Zeeshan Sahito 125

Data science enthusiast with a strong educational foundation in Information Technology. Experienced in predictive modeling, data analysis, and machine learning. Proficient in Python, Numpy, Pandas, and data visualization. Committed to leveraging data for informed decision-making and passionate about contributing to dynamic data science projects

PROJECT I: Housing Price Prediction

• Objective: Build a model to predict house prices.
• Features: Square footage, number of bedrooms, location, etc.
• Method: Use linear regression to establish a relationship between these features and house sale prices.

PROJECT II: Advertising ROI Analysis

• Objective: Analyze advertising campaign effectiveness.
• Features: Advertising expenditures (TV, radio, online ads) and sales revenue.
• Method: Utilize linear regression to model the relationship between advertising expenses and sales revenue to identify high-return advertising channels.

PROJECT III: Customer Churn Prediction

• Objective: Predict customer churn likelihood.
• Features: Customer demographics, usage patterns, engagement metrics.
• Method: Employ linear regression to identify the most influential factors in predicting customer churn.

These projects involve using linear regression as a statistical technique to establish relationships between various features and outcomes in different domains - housing prices, advertising effectiveness, and customer churn prediction

FSC in Pre-Medical

• School: Government Boys Degree College, Nawabshah
• Duration: 2016-2018

Bachelor of Technology

• University: Quaid-e-Awam University of Engineering Science & Technology
• Duration: 2019-2023

These qualifications indicate a background in pre-medical studies followed by pursuing a Bachelor's degree in Technology, potentially in a field related to engineering and technology. This educational journey suggests a transition from a medical-focused program to a technology-focused one.