I'm a Data Analytics professional with a First-Class Honours MSc in Data Analytics (Machine Learning) from the National College of Ireland, and over 4.5 years of hands-on experience in global enterprise IT environments at Capgemini Technology Services.

My background spans Major Incident Management, Problem Management, and Automation Engineering within IT Service Management, working closely with distributed technical teams across multiple regions and time zones to improve system reliability, service performance, and operational efficiency.

I have a strong foundation in Python programming and enjoy using it to automate data extraction, processing, and reporting workflows. I've built automation solutions that significantly reduced manual effort, improved reporting accuracy, and accelerated stakeholder decision-making — cutting weekly report generation time by 75% and eliminating manual effort for 14–16 team members across critical reporting functions.

I bring solid experience in Root Cause Analysis, SQL/PostgreSQL, and ETL workflows, and I'm actively growing my knowledge in Data Engineering, Machine Learning, and Generative AI.

I'm ITIL V3 certified and comfortable operating in high-pressure environments. I value clear communication, structured problem-solving, and turning messy operational data into actionable insights.

• 🌍 Based in Dublin, Ireland
• 🎯 Open to Data Engineer and Data Analyst roles
• 👥 Looking to collaborate on data, analytics, and automation projects
• 📚 Currently self-studying cloud data platforms and AI/ML pipelines
• 💬 Fun fact: I enjoy reading Sci-fi and Fantasy fiction

A desktop barcode scanning and digital receipt management application built with Python.

Built an end-to-end desktop application that allows users to scan retail barcodes via webcam, store and label them in a local database, and retrieve or delete records when needed. Demonstrates practical software engineering across computer vision, database management, GUI development, and multi-threaded processing.

Key Skills Demonstrated: Python · OpenCV · ZXing · SQLite · Flet · Multi-threading · Data Persistence · UX Design

Automated data extraction from PDFs to Excel, including pivot table generation.

Developed a Python tool that extracts targeted text and tables from PDF files, exports the structured data to Excel, and auto-generates pivot tables for analysis. Directly applicable to ETL and reporting automation workflows in data engineering environments.

Key Skills Demonstrated: Python · PDF Parsing · Excel Automation · Data Extraction · ETL · Reporting

A structured collection of SQL exercises and queries from the Udemy "Master SQL for Data Science" course.

Repository of SQL scripts covering core to advanced querying concepts including joins, subqueries, window functions, aggregations, and data manipulation — aligned with real-world data analytics use cases.

Key Skills Demonstrated: SQL · Data Querying · Analytical Thinking · Database Design

MSc thesis project — detecting exoplanets from stellar light curves using an ensemble of CNN, K-NN, and Random Forest models.

Trained and evaluated four ML models (CNN, Random Forest, K-NN, SVM) on light curve images from NASA's Kepler, K2, and TESS missions. The best-performing ensemble (CNN + K-NN + RF) achieved an F1 score of 0.68 and recall of 0.70 on unseen test data. Awarded First-Class Honours.

Key Skills Demonstrated: Python · TensorFlow · Scikit-learn · CNN · Ensemble Learning · Computer Vision · EDA · NASA Exoplanet Archive

Additional projects currently in the pipeline — watch this space!

Real Time Air Pollution Monitoring System New Horizon College of Engineering, Bangalore · May 2017

An IoT-based system for real-time detection and monitoring of atmospheric pollutants (CO2, CO, LPG, Smoke, Methane) using Arduino UNO R3 with MQ135, MQ2, and DHT11 sensors. Data was transmitted to a web portal and Android devices, with analysis of the correlation between CO2 concentration and ambient temperature.

Tech Stack: Arduino · IoT · Sensors · HTML · CSS · Bootstrap · Android

"Real Time Monitoring of Change in Temperature with CO2 using IoT" International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) Vol. 5, Issue 5, May 2017 · DOI: 10.15680/IJIRCCE.2017.0505205 · Certificate No: V5I5C425

Investigated the real-time relationship between CO2 concentration and temperature using IoT sensors deployed in Bangalore. Demonstrated a measurable positive correlation between rising CO2 levels (591–655 ppm) and ambient temperature across 20 field measurements.

"A Technical Review on Health Monitoring System at Household Using IoT" International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) Vol. 5, Issue 5, May 2017 · DOI: 10.15680/IJIRCCE.2017.0505176 · Certificate No: V5I5C377

A technical review of IoT-based ubiquitous health monitoring using smart household devices (Smart Mouse, Mirror, Chair) to measure vital signs including heart rate, temperature, blood pressure, and respiratory rate, with output delivered via web portal and Windows mobile application.

Issued by: Capgemini · AXA Service Control Lead  |  Feb 2021

Presented to Vishal Petkar for his valuable contributions and commitment to excellence.

Issued by: Capgemini · AXA Service Control Lead  |  May 2020

Recognised for an extraordinary improvement in role performance, appreciation from Global Stakeholders, and taking the key initiative of self-learning Python scripting to successfully automate 6 operational reports — saving significant manual effort and time across teams.

Open to Data Engineer and Data Analyst opportunities in Ireland, India and remotely. Feel free to connect!