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  • Mohali,Punjab
  • 11:03 (UTC +05:30)

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SankalpMakol016/README.md

πŸ‘‹ Welcome to my profile

Data Science & Engineering Student | ML / MLOps Enthusiast

Typing SVG

Profile Views


About Me

  • B.Tech in Data Science & Engineering at Manipal Institute of Technology β€” Expected May 2028
  • Building end-to-end MLOps pipelines, from data ingestion and model training to CI/CD-driven cloud deployment
  • Focused on Machine Learning, Deep Learning, and MLOps
  • Hands-on experience deploying ML applications using AWS, Docker, and GitHub Actions
  • Working with ANNs, CNNs, and RNNs using TensorFlow and Keras
  • Open to ML / Data Science / MLOps internship opportunities
  • Reach me at sankalp.sumit.makol@gmail.com

Tech Stack

Languages

Machine Learning & Deep Learning

Data Science

MLOps & Deployment

Databases & Tools


Projects β€” Showcase

πŸ›‘οΈ Network Security MLOps

End-to-end ML pipeline for phishing detection on an 11K-record dataset.

96.7% Accuracy Β· 97.2% F1 Β· 99.6% ROC-AUC

Schema validation, SMOTE, GridSearchCV, experiment tracking and automated cloud deployment.

Tech

Python XGBoost MLflow
Docker AWS MongoDB

πŸ“… CalSync

Collaborative event scheduling platform with secure authentication, event management, participant invitations, availability tracking and recurring events.

Containerized using Docker and deployed on Render with Railway MySQL in a production-ready cloud environment supporting secure authentication, session management and relational data persistence.

Tech

Python Flask MySQL
Docker Render Railway

🎬 IMDB Sentiment Analysis

Deep learning-based NLP application for classifying IMDB movie reviews as Positive or Negative.

Built a SimpleRNN model with sequence preprocessing, word embeddings, hyperparameter tuning and a custom inference pipeline.

Tech

TensorFlow Keras SimpleRNN
Keras Tuner NLP Streamlit


πŸŽ“ Student Performance Prediction

Modular machine learning system for predicting student exam performance.

Benchmarked five regression models and achieved 88% RΒ² with the best-performing model.

Complete training, prediction and deployment pipeline.

Tech

Python Scikit-Learn XGBoost
CatBoost Flask AWS

🏨 Hotel Management System

JavaFX desktop application designed around core object-oriented programming principles and modular application design.

Implemented encapsulation, generics, collections, serialization and multithreading for managing hotel operations and application workflows.

Tech

Java JavaFX OOP
Collections Multithreading

🧠 Customer Churn ANN

Artificial Neural Network for predicting customer churn from bank customer data.

Includes preprocessing pipelines, persisted encoders, early stopping and TensorBoard experiment tracking.

Deployed with an interactive prediction interface.

Tech

TensorFlow Keras ANN
Scikit-Learn Streamlit


Contribution Graph

GitHub contribution snake animation


🀝 Let's Connect

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  1. network-security network-security Public

    Network security threat detection using ML. Full MLOps pipeline: data ingestion from MongoDB, validation with drift detection, SMOTE + RandomForest training, MLflow tracking, Dockerized FastAPI, de…

    Python

  2. student-performance-mlops student-performance-mlops Public

    End-to-end MLOps pipeline for student performance prediction using Scikit-Learn, Flask, Docker, GitHub Actions, AWS ECR and EC2.

    Jupyter Notebook

  3. customer-churn-prediction-ann customer-churn-prediction-ann Public

    Jupyter Notebook

  4. hotel-management-java hotel-management-java Public

    A JavaFX hotel management desktop app built to practice core Java OOP β€” encapsulation, generics, collections, serialization, threading, and more.

    Java