Data Analyst
I’m a Data Analyst driven by a simple idea: turning complex data into clear, actionable insights that support better decisions.
Currently part of the Binance Accelerator Program, I work at the intersection of data analytics and compliance, applying analytical thinking to real-world problems in fast-paced, data-intensive environments.
I bring a strong foundation in Python, SQL, and BI tools, with hands-on experience building ETL pipelines, KPI dashboards, and data models that prioritize accuracy, scalability, and business relevance.
What differentiates me is my ability to bridge technical and non-technical contexts. I translate business requirements into analytical frameworks, understand industry constraints, and communicate insights clearly to stakeholders.
For me, analytics goes beyond accuracy—it’s about anticipating needs and designing solutions that fit real decision-making processes.
I’m adaptable and curious by nature, continuously exploring modern data workflows, including automation and workflow orchestration with Airflow, to improve reliability and efficiency.
I place strong emphasis on data security, data integrity, and compliance-safe usage, focusing on building automated reporting systems and internal data assistants that enable teams to work with data effectively without compromising governance.
A full-stack marketing analytics pipeline simulating a real-world e-commerce business case. Using Brazil’s Olist marketplace dataset, I built a PostgreSQL database, engineered KPIs, and performed product segmentation using PCA + KMeans. The result is a Streamlit dashboard that enables strategic decisions for marketing and inventory optimization.
Skills: PostgreSQL, Docker, ETL (Pandas), PCA, KMeans, Streamlit, Plotly
This project forecasts 1-, 3-, and 7-day stock prices by combining sentiment analysis from Twitter with market data. It uses statistical models (ARIMAX, SARIMAX) and deep learning models (LSTM, GRU), all powered by a scalable big data architecture.
Built on a Lambda architecture with Apache Spark and HDFS, it benchmarks four databases and delivers real-time predictions via a Streamlit dashboard.
Skills: PySpark, HDFS, Spark NLP, ARIMAX, LSTM, GRU, YCSB, Dashboarding
This Master’s project compares two AI models SRCNN and Real-ESRGAN for enhancing retro game visuals by reconstructing pixel details. These models upscale low-res images while reducing storage needs producing images up to 10× smaller in file size.
A big data pipeline using Hadoop HDFS and Apache Spark enabled scalable processing of game screenshots and high-resolution training data (DIV2K).
Skills: PyTorch, HDFS, Spark, OpenCV, Image Upscaling, PSNR/SSIM, Neural Networks
This project focuses on analyzing production-related factors that influence agricultural export values in Ireland. It employs statistical and predictive modeling techniques to uncover trends and provides actionable insights for optimizing production and pricing strategies.
Skills: Data analysis, predictive modeling, dashboard development, CRISP-DM methodology
Deploy the Dashboard View on GitHub
This project applies clustering techniques to an e-commerce dataset to segment customers based on their behavior. Customer segmentation enables businesses to tailor marketing strategies, improve customer engagement, and increase overall profitability.
Skills: Customer Segmentation, Clustering
View on GitHub
Designed and normalized a relational database schema for employee management, achieving 3NF. Wrote advanced SQL queries for data retrieval, aggregation, and manipulation to support operational analysis.
Skills: Database normalization, SQL (joins, views, stored procedures), ER modeling
View on GitHub
CCT College Dublin
Sep 2024 - Jun 2025
Skills: Advanced Data Analytics, Programming for Data Analytics, Predictive Modeling, Machine Learning, Research and Professional Ethics, Big Data Storage and Advanced Data Analysis.
CCT College Dublin
Sep 2023 - Jun 2024
Skills: Strategic Thinking, Machine Learning, Statistical Techniques for Data Analysis, Data Preparation, Data Visualization Techniques, Machine Learning for Business.
CCT College Dublin
Sep 2022 - Jun 2023
Grade: Distinction
Skills: Java, HTML, CSS, JavaScript, MySQL, Agile Methodologies.
My CV is available upon request. Please click below to send me an email.
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