My name is Farhan Sadiq. I'm a Computer Science Graduate from the University of Texas at Arlington. I am an enthusiastic individual with a strong foundation in data analytics and data science, driven by a passion for leveraging data-driven insights to solve complex problems and drive innovation. Proficient in a wide range of tools and techniques including Python, SQL, Excel, Tableau, PowerBi, machine learning, and cloud platforms, I am dedicated to continuous learning and staying updated with the latest advancements in the field. My expertise lies in data manipulation, visualization, statistical modeling, machine learning, and building scalable data infrastructure. I am particularly interested in applying my skills to areas such as predictive analytics, natural language processing, and big data analytics to make meaningful contributions in solving real-world challenges. I am actively seeking opportunities to collaborate on exciting projects, explore job opportunities, and connect with professionals in the industry. Let's connect and harness the power of data together to drive innovation and create positive impact.
This Data Cleaning Project is designed to enhance the quality of a dataset by performing various cleaning operations. The project focuses on removing duplicate records, standardizing data formats, addressing null or blank values, and removing irrelevant or unnecessary columns.
This project involves the comprehensive analysis of a dataset containing bike sales information. The primary objective is to clean and preprocess the data, perform detailed analyses, and create insightful visual representations using pivot tables and a dynamic dashboard in Excel.
The objective of this project was to create an interactive Tableau dashboard to visualize and analyze customer reviews of British Airways and their services from across the globe based on their different aircrafts. The aim was to provide insights into customer satisfaction, identify common patterns, and highlight areas for improvement based on regional and global trends.
The objective of this project was to analyze coffee sales data using Microsoft Excel to gain insights into sales trends, product performance, and customer behavior. The goal is to transform raw sales data into a meaningful and interactive Excel dashboard that helps stakeholders make informed business decisions.
The primary goal of this project was to analyze PwC's call center data to identify key performance indicators (KPIs), trends, and areas for improvement. The analysis aimed to enhance operational efficiency, improve customer service, and provide actionable insights through interactive dashboards using Excel and Tableau.
This is my senior design project, where we have built a virtual theremin for music enthusiasts, using C# and Unity.
In this project, I have made a bitwise calculator using C. This calculator can convert any two decimal numbers to binary numbers and then perform bitwise operations.
In this project, I have made a Bingo Game using C.
In this project, I have made a minimal version of a simple shell.
In this project, I developed a multi-threaded web server in Python capable of serving multiple requests concurrently, handling HTTP status codes 200, 301, and 404.
In this project, I have worked on a program which is a REST API application built using FastAPI, a modern web framework for building APIs with Python. It maintains a phone book of names and phone numbers and provides various API endpoints to interact with the phone book data.