I am a Data Analyst
applying Artificial Intelligence
to automate analytical workflows and improve efficiency.
Driving loyalty management, personalised targeting campaigns, automation, KPI and financial reporting, and operational improvements with SQL, Python, Excel, Power BI, and Power Automate.
Lifted participation rate through personalized targeting criteria.
About Me
Hey! I'm Dev, a data enthusiast and
analytics professional based in Dublin with over four years of experience
transforming customer, campaign, operational, and financial data into insights
that stakeholders can use.
I've worked across campaign analytics,
financial and KPI reporting, dashboard development, data validation, query
optimisation, and process automation at
Mu Sigma and
Tata Consultancy Services.
My experience includes leading a five-member team delivering
20+ personalised campaigns per month
for a $2.5 million AUD loyalty account,
contributing to a 17% increase in member
acquisition and a
24% reduction in lapsing members.
I completed my M.Sc. in Computing in Data Analytics at Dublin City University
and currently work as Operations Specialist at
Covalen, supporting AIB's card-payment
operations. I am now seeking Data Analyst, Campaign Analyst, Business
Analyst or Data Engineering opportunities in Ireland.
M.Sc.
Master's
Computing in Data AnalyticsDCU, Dublin
B.E.
Bachelor's
Computer ScienceSEC, India
My Skills
What I bring to the table
Four years of hands-on analytics, from SQL and Python for data preparation and automation to Power BI for reporting, experimentation, and machine learning model development.
Data & Programming
SQL
Python
Pandas
NumPy
BI, Reporting & Visualisation
Power BI
Tableau
Excel
Power Query
Dashboarding
Executive Reporting
Analytics & Machine Learning
KPI Tracking
Campaign Analysis
Financial Analysis
Trend Analysis
A/B Testing
Machine Learning Model Building
Platforms, Cloud & Automation
Snowflake
Azure
Power Automate
GitHub
Experience
Where I've worked
Experience across banking operations, loyalty and campaign analytics,
data quality, reporting, and large-scale customer data analysis.
Oct 2025 – PresentLimerick, Ireland
Customer Operations Specialist
Covalen (CPL) · AIB Operations
Banking Operations
Analyse and manage 30–40+ daily card-payment cases
using TSYS, Visa Access, and Arcot, validating customer data and
investigating transaction discrepancies while following GDPR and
operational controls.
Collaborate with 3–4 internal teams to investigate
payment issues, support refunds, and ensure accurate processing,
timely resolution, and SLA adherence.
Impact
Applied transaction analysis and operational controls to support
accurate and timely banking operations.
Aug 2022 – Sept 2023Bengaluru, India
Senior Data Analyst
Mu Sigma · Flybuys Loyalty Programme
Campaign Analytics
Led a five-member team delivering
20+ personalised campaigns per month for Flybuys,
supporting a $2.5 million AUD loyalty-programme account.
Analysed customer purchase behaviour to develop a global
inter-purchase-interval trigger, contributing to a
17% increase in member acquisition, a
24% reduction in lapsing members, and a
six-day reduction in average purchase interval.
Supported the design and implementation of a pre- and post-campaign
transformation framework, delivering an
80% efficiency improvement through standardised
targeting criteria, campaign automation, and near-real-time reporting.
Built reusable Power BI data models, calculated columns,
and DAX measures to report campaign volume, sales performance,
audience reach, and partner-level KPIs, reducing dependency on manual reporting.
Impact
Converted loyalty and customer-behaviour data into personalised
campaigns, automated reporting, and measurable improvements in member engagement.
May 2019 – July 2022Chennai, India
Data Analyst
Tata Consultancy Services
Data Analytics
Used SQL and Python, including Pandas and NumPy, to
clean, transform, validate, and analyse customer and transaction data,
ensuring reliable datasets for reporting and business analysis.
Analysed complex datasets covering 9 million+ users
to identify trends, patterns, and data gaps supporting business decision-making.
Reduced Snowflake query runtime by 30% by developing
and optimising SQL queries using selective clustering keys,
materialised views, and improved micro-partition pruning.
Impact
Improved data quality, analytical reliability, and query performance
for large-scale reporting and analysis.
Projects
Things I've built
/ 01
Aspect-Based Sentiment Analysis
Compared traditional machine learning, lexicon-based methods, BERT, RoBERTa, and GPT-based approaches to identify review aspects and classify sentiment.
Value: Demonstrates Python, NLP, transformer models, model comparison, preprocessing, and evaluation.
Tenant & Landlord Rating Platform for Fairer Housing
Problem
Ireland's rental market creates friction on both sides — tenants face opaque conditions, and landlords struggle to find reliable matches.
Idea
A rating and matching platform where property listings are shown only to applicants matching the landlord's criteria, and ratings surface trust on both sides.
Goal
A fairer, more data-driven rental ecosystem — reducing exploitation and helping both sides make better calls before signing.
Status
Working through the data model and implementation plan. Updates coming soon.
Contact
Let's talk
Looking for an analyst who ships? I'm currently open to Data / Campaign / Financial / Business Analyst or Data Engineering roles in Ireland.