Bridging analytical modeling and application development. Passionate about Exploratory Data Analysis, Feature Engineering, and turning raw data into interactive solutions.
import pandas as pd
import numpy as np
def extract_insights(data):
clean_df = data.dropna()
return clean_df.describe()
Python, Pandas, NumPy, Data Cleaning, and Statistical Concepts.
Building interactive desktop apps with Tkinter and web dashboards via Streamlit.
HTML5, CSS3, JavaScript, and crafting clean, user-oriented solutions.
A modular Python app that analyzes news headlines using source reputation, sentiment analysis, and clickbait detection to produce a weighted credibility score with a clean GUI.
A 4-page interactive Power BI dashboard analyzing global COVID-19 trends across 180+ countries, covering cases, deaths, vaccinations, and continental comparisons.
A comprehensive EDA on 1,400+ World Bank indicators for Pakistan from 1960 to 2024, uncovering trends in GDP, inflation, population, and urbanization.
A comprehensive Excel analysis of 8,800+ Netflix titles from Kaggle, revealing content distribution by type, genre, country, rating, and growth trends from 2008–2021.
A modular desktop application featuring Regex-based ID validation, real-time inventory tracking, and a clean GUI built with Tkinter.
Seeking opportunities to grow through internships, collaborative projects, and real-world datasets.