Farhan Sadeek

Math, Physics and CS Student
Student Software Engineer

About Me

Hello, I’m Farhan Sadeek, a student at The Ohio State University. My passion lies in the dynamic realms of Software Development, Machine Learning, and Artificial Intelligence. As an active member of the AI Club and enthusiastic participant in competitive programming, I thrive on exploring innovative solutions to complex challenges. A dedication to understanding marks my academic journey the intricacies of computer science and applying theoretical knowledge to real-world scenarios.

Professional Journey

Experience

Undergraduate Research Assistant

January 2024 - Present
The Ohio State University

I will be working on a research project on the impact of U.S. natural disasters on individuals with diverse identities, advised by Dr. Kelsea Best. Using Python (pandas, matplotlib) and R (Tidyverse, ggplot2) for data visualization, I will attend weekly Zoom meetings to report updates and deliver presentations.

Technical Analyst

June 2023 - Present
Spectrum

I collaboratively resolved complex issues cross-functionally, leveraging statistical methodologies that led to a 15% improvement in team satisfaction. Additionally, I demonstrated advanced research knowledge, consistently exceeding targets and achieving a 10% increase in project milestones and academic standards through rigorous statistical analysis.

Data Analyst

August 2021 - Present
Google AI

I leveraged my expertise in Kaggle datasets to analyze and extract valuable insights, driving data-driven decision-making and enhancing business performance. Through developing and implementing advanced machine learning models and algorithms, I achieved a 20% improvement in solving complex problems and optimizing business processes. Collaborating with cross-functional teams, I effectively communicated findings from Kaggle datasets, enabling stakeholders to make informed decisions and contributing to a 10% increase in desired outcomes.

Data Science Intern

May 2022 - August 2022
Harvard University

Developed Dr. Kane’s Harvard Class GOV 1005 with R coding language along with other student researchers. Four weeks of training under Dr. Kane culminated in an independent Data Analytics Research Project, where I analysed the impact of different economic indices on the population of a country.

Education

Ohio State University

May 2027

Relevant Coursework:

Math 4580: Abstract Algebra I

Math 4547: Real Analysis I
Math 4573: Number Theory
Stat 4202: Mathematical Statistics II
Physics 2301: Relativistic Mechanics
Math 4512: Partial Differential Equations
Stat 4201: Mathematical Statistics I
Stat 3470: Engineering Statistics
Math 3345: Mathematical Proofs
Math 2568: Linear Algebra
Math 2153: Multivariable Calculus
Physics 2300: Classical Mechanics
CSE 2321: Discrete Math
CSE 2231: Software Development
CSE 2221: Software Components

Outside School & Work

Activities & Organizations

Competitive Programming Club

As a member of the Competitive Programming Club at Ohio State University, I actively participate in programming competitions and challenges. Through these experiences, I have enhanced my problem-solving skills and developed efficient coding techniques. I have gained valuable experience in tackling complex programming challenges and improving my algorithmic thinking. Additionally, I have collaborated with fellow programming enthusiasts to enhance our skills and knowledge through group projects and coding sessions.

Big Data and Analytics Association

As a member of the Big Data and Analytics Association, I gained hands-on experience with data analytics tools like Tableau, PowerBI, and AWS. Through workshops, seminars, and projects, I learned to analyze large datasets, identify patterns, and derive meaningful insights. The association also provided networking opportunities with industry professionals and experts in the field.

Artificial Intelligence Club

The Artificial Intelligence Club was crucial to my career development. Through their meetings, workshops, and projects, I learned machine learning libraries such as Sci-kit Learn, PyTorch, and TensorFlow. I gained hands-on experience in developing and implementing machine learning models, natural language processing algorithms, and computer vision applications. The club organized guest lectures and industry talks, allowing me to learn from experts in the field and gain insights into real-world AI applications.

Skills

Software Development

Python: 20,000 lines
C++: 20,000 lines
Java: 10,000 lines
HTML: 10,000 lines
CSS: 10,000 lines
Javascript: 3,000 lines
Node JS: 1,000 lines
React.js: 1,000 lines
Django: 3,000 lines
Git: > 3 years

Data Science & Artificial Intelligence

Seaborn: 10,000 lines
Tableau: > 2 years
PyTorch: 5,000 lines
Tensorflow: 5,000 lines
Scikit-Learn: 3,000 lines
SQL: 3,000 lines
Docker: < 1 year
AWS/Azure: 1 year