Hello! I'm
Pradeep Kumar

I am a |

Pradeep Kumar
Python
ML
CV
C++

About Me

I am an AI/ML Enthusiast currently pursuing B.Tech in Artificial Intelligence and Data Science from Gati Shakti Vishwavidyalaya (GSV), Vadodara.

I enjoy solving DSA problems, working with data analytics, and building machine learning-based intelligent systems.

I am passionate about applying AI to real-world problems, especially in transportation and operational systems. I also enjoy esports gaming, which enhances my strategic thinking and decision-making skills.

about.py
class PradeepKumar:
  def __init__(self):
    self.name    = "Pradeep Kumar"
    self.role    = "AI & DS Engineer"
    self.college = "GSV, Vadodara"
    self.cgpa    = 7.84
    self.loves   = [
      "DSA",
      "AI/ML/DL/GenAI",
      "Esports & Strategy",
    ]

  def say_hi(self):
    return "Let's build something amazing!"

My Education

Gati Shakti Vishwavidyalaya

B.Tech – Artificial Intelligence & Data Science

Vadodara, Gujarat

CGPA: 7.84Aug 2023 – Jun 2027

Gyandeep Shikshan Sansthan Sr. Sec. School

Senior Secondary (Class XII)

Sikar, Rajasthan

93.40%Apr 2021 – Mar 2022

Govt. Secondary School, Khora

Secondary (Class X)

Sikar, Rajasthan

74.17%Apr 2019 – Mar 2020

Work Experience

CRIS Office, Delhi

Summer Intern – Machine Learning

Internship
  • Developed ML model for Arrival to Exam Start prediction for Indian Railways.
  • Analyzed complex scheduling datasets to improve exam logistics.
  • Collaborated with senior engineers on data pipeline design.
PythonMachine LearningData Analysis

DRM Office, Jaipur

Summer Intern – Predictive Maintenance

Internship
  • Built predictive maintenance models for railway operations.
  • Developed safety monitoring analytics for railway infrastructure.
  • Worked with domain experts to define model objectives and KPIs.
Predictive AnalyticsSafety SystemsML

Skills & Tools

Python
C++
C
R
Machine Learning
Deep Learning
Computer Vision
NLP
Time Series Forecasting
DSA
Neural Networks
Reinforcement Learning
Data Analytics
Feature Engineering
Model Deployment
VS Code
MySQL
PyTorch
TensorFlow
Scikit-learn
OpenCV
HuggingFace
Hadoop
Cisco PT
Git
Jupyter
Pandas
NumPy
Streamlit
YOLO

Project Showcase

Hotspot Identification

Data-driven system to identify high-risk zones in railway transportation networks.

  • Spatio-temporal analysis to detect high-accident zones across stations.
  • Visualized risk heatmaps for operational decision-making.
  • Integrated historical incident data with network topology graphs.
PythonGeoPandasSpatio-TemporalAnalytics
GitHub

Railway Defect Detection

Real-time railway track defect detection system using YOLOv8 and Streamlit.

  • YOLOv8-based model trained on custom railway track defect dataset.
  • Streamlit dashboard for real-time detection and alert reporting.
  • Achieved 91%+ mAP on test split with live video inference.
YOLOv8PyTorchComputer VisionStreamlit
GitHub

Arrival to Exam Start Prediction

ML model for Indian Railways CRIS to optimize exam center logistics using scheduling data.

  • Trained regression and ensemble models on multi-year scheduling records.
  • Reduced prediction error by 23% vs baseline heuristics.
  • Model deployed as an internal tool for CRIS exam logistics team.
Machine LearningScikit-learnPythonCRIS
GitHub

Inventory Management System

Java desktop application with role-based access and full inventory control.

  • Java Swing UI with role-based authentication (Admin / Staff).
  • MySQL + JDBC backend for persistent data management.
  • Modules: stock tracking, purchase orders, and low-stock alerts.
JavaSwingMySQLJDBC
GitHub

RailConnect

Relational database system for comprehensive railway operations management.

  • Designed normalized schema for trains, routes, tickets, and staff.
  • Complex SQL queries for scheduling, route optimization and reporting.
  • Simulates real-world Indian Railways booking workflows.
SQLMySQLDBMSRailway Ops
GitHub

My Achievements

Raisina Hackathon

Received Certificate of Appreciation for innovative problem-solving at the national-level hackathon.

NVIDIA Deep Learning

Certified in Deep Learning by NVIDIA — neural networks, training pipelines and inference optimization.

NVIDIA Computer Vision

Certified in Computer Vision by NVIDIA — image classification, object detection and segmentation.

Real-Time AI Systems

Built and deployed real-time AI systems processing large-scale railway datasets for safety-critical use.

Let's Connect

I'm always open to new opportunities, collaborations, and conversations. Drop me a message!

Location

Vadodara, Gujarat, India