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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()

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🛠️ Tech Stack

Languages

ML / Deep Learning

Data & Visualization

Tools & Platforms

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💼 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

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🏢 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

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🚀 Featured Projects

🕵️ Fake Job Detector 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 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 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 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

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📊 GitHub Stats

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📜 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

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📈 Contribution Graph

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🐍 Contribution Snake

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💬 Connect with me!

Open to internships, research collaborations, and interesting projects.