Lovely Professional University

D PRATHISH

I am a Computer Science student at LPU. I specialize in Machine Learning, Android development, and Data Structures. I am passionate about creating innovative, high-fidelity solutions and continuously learning new technologies to build impactful, professional applications.

7.98

B.Tech CGPA

Projects

5 ★

HackerRank

Key Focus Areas

Machine Learning

Data modeling, ARIMA prediction, PCA & Clustering

Core

Android Development

Native applications, layouts, UI reachability

Core

Data Structures & Algorithms

Optimizing complexity, Queues, Graphs, Trees

Core

Technical Skills

Listing of core proficiencies and platform competencies.

Programming Languages

Python

Machine Learning models, ARIMA, scripts

Advanced

C++

Object-oriented programming, complex DSA

Advanced

Procedural code foundations, memory pointers

Proficient

Java

Application code logic, circular queue structures

Intermediate

Web & Development Tools

HTML & CSS

Responsive styling systems, semantic structures

Advanced

JavaScript

Client-side logic, page interactions, event systems

Proficient

Android Studio

Mobile application compilation, native layouts

Advanced

MySQL

Relational schema design, queries and triggers

Intermediate

Jupyter Notebook

EDA modeling, KMeans, ARIMA data modeling

Advanced

Core Competencies & Soft Skills

Problem Solving

Logical resolution steps, HackerRank 5-Star

Core

Adaptability

Learning new frameworks, flexible working models

Core

Teamwork & Leadership

Coordinating project steps, clear communications

Core

Projects & Work

Explore my academic, training, and open-source software applications.

Machine Learning April 2025

Traffic Volume Prediction

Python ARIMA Plotly Matplotlib KMeans PCA

Targeted future traffic forecasting and congestion analysis across major Bangalore road networks for informed traffic planning.

Executed extensive preprocessing, feature engineering, and EDA on temporal and traffic variables. Applied KMeans and PCA across 8 areas and 16 intersections.

Constructed regression and ARIMA models with beautiful dynamic visualizations using Plotly.

Achieved improved accuracy in forecasting traffic trends, travel time indices, and travel time buffers, enabling actionable insights for intelligent traffic control.

View Repository

Web Platform (Training) July 2025