Ammad Sohail's Projects
Created a Power BI dashboard for 24Seven's expansion, combining sales, demographics, traffic, and climate data for selecting new store locations. Offers analytics and forecasts to guide strategic decisions.
Config files for my GitHub profile.
This project tackles the challenge of predicting housing prices in Boston based on a range of locality features. The core objective is to identify the most significant factors that influence house pricesthis analysis not only forecasts prices for new data but also offers insights into the dynamics of the Boston real estate market.
Explore predictive analytics on U.S. gun violence data (2013-2018) using statistical models and machine learning. This project aims to uncover trends, understand factors, and provide actionable insights to inform policy and reduce gun violence incidents.
2023 IMDb Prediction Challenge: Leveraging statistical models to forecast IMDb ratings of upcoming films. Analyze 2,000 movie features, build robust predictive models, and understand factors influencing ratings. Enhance film industry analytics with creative, data-driven insights.
A comprehensive data analysis of Kickstarter projects, employing machine learning to predict success rates. This project utilizes classification and clustering techniques to offer strategic insights for creators and backers, enhancing decision-making in the crowdfunding landscape.
Dashboard for Mountain Wheels Superstore, blending sales, demographics, and product data to inform marketing, pinpoint expansion areas, and minimize returns. Enhances strategic decisions with insights on customer behavior, market potential, and product performance.
An academic project simulating TaskRabbit's database structure and functionality. It aims to demonstrate efficient resource sharing and local service connections, mirroring the original platform's diverse service offerings.
Basic implementation of print statement in R
ORGB 672 - Organizational Networks (Final Group Project - Winter 2024)
INSY660 Group Project
The "Diabetes Analysis" project utilizes medical data to investigate diabetes prevalence in the Pima Indian community. Focusing on women, it explores relationships between health indicators like glucose levels and BMI, offering insights for healthcare professionals and researchers in managing and understanding diabetes risks within this group.
Predictive modelling for customer conversion and transaction revenue at Google's e-commerce shop
Montreal Snow Removal Optimization: A project dedicated to reducing the city's snow removal expenses by identifying the optimal hub location for dispatching removal units. It aims at enhancing urban planning and response to winter challenges, aligning with sustainable city development goals.
"Used Car Price Prediction Model" leverages a comprehensive dataset to forecast sale prices of used cars, considering factors like make, year, mileage, and location. Aimed at sellers and buyers, this machine learning project offers precise value estimations, enhancing decision-making in the dynamic used car market.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent