Dilip Singh

About

Aspiring Data Scientist with hands-on experience in Python, machine learning, deep learning, data analysis, and predictive modeling. Built end-to-end ML pipelines across preprocessing, EDA, feature engineering, model training, tuning, and evaluation.

Experience

• Open Source Project Maintainer
  Dev Collaboration Hub · Remote
  Jun 2026 – Present

  Founded and maintain Dev Collaboration Hub, an open-source community focused on Python, backend development, AI, and system programming. Manage GitHub repositories, coordinate contributors, review code, plan project roadmaps, and develop open-source software.

• intern
  IBM · online
  2025 – Sep 2025

  Completed IBM SkillsBuild AI Fundamentals certification, covering Artificial Intelligence, Machine Learning fundamentals, Neural Networks, Data Analysis, Responsible AI, and real-world AI applications.

Education

• B.Tech / B.E.
  Sri Balaji College of Engineering & Technology, Jhotwara, Jaipur
  Computer Science and Engineering (CSE) · 2024 – 2028
• 12th / Higher Secondary (Class 12)
  Kendriya Vidyalaya No. 2, Jhotwara, Jaipur
  PCM · Apr 2013 – Mar 2015
• 10th / Secondary (Class 10)
  Kendriya Vidyalaya No. 2, Jhotwara, Jaipur
  General · Apr 2012 – Mar 2013
• Bachelor of Technology
  Sri Balaji College of Engineering & Technology (SBCET)
  Computer Science & Engineering · 2024

Skills

• SQL
• C++ Programming
• CSS
• Data Preprocessing
• FastAPI
• Git
• GitHub
• HTML
• Python
• JavaScript
• Statistics
• Classification
• Feature Engineering
• Matplotlib
• Model Evaluation
• NumPy
• Pandas
• scikit-learn
• Hypothesis Testing
• PyTorch
• TensorFlow
• Docker
• API Integration Understanding
• Linear Algebra
• Probability
• CUDA
• Regression
• Hyperparameter Tuning
• C++
• Lightgbm
• Jupyter Notebook
• Visual Studio Code
• Cross Validation

Projects

• Data Analysis & Machine Learning Experiments
  Python, Pandas, NumPy, Scikit-learn

  Cleaned and analyzed structured datasets, performed feature engineering and data preprocessing, built regression and classification models, visualized insights, and compared multiple machine learning algorithms.

• Hyperspectral Crop Disease Classification
  Python, PyTorch, NumPy

  Developed a deep learning pipeline for hyperspectral image classification. Processed thousands of hyperspectral image files, removed corrupted samples, built custom Dataset and DataLoader, and trained and evaluated models.

• Calorie Expenditure Prediction ↗
  Python, Pandas, Scikit-learn, LightGBM

  Built an end-to-end regression model to predict calorie expenditure. Performed data cleaning, preprocessing, feature engineering, exploratory data analysis, cross-validation, and hyperparameter tuning.

• Disk IO Performance Analyzer Auto Optimizer ↗
  python

  Disk I/O monitoring and optimization toolkit for analyzing disk bottlenecks and system performance.

Courses & certifications

• Python Core ↗ · SoloLearn · 2020
• Data Science · Self Learning
• Deep Learning · Self Learning
• Machine Learning · Self Learning
• Python Programming