MODADUGU AKANKSH GUPTHA

Software Engineer | Machine Learning & Web Development Specialist
Hyderabad, IN.

About

Aspiring Software Engineer with a Bachelor's in Computer Science and Engineering, demonstrating strong foundational skills in Python, C++, SQL, and modern web technologies including React.js. Proven ability to develop and deploy machine learning models, optimize performance, and solve real-world problems through data-driven approaches, as evidenced by improving prediction accuracy by 80% and reducing false negatives by 85% in fraud detection. Committed to continuous learning and leveraging expertise in MERN Stack and computer vision to contribute to innovative software solutions.

Work

Edunet Foundation
|

Front-End Web Development Intern

Remote, Virtual, India

Summary

As a Front-End Web Development Intern, I aim to gain practical experience in core web technologies and contribute to building responsive, user-friendly interfaces for real-world web applications.

Highlights

Develop responsive and user-friendly interfaces, focusing on enhancing web usability and design for optimal user experience.

Apply theoretical knowledge of HTML, CSS, JavaScript, and React.js to practical assignments and projects, strengthening core front-end development skills.

Collaborate effectively within a structured training environment to build web applications, contributing to team-driven software solutions.

Build a strong foundation in modern web development practices, preparing for future contributions to complex web projects.

Cawius Technologies
|

Virtual Internship on Machine Learning

Remote, Virtual, India

Summary

As a Virtual Machine Learning Intern, I processed large datasets, built and deployed optimized ML models, and presented insights to senior management, significantly improving prediction accuracy and operational efficiency.

Highlights

Processed and analyzed large datasets using Python and SQL, uncovering critical patterns that generated valuable business insights.

Automated data preprocessing workflows, significantly reducing manual effort by 30% and improving overall efficiency by 25%.

Built and optimized machine learning models, improving prediction accuracy by 80% over baseline results.

Deployed ML models on a cloud platform in collaboration with a distributed team, reducing deployment time by 40%.

Applied advanced techniques for data handling and feature engineering, enhancing model performance and predictive capabilities.

Delivered impactful presentations to senior management, influencing strategic decisions and project direction.

Education

Hindustan University
Chennai, Tamil Nadu, India

Bachelor of Technology (B.Tech)

Computer Science and Engineering

Grade: CGPA: 7.5

R.J.C
Andhra Pradesh, Andhra Pradesh, India

Class XII

Intermediate Education

Grade: CGPA: 6.3

Certificates

MERN STACK course

Issued By

Cuvette

Proficiency in HTML & CSS

Issued By

Udemy course

Mastered Python for Data Science

Issued By

Cognitive Class

Skills

Programming Languages

Python, C++, C.

Web Technologies

HTML, CSS, JavaScript, React.js.

Databases

SQL.

Version Control

Git.

Machine Learning Tools & Techniques

LightGBM, XGBoost, CatBoost, YOLOv4, SMOTE, Bayesian Optimization.

Software Development & MLOps

Model Optimization, Data Preprocessing & Analysis, Real-time Computer Vision & Object Detection, Cloud Deployment, Team Collaboration, Problem-Solving, Analytical Thinking.

Projects

Optimal Weight Tuning for Unbalanced Data in Credit Card Fraud Detection

Summary

Developed and deployed advanced machine learning models for real-time credit card fraud detection, focusing on optimizing performance with imbalanced datasets.

Face Mask Detection

Summary

Engineered a real-time face mask detection system using advanced computer vision techniques to enhance public safety applications.