Hi, I'm Rakin

I'm an Applied Mathematics student with a Statistics minor at Texas A&M University. I specialize in data engineering and machine learning, building systems that transform complex data into actionable insights.

Python SQL JavaScript TensorFlow Pandas

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San Antonio, TX Graduation: May 2027 rakinmaredia@gmail.com (210) 996-1565

Recent Highlights

Engineered and optimized a relational database system at FuelPort managing 10,000+ customer transactions, improving query speed by 25%.
Developed automated SQL reports that reduced manual reporting time by 8 hours per week and eliminated data entry errors.
Built an automated trading bot analyzing 1M+ historical data points, achieving 63.9% win rate, 12% annualized return, and Sharpe ratio of 1.3.

Education

Academic background in applied mathematics and statistics.

Texas A&M University

College Station, TX

GPA: 3.5+

Bachelor of Science in Applied Mathematics

Minor in Statistics

Expected Graduation: May 2027

Relevant Coursework

Calculus 3 Linear Algebra Statistics 1 Differential Equations Data Structures & Algorithms Mathematical Probability

Currently Learning

Continuously expanding my skillset in data engineering and analytics.

Data Warehousing Methods

Exploring modern data warehousing architectures and methodologies, including dimensional modeling, ETL/ELT pipelines, and cloud-based data warehouse solutions. Learning to design scalable data infrastructure that supports business intelligence and analytics.

Tools & Technologies

Snowflake dbt Apache Airflow AWS Redshift Google BigQuery Databricks

Concepts & Methodologies

Dimensional Modeling ETL/ELT Pipelines Star & Snowflake Schemas Data Lake Architecture

Projects

Selected projects demonstrating my work in data engineering and machine learning.

Alpaca Trading System & Backtest Framework

August 2025

Developed an automated trading system that integrates with Alpaca's API to analyze over 1M historical market data points. Built a modular architecture with separate components for data collection, signal generation, risk management, and trade execution.

Results: Achieved 63.9% win rate, 12% annualized return, and Sharpe ratio of 1.3 in backtests. Implemented risk management safeguards including volatility-based position sizing and daily loss limits, reducing portfolio risk by approximately 30%. Maintained 99% system reliability through comprehensive logging and error handling.

Python Alpaca API Data Pipeline

Fuel Efficiency Prediction

June 2025

Developed a machine learning model to predict vehicle fuel efficiency using a dataset of 398 cars. Focused heavily on data preprocessing and feature engineering, which proved critical to model performance.

Results: Achieved an average prediction error of 2.5 MPG. This project highlighted the importance of thorough data preparation in machine learning workflows, demonstrating that data quality often outweighs model complexity.

Python Machine Learning Data Processing

Experience

Professional experience applying data engineering and analysis skills in real-world environments.

Database Engineer Intern

FuelPort

May 2025 - August 2025

Engineered and optimized a relational database system to manage 10,000+ customer transactions and inventory records, improving query speed by 25% and enabling faster decision-making.
Developed automated SQL reports for daily sales, fuel levels, and inventory tracking, which reduced manual reporting time by 8 hours per week and eliminated recurring data entry errors.
Streamlined POS data integration into Modisoft by designing validation checks and cleaning procedures, increasing the accuracy of financial reporting by 15% across weekly and monthly summaries.

Data Entry and Analysis

Rodeo Travel Center

May 2024 - August 2024

Performed detailed data entry and analysis using Modisoft, ensuring accurate tracking of inventory, sales trends, and customer transactions.
Streamlined data management processes to enhance operational efficiency, reducing time required for daily reporting by 12%.
Collaborated with management to implement data-driven insights, contributing to a 17% increase in quarterly revenue.

Skills

Languages

Python
JavaScript
TypeScript
Java
CSS
SQL
C++
C#
R-Studio

Tools & Frameworks

TensorFlow
Pandas
scikit-learn
NumPy
Matplotlib
Seaborn
Jupyter Notebook
Git
Selenium
Apache Spark
MongoDB

Relevant Coursework

Calculus 3
Linear Algebra
Statistics 1
Differential Equations
Program Design and Concepts
Data Structures and Algorithms
Intro to Mathematical Probability

Activities

Co-Community Service Chair

Ismaili Muslim Student Association

September 2024 - Present

Coordinated events with local companies/organizations attracting 300+ attendees for networking experiences, service events and social events for 80+ IMSA members.

Member

Aggie Data Science Club

August 2024 - Present

Collaborated with a group of 10 people to create a project aimed at increasing student-management connectiveness at Texas A&M by utilizing social media and creating trends based off surveys of students online.

Get in Touch

I'm open to discussing internship opportunities, collaborative projects, or connecting about data engineering and machine learning. Feel free to reach out.

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