Profile
I’m Thamizhvaanan Ilango, a data analyst with a strong foundation in computer science and a passion for turning raw data into actionable insights.
With hands-on experience in data wrangling, exploratory analysis, dashboard creation, and segmentation techniques, I focus on solving real-world problems using data. I enjoy uncovering trends, building compelling visual stories, and contributing to data-driven decision-making processes.
I’m comfortable working independently or in teams, and I bring both analytical thinking and a creative eye to my projects. My approach blends technical expertise with business understanding, always aiming to deliver value through data.
Education
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MSc Data Science, Cardiff Metropolitan University, UK
Distinction (70%) | Graduated: 2023-
Focus: Machine Learning, Data Visualization, Predictive Modelling, Big Data
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Built multiple data-driven projects using Python, SQL, and Tableau
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B.Tech. Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, India
First Class (8.29 CGPA) | Graduated: 2021-
Core Subjects: Data Structures, Database Management Systems, Algorithms
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Participated in tech fests, coding challenges, and mini-projects
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Tools and Technologies
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Programming & Scripting: Python (Pandas, NumPy, Matplotlib, Seaborn, Plotly), SQL
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Data Visualization: Tableau, Power BI, Excel, Plotly
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Machine Learning & Analytics: K-means Clustering, Regression, RFM Analysis, Predictive Analytics
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Data Handling & Storage: CSV, Excel, APIs, Google Sheets, SQLite
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Platforms & Tools: Jupyter Notebook, Google Colab, Git, GitHub
Key Expertise
Data Analysis
Extracting, cleaning, and analyzing data to uncover patterns and trends that support data-driven business decisions. Skilled in Python, SQL, and Excel for day-to-day analysis.
Predictive Modelling
Building and evaluating machine learning models (e.g., regression, clustering, RFM) to forecast outcomes and segment customers for targeted strategies.
Data Visualization
Designing impactful dashboards and visual reports using Tableau, Power BI, and Plotly to effectively communicate insights to both technical and non-technical stakeholders.
Data Storytelling
Translating analytical findings into clear, concise stories that influence strategy and drive actions — using narrative structure and compelling visuals.
End-to-End Project Execution
Capable of managing the full data pipeline — from data collection and cleaning to model deployment and dashboarding — with a problem-solving mindset.