK Arrival
2024: MSc Graduation
MSc Graduation
AFFILIATIONS AND MEMBERSHIPS

AFFILIATIONS AND MEMBERSHIPS

BCS

British Computer Society

IET

Institution of Engineering and Technology

Contact

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