Hi, I’m

Riddha Majumder

Business Data Analytics Student | Aspiring Data Analyst

I am a Master of Business Data Analytics student at Charles Sturt University, Sydney, with a Computer Science background from BRAC University, Bangladesh. I build dashboards, analyse data and turn raw information into clear business insights.

Profile photo

About Me

I am currently studying Master of Business Data Analytics at Charles Sturt University, Sydney. Before this, I completed my Bachelor’s degree in Computer Science from BRAC University. My interests include data analysis, business intelligence, dashboard design, machine learning, and data storytelling.

I am currently preparing for an industry placement/internship and improving my practical skills in Excel, SQL, Power BI, Tableau, Python, and machine learning.

Research / Undergraduate Thesis

Multi-Level Deep Generative Model with Poisson Variational Autoencoders and Reinforcement Learning for Enhanced Intrusion Detection System

Undergraduate Thesis | B.Sc. in Computer Science and Engineering | BRAC University

This thesis focused on improving network intrusion detection by using a hierarchical deep generative model. The system used a multi-level Poisson Variational Autoencoder chain with normalizing flows, reinforcement learning-based ensemble weighting, and an XGBoost meta-learner to classify benign and malicious network traffic.

The model was evaluated on the NF-UQ-NIDS-v2 dataset across multiple traffic classes. It achieved strong binary attack detection performance and demonstrated how generative models, uncertainty diagnostics, and ensemble learning can support cybersecurity analytics.

Machine Learning Deep Learning Cybersecurity Intrusion Detection PVAE Reinforcement Learning XGBoost Python

Projects

Excel dashboard project

Retail Sales Dashboard

Analysed retail sales data to identify sales trends, top products, and customer segments using Excel dashboards.

Tools: Excel, Pivot Tables, Charts, Data Cleaning

View Project
Power BI dashboard project

Business Performance Dashboard

Built a Power BI dashboard to track KPIs, revenue trends, and category-level performance for business decision-making.

Tools: Power BI, Power Query, DAX

View Project
Machine learning project

Machine Learning Prediction Project

Applied machine learning techniques to analyse data and support prediction-based decision-making.

Tools: Python, pandas, scikit-learn

View Project

Skills

Excel SQL Power BI Tableau Python pandas Machine Learning Data Cleaning Dashboard Design Business Reporting Data Storytelling

Beyond Data

Outside of analytics, I enjoy watching films and series, writing short reviews, and capturing everyday moments through photography.

Movie & Series Reviews

Project Hail Mary Poster

Project Hail Mary

Type: Series

Genre: Sci-fi

My Rating: 9/10

An excellent sci-fi movie after a long time. It’s not your average boring alien story, it may be predictable at times, but it’s so funny and entertaining that you won’t even care.

The Odyssey movie poster

The Odyssey

Type: Movie

Genre: Sci-fi, Action

My Rating: 7/10

The cinematography and practical effects are stunning, but its connection to the original mythology feels vague. It plays more like the director’s personal interpretation of the story rather than a faithful telling of the full epic.

The Mentalist movie poster

The Mentalist

Type: Movie

Genre: Drama, Thriller

My Rating: 8/10

Just finished Season 1 of The Mentalist, what a ride. You can clearly see where the "Sherlock" TV series may have drawn inspiration for the way it visualizes deductions and observations.

Photography

A small collection of photographs captured by me.

Sydney street photograph

Sydney Street Moment

Sunset photograph

Evening Sunset

Beach photography

Bondi Beach

Résumé

You can download my résumé below.

Download Résumé

Contact

I am open to data analytics, BI, business analyst, and industry placement opportunities.

Email: riddha260@gmail.com

LinkedIn: https://www.linkedin.com/in/riddha-majumder/

GitHub: GitHub Profile

Location: Sydney, Australia