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Nish232003/README.md

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👩‍💻 About Me

class NishitaJain:
    def __init__(self):
        self.name        = "Nishita Jain"
        self.degree      = "Integrated M.Tech — CSE (Data Science)"
        self.university  = "VIT Bhopal University | Batch of 2026"
        self.cgpa        = 8.38
        self.focus       = ["Machine Learning", "Deep Learning", "Data Engineering"]
        self.currently   = "Building ML pipelines & exploring computer vision"
        self.hobbies     = ["Painting 🎨", "Problem Solving", "Continuous Learning"]

    def say_hi(self):
        print("Thanks for visiting! Let's build something impactful together 🚀")

me = NishitaJain()
me.say_hi()

🛠️ Tech Stack

Languages

Python Java SQL

ML / Deep Learning

PyTorch scikit-learn XGBoost TensorFlow

Data & Visualization

Pandas NumPy Matplotlib Tableau Power BI Plotly

Tools & Platforms

Git Jupyter Streamlit MySQL VS Code

💼 Work Experience

🏢 ThinkAI India Consulting — Data Science Intern

Computer Vision · YOLOv8 · YOLOv11 · Safety Systems

  • Built a real-time warehouse safety monitoring system using YOLOv8 and YOLOv11
  • Implemented PPE detection (helmets, vests) and restricted zone alerts
  • Achieved reliable detection performance for live industrial deployment
  • Designed an end-to-end CV pipeline: data collection → training → inference

🏢 Sabudh Foundation — Data Science Trainee

Deep Learning · GANs · PyTorch · 3D Reconstruction

  • Implemented a 3D GAN pipeline to reconstruct facial structures from 2D images
  • Built and curated a dataset of 30+ distinct 3D object samples
  • Optimized GAN hyperparameters for improved training stability and output quality
  • Collaborated with a 3-member team using Git-based workflows

🚀 Featured Projects

🕵️ Fake Job Detector

Streamlit GitHub

Detects fraudulent job postings using XGBoost + TF-IDF NLP pipeline.

  • 🎯 98% classification accuracy
  • 🔤 TF-IDF vectorization on job description text
  • 📊 SHAP-based feature explainability
  • 🌐 Deployed live on Streamlit Cloud

Python XGBoost NLP Streamlit SHAP

🌱 Soil Sync

GitHub

IoT-ML pipeline predicting soil fertility from real-time sensor data.

  • 🎯 85% multi-class accuracy
  • ⚖️ Logistic Regression vs Random Forest comparison
  • 📡 Real-time IoT sensor data integration
  • 📊 Interactive Tableau dashboard

Python Scikit-learn IoT Tableau Pandas

🏙️ SafeCity — Crime Analytics

GitHub

Geospatial crime trend analysis across Indian states (2001–2018).

  • 📊 40,000+ records analyzed
  • 🗺️ Interactive Folium choropleth maps
  • 📈 State-wise trend visualization with Plotly
  • 🔍 Pattern detection across crime categories

Python Folium Plotly GeoPandas Pandas

💳 Fraud Detection

GitHub

ML pipeline for detecting fraudulent financial transactions.

  • ⚖️ Handled severe class imbalance (SMOTE/undersampling)
  • 🔍 Feature engineering on transaction patterns
  • 📉 Precision-recall optimization for real-world utility
  • 🧪 Multiple model comparison & evaluation

Python Scikit-learn Imbalanced-learn XGBoost

📊 GitHub Stats

GitHub Streak

📜 Certifications

Certificate Platform Issuer
🎓 Machine Learning NPTEL IIT
📊 Excel for Data Analysis Coursera Microsoft
🤖 AI Engineering Coursera IBM
🐍 Python Essentials Vityarthi —
📈 Introduction to Data Science Cisco NetAcad Cisco

📈 Contribution Graph

Nishita's Activity Graph

🐍 Contribution Snake

github-snake

💬 Connect with me!

Open to internships, research collaborations, and interesting projects.

LinkedIn Email

Popular repositories Loading

  1. Fraud_Detection Fraud_Detection Public

    This project applies machine learning to detect fraudulent transactions using a synthetic/public dataset. A Jupyter Notebook covers exploration, feature engineering, preprocessing, model training, …

    Jupyter Notebook 1

  2. Soil-Sync Soil-Sync Public

    SOIL SYNC is an IoT-ML pipeline that predicts soil fertility with 85% accuracy using real-time sensor data. It combines machine learning models with an interactive dashboard to help farmers monitor…

    Jupyter Notebook 1

  3. safecity_crime_data_analysis safecity_crime_data_analysis Public

    Crime rate trend analysis across Indian states (2001–2018) using data visualization and geospatial analytics.

    HTML 1

  4. siteiq-ddr-generator siteiq-ddr-generator Public

    Python 1

  5. Nish232003 Nish232003 Public

  6. Satellite_analysis Satellite_analysis Public

    Satellite-based terrain & vegetation analysis using CartoDEM and NDVI datasets — includes preprocessing, visualization, elevation modeling, and vegetation health assessment.

    Jupyter Notebook