Lahore, Pakistan

Insights, Analytics &
Financial Innovation.

FinTech student and aspiring Data Analyst dedicated to transforming complex data into actionable insights and strategic business solutions.

BS Financial Technology — FAST-NUCES 2024–2028
Academic Profile Third-Year Student · CGPA 3.89
Honors & Awards Gold Medalist S1 · Rector's List S1 · Dean's List S2 S3 S4
FAST-NUCES Lahore Financial Technology
01

Experience

Jun 2026 — August 2026

MTO — Business Intelligence

Break Thirty · Onsite, Full-time

Drove data accuracy, trend analysis, and business intelligence reporting to support strategic decision-making.

Aug 2026 — Present

Marketing Strategist

TickiKids • Hong Kong

Developing growth and marketing strategies targeting schools, camps, and family brands to expand reach, engagement, and conversions.

June 2026 — Present

Campus Ambassador

Manafa Technologies · On-site

Representing Manafa Technologies within the university community, driving brand visibility through campus outreach and engagement.

Jan — May 2026

Teaching Assistant

Data Analysis I, FAST-NUCES · Hybrid

Supported 100+ students through core data analysis concepts, coursework guidance, and grading across the full semester.

02

Projects

01 Power BI · DAX
Data Modelling
Python · Pandas
99K orders
6 relational tables

Delivery Performance & Customer Satisfaction — Olist E-Commerce Dashboard

Built an end-to-end Power BI dashboard on a 99K-order e-commerce dataset, modelling 6 relational tables and writing custom DAX measures to analyse delivery performance against customer satisfaction.

Key finding Late deliveries affect only 8.1% of orders but correspond to a review score drop from 4.29 to 2.57 out of 5, a high-impact, low-frequency operational risk that volume-based monitoring would miss.

Diagnosed and resolved a DAX date-logic bug that was inflating the late-delivery rate by nearly 40%, independently verifying every final metric against the raw dataset in Python before publishing.

02 SQL Server · T-SQL
Python · Tkinter
Matplotlib
3NF schema
7 entities

FinCore — Relational Lending Management System

Designed a 3NF-normalised SQL Server schema across 7 entities covering loan origination, instalment scheduling, collateral tracking, and risk classification.

System logic Stored procedures enforce credit eligibility and a 40% income to instalment cap. Triggers maintain an immutable audit log and auto penalise late payments, embedding risk controls directly into the data layer.

A Tkinter and Matplotlib interface abstracts the SQL layer entirely, so a loan officer can manage the full lending lifecycle without writing a single query.

03 Python · Pandas
NumPy · Matplotlib
Seaborn
Multi-location
10+ KPIs

Sales Forecasting & Business Intelligence — Coffee Chain

Built an EDA pipeline on a multi-location coffee chain dataset, engineering 10+ KPIs across regional performance, seasonal demand trends, and product-level margin analysis.

Key finding Central market generated $265K in coffee sales and $94K in profit, nearly 3x South market's $104K and $32K, despite identical product lines and pricing. The disparity reflects a demand and resource allocation gap rather than cost or product differences, suggesting investment is concentrated in an already-saturated market while a higher-potential region remains underserved.
04 SPSS · Inferential
Statistics
Hypothesis Testing
1,100 transactions
p < .001, all tests

Credit Card Fraud Detection — Statistical Behavioural Analysis

Analysed 1,100 credit card transactions in SPSS using an independent-samples t-test, Mann-Whitney U test, and Chi-Square test, with every test returning p < .001.

Key finding Fraudulent transactions averaged $562 versus $78 for legitimate ones, a 7x difference, with statistically significant clustering at hours 22 and 23. Together, these patterns map directly onto time-sensitive, amount-aware logic for fraud detection rules.
03

Programs

Python · Pygame
5 levels
No pre-made assets

Stanford Code in Place 2026

Ghost Grid · Final Project

An intensive program in Python programming and problem-solving, utilizing graphics, console programming, and data structures like lists and dictionaries.For my final project, I built Ghost Grid: a 5-level maze escape game using Python and Pygame.

04

Skills

Languages
PythonSQLJavaScriptHTMLCSS
Data & BI
Power BIDAXTableauAdvanced ExcelData Visualization
Analytics
SPSSEDAStatistical InferenceStataML
Databases
Relational Schema DesignNormalisationQuery OptimisationSQL Server
Libraries
PandasNumPyMatplotlibSeaborn
Finance
Financial AccountingBusiness FinanceManagerial AccountingQuickBooks