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NYR

Available for freelance

Greetings, I'm
Navari
Yashwanth

๐Ÿ‘‰ Design Patent Holder | IoT Innovator | B.Tech Data Science Student

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Official Intellectual Property

IoT Connectivity Device Design Patent

Design No: 470097-001 ยท Issued by Government of India

Python
TensorFlow
PyTorch
Pandas
Scikit-Learn
Professional headshot of Navari Yashwanth Reddy
>

12+

Projects Built

1

Design Patent

11+

Certifications

98%

Model Accuracy

The Journey of Innovation

2023

B.Tech Start

Began journey in Data Science at Woxsen University.

2024

11+ Certifications

Mastered ML, IoT, and Software Engineering from top universities.

AUG 2025

Design Patent Issued

Officially recognized by Govt. of India for IoT Innovation.

workspace_premium Global Intellectual Property

IoT Connectivity Device Design Patent

Recognized by the **Intellectual Property Office, Govt. of India**. This Design Patent validates the architectural originality of my machine-to-machine communication hardware, proving my capability to deliver industry-grade technical innovation.

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root@navari-os:~# ./run_portfolio_simulation.sh
> System Core Boot Sequence Initiated...
> Allocating Thread Resources [================] 100%
> Loading Neural Networks & Algorithms... OK
> Fetching ML Models into memory... OK
> Establishing Secure SSL Connection... DONE
>
> PERFECT HIRING MATCH FOUND
> Welcome to the Future, Verified Recruiter.
> Ready for input _

join_inner Are We a Match?

Enter your primary skillset industry (e.g. "Data", "React", "Backend") to run a compatibility analysis.

hub Neural Network

Thinking in
Neural Networks

Every node is a concept. Every edge is a connection. This is how I see machine learning โ€” a living, breathing web of relationships.

Live simulation mouse Move mouse to interact
psychology_alt Transparency

Project Failures & Growth

Engineering isn't always perfect. Here is a look at times things went wrong, and exactly how I fixed them.

The Overtraining Disaster

What Went Wrong

During the Heart Disease project, my first ML model achieved 99% accuracy on training data but failed miserably in real-world testing due to severe over-fitting.

How I Fixed It

I threw out the model. Implemented K-Fold cross-validation, pruned the neural network layers, and applied L2 Regularization. The final model stabilized at a highly reliable 92% real-world accuracy.

terminal Developer Playground

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A Peek Inside
My Workstation

A low-poly 3D render of my development setup. Drag to rotate. The terminal screen is live โ€” just like the real thing.

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0 + Projects Completed
0 Certifications
98 %
verified System Score
0 Year Experience

commit Engineering Lifecycle

1,245 contributions in the last year
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bar_chart Core Proficiency

Python & ML90%
Data Analysis & SQL85%
Web Development75%

school What I'm Currently Learning

Featured Projects

A selection of my recent work.

biotech Try My ML Project

Heart Disease Predictor (Live Simulation)

Enter sample metrics to test the simulated Logistic Regression classification model running completely in your browser.

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route My Professional Journey

2023

Discovered Programming

Wrote my first line of code and discovered a profound passion for computational problem solving and algorithmic thinking.

2024

Mastered Python & ML Foundations

Deep-dived into data structures, Numpy, and Pandas. Trained my first Scikit-Learn models and solidified my mathematical foundation.

2025

Built Enterprise-Grade Architectures

Developed complex systems like the Heart Disease Predictor and Smart Parking IoT modules, focusing on robust full-stack deployments.

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