I am an aspiring Data Scientist with a BSc in Software Engineering and currently pursuing an MSc in Data Science at the University of Essex.
My academic and professional journey has given me strong foundations in data analysis, software development, and statistical methods, complemented by practical experience in business intelligence, digital marketing analytics, and dashboard creation.
I am deeply interested in evolving technologies such as AI, ML, and the shift from traditional methods to cloud-based solutions. My goal is to continuously expand my knowledge and apply these modern technologies to solve complex problems and deliver impactful insights.
Outside of my professional work, I am passionate about landscape photography and cinematography, hobbies I have nurtured for over eight years. Travelling allows me to express creativity by capturing unique perspectives, and this passion for storytelling also influences the way I present data and insights.
Brief Intro
Aspiring Data Scientist with hands-on experience in exploratory data analysis, dashboard development, and digital marketing analytics. Skilled in Python, SQL, Power BI, and Tableau, with a strong interest in AI and real-world data applications. I aim to bridge technical expertise with business impact.
Work History
Data Analyst Associate Intern — Excelerate (Mar 2025)
- Cleaned, analysed, and structured raw data into actionable insights
- Developed dashboards in Looker Studio to highlight business metrics
- Conducted EDA and presented findings with clear storytelling techniques
- Analysed growth metrics and improved content reach by 20% in 6 weeks
- Implemented data-driven campaigns and delivered marketing insights.
- Presented findings using Excel and data visualisation to guide strategy.
Benchmark Statement
What I know in theory
- Data analysis (Python, Pandas, Excel, SQL)
- Data visualisation (Power BI, Tableau, Looker Studio)
- Web and software development (HTML, CSS, PHP, C#, Unity)
- Campaign performance analytics and optimisation
- Advanced machine learning and AI applications
- Cloud-based data solutions (AWS, Azure, GCP)
- Scalable database management and big data analytics
- Deeper business applications of predictive modelling
Other Info
Projects:
- Student Personal Management System (PHP/MySQL)
- Equation HI-LO Android Game (C#, Unity)
- Exploratory Data Analysis with Pandas (Python, Kaggle dataset)
- SQL for Data Science (UC Davis)
- Power BI Desktop (Coursera)
- RESTful APIs with Node.js & Express (Board Infinity)
- Decentralized Finance Infrastructure (Duke University)
- Data-driven problem solving, digital innovation, and real-world AI applications.
- Creative pursuits in photography, video editing, and design.
- Sports: Cricket, Badminton, ATV/Quad racing