HARISH R.
01Biography & Background

About Harish

A blend of Computer Science foundations, advanced Data Science expertise, and Android system kernel modifications.

Who is Harish?

I am a Computer Science & Data Science Graduate dedicated to building scalable software, predictive machine learning models, and custom Android system modules.

Whether I am writing high-performance SQL queries for reporting, optimizing Random Forest models in Python, configuring cloud infrastructures in AWS, or hacking kernel-level device trees, I aim for efficiency, reliability, and precision.

I hold a Master of Science in Data Science from the University of Memphis (3.89 GPA) and a Bachelor of Technology in Computer Science & Engineering from JNTU Hyderabad (3.68 GPA equiv.).

Key Metrics

3.89 / 4.0
MS DATA SCIENCE GPA
3+ Years
SOFTWARE & DATA RESEARCH
5+ ROMs
CUSTOM ANDROID OS & MODULES

Data Science & ML

Machine learning frameworks and analytical tools.

  • Python (Pandas, NumPy, SciPy)
  • Scikit-learn (Random Forest, SVM)
  • TensorFlow & Keras Deep Learning
  • Apache Spark (PySpark)
  • Predictive Modeling & AUC Tuning
  • Power BI & Tableau Dashboards
  • Feature Engineering & Validation

Software Engineering

Backend systems and enterprise web development.

  • Java & Spring Boot Framework
  • SQL (Snowflake, MySQL, PostgreSQL)
  • C / C++ Core Systems
  • RESTful API Architecture
  • JUnit & Jest Unit Testing
  • HTML5 / CSS3 / JavaScript ES6+
  • Git, GitHub & CI/CD Pipelines

Cloud & Systems

Cloud infrastructure and Linux system administration.

  • AWS (EC2 Compute, S3 Storage, Lambda)
  • Docker Containerization
  • Linux System Administration & Bash
  • PowerShell Automation Scripting
  • TCP/IP Networking & OSI Model
  • SEPolicy Rules & Android Kernel Tuning
  • Magisk & Xposed Hooking Frameworks
Master of Sciences in Data Science
University of Memphis • Memphis, TN
Jan 2023 - Dec 2024
Cumulative GPA: 3.89 / 4.0
Bachelors in Computer Science & Engineering
Jawaharlal Nehru Technological University • Hyderabad, India
Aug 2018 - Jun 2022
GPA: 3.68 / 4.0 (equiv.)