Unlocking Hotel Booking Insights
Performed EDA on hotel bookings with Python, revealing trends and preferences to improve customer satisfaction and optimize bookings.
Data Scientist with Expertise in SQL, Power BI, and Python.
I'm Altamash Ajaz Shaikh, a Data Scientist with a passion for transforming data into actionable insights. I specialize in Python, SQL, and Power BI, with experience in building predictive models, performing data analysis, and creating dynamic visualizations. With a background in full-stack data science, I enjoy solving complex problems and delivering impactful solutions.
Completed an intensive program in Python, SQL, and numerical programming. Gained expertise in data wrangling, EDA, and visualization with Tableau and Power BI. Acquired skills in statistics, machine learning, and predictive modeling, enhancing abilities to derive actionable insights.
Completed a Bachelor's in Mechanical Engineering with a strong foundation in principles, mechanics, thermodynamics, and materials science. Developed key analytical and problem-solving skills through coursework and projects, preparing for complex challenges.
Here is a summary of my core skills and expertise in data science, programming, and business intelligence. I am committed to leveraging these skills to deliver impactful insights and solutions.
Explore some of the projects I've worked on, showcasing my skills in data analysis, visualization, and machine learning. Each project highlights different aspects of my expertise and problem-solving abilities.
Performed EDA on hotel bookings with Python, revealing trends and preferences to improve customer satisfaction and optimize bookings.
This repository features a CNN model for food classification with the Food101 dataset, aiming to exceed the accuracy of the reference paper.
This project focuses on predicting customer churn in the telecommunications sector by analyzing data and developing predictive models.
This project predicts health insurance policyholders' interest in vehicle insurance. It develops a machine learning model to enhance marketing strategies and improve cross-sell conversion rates.
Analyzed Zomato's platform and its schema design to improve food delivery, focusing on solutions for limited options, order tracking, and personalization to boost user satisfaction.
This project scrapes data from JustWatch.com to analyze streaming trends, visualizing IMDb ratings, genres, and runtimes to reveal viewer preferences and popular content.
This project predicts student performance using a machine learning model based on factors like test scores and parents' education, with a Flask app for real-time predictions deployed on AWS.
Performed SQL analysis on music store sales data to identify top revenue cities, best customers, and popular genres, offering actionable insights for optimizing marketing and sales strategies.
Transforming chaos into insights with Python and SQL, because who needs sleep when you have data to wrangle.