MSc Business Analytics candidate at Queen's University Belfast with a Computer Science backbone. Co-founder of CLUB!N, a SaaS nightlife platform across Delhi-NCR. I build predictive models, dashboards, and products that move real business metrics.
I'm a Business Analytics postgraduate student at Queen's University Belfast (GIFT City, Gandhinagar) with a B.Tech in Computer Science. My work sits at the intersection of machine learning, optimisation, and business strategy — building models that don't just score well, but change what a business decides to do next.
In December 2024 I co-founded CLUB!N, a B2B2C SaaS nightlife infrastructure platform. I pitched and personally onboarded 10 venue partners across Delhi-NCR, designed a QR-based entry system, and built the ERP dashboards the venues run on — all backed by AWS infrastructure I manage.
My research interests live in cost-sensitive and explainable AI — my MSc dissertation builds credit-risk classifiers where the cost of a wrong decision is part of the model itself, not an afterthought.
MSc Business Analytics, Queen's University Belfast — GIFT City
CLUB!N — SaaS nightlife platform, Delhi-NCR (clubin.in ↗)
ICRCET 2025 — Review of Credit Card Fraud Detection Models
Gandhinagar, Gujarat, India
Classification models (Logistic Regression, Random Forest, XGBoost) with cost-sensitive learning on the German Statlog dataset — threshold tuning, SMOTE, and cost-matrix optimisation evaluated against AUC-ROC, F1, and real business-cost metrics.
Random Forest and Gradient Boosting models achieving ~99% ROC-AUC on 100K+ records, with an end-to-end pipeline covering preprocessing, TF-IDF sentiment analysis and feature engineering — plus ethics of automated decision-making.
A Mixed Integer Linear Programming model in R (ompr + HiGHS) minimising procurement cost under supplier constraints, alliances and pricing-fairness rules — analysing the trade-off between cost, diversification and stability.
Comparative analysis of ANN, SVM, HMM, Bayesian Networks and KNN for fraud detection — covering imbalanced data, false positives, real-time detection, and hybrid ML approaches for fintech.
End-to-end e-commerce analysis with customer segmentation, revenue trend analysis, statistical modelling and interactive dashboards in Python — from raw data through visuals to a full business analysis report.
A SaaS platform for digital venue discovery, QR-based entry management and real-time bookings — with ERP dashboards and analytics powering operations for 10 partner venues in Delhi-NCR.
Queen's University Belfast — GIFT City, Gandhinagar
Galgotias University, Noida · CGPA 7.09 / 10
Seksaria Sushila Devi Public School, Hathras
Seksaria Sushila Devi Public School, Hathras
I am actively seeking new opportunities in data analytics and machine learning. My inbox is open.
rajasharma8865@gmail.com