Hello!

I'm Gauri Deoghare



At Symbiosis Institute of Technology, Pune

My works

Name: Gauri Deoghare

Role: Final Year Student

Branch: Computer Science and Engineering

Address: Pune, India

Skills

SQL 95%
PYTHON 85%
Data Visualization 90%
Aritificial Intelligence 85%
Machine Learning 80%

About

About Me

A passionate and dedicated Computer Science and Engineering (CSE) student with a strong desire to make a meaningful impact through technology. I am eager to apply my theoretical knowledge to real-world challenges. I thrive on problem-solving and am constantly exploring new technologies and tools to broaden my skill set.

  • Profile: Data Science & Analytics
  • Domain: Aritificical Intelligence, Machine Learning, Data Science & Database Management Systems
  • Education: Bachelor of Technology
  • Language: English, Hindi, Marathi
  • BI Tools: Microsoft Power BI, & Tableau
  • Other Skills: Cloud, Excel, Git,Google Analytics
  • Interest: Traveling, Travel, Photography

0 +   Projects completed

0 +   Research Papers Published

LinkedIn

Resume

Resume

Energetic and enthusiastic Computer Science Engineering student with strong foundations in AI/ML, GenAI and deep passion for turning data into actionable insights using Machine Learning and Deep Learning. .

Projects


02/2025–05/2025

Hybrid Deep Learning Models and gradient boosting models for landslide segmentation.

• Conducted deep learning research for landslide segmentation using U-Net and hybrid encoder models on remote sensing datasets, achieving ROC AUC of 0.80.

  • Used the highly labeled DMLD Dataset”.
  • Developed and evaluated multiple hybrid models to improve landslide detection accuracy, achieving robust results with ROC-AUC up to 0.980.
  • Used for identifying landslide prone areas and mitigating risks.

02/2025-04/2025

Access- Shield

AI Powered BAC Detection and Mitigation

  • Created a custom Python dataset for Broken Access Control (BAC) detection, published on Mendeley.Data.
  • Evaluated traditional and advanced ML models (XGBoost, LightGBM, MLP etc.) to build a reliable and secure BAC detection framework with over 94% ROC-AUC.
  • Research paper accepted at Taylor and Francis Journal for publication.



Education


2022-2026

Bachelor of Technology

Symbiosis Institute of Technology

Grade: 7.8 CGPA.

Batch:2022

Higher Secondary School

Nashik Cambridge School

Grade: 98.4%.

Download CV

Projects

Projects

Below are the projects which I have worked on.

Password Security Prediction Using Advanced Deep Learning Architectures  

Developed and evaluated deep learning models (EfficientNetB2, ResNet152V2, ConvNeXtBase, etc.) for image classification, achieving up to 99.25% accuracy with CNN-based architectures.

Integrative Malware Detection using Ensemble Learning

Applied ensemble learning (GBM, XGBoost, CatBoost) on Microsoft Malware Classification Challenge 2015 dataset, improving detection by 22%.

Impact of Data Breaches on Business (Power BI & ML-based Analytics)  

Designed an interactive Power BI dashboard using 4,000+ web-scraped breach records to visualize financial loss, lawsuits, GDPR fines, and industry-wise impact


Stroke Risk Prediction with Explainable AI and Ensemble Modelling

The Stroke Prediction Pipeline was a machine learning project developed to predict stroke risk using the brain_stroke.csv dataset.

Cyber-Sheild

Created a custom Python dataset for Broken Access Control (BAC) detection,&• Evaluated traditional and advanced ML models (XGBoost, LightGBM, MLP etc.) to build a reliable and secure BAC detection framework with over 94% ROC-AUC.

0 Achievements
0 Projects
0 Published Research P
0 Cups of coffee

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

Pune, India

Contact Number

+91 960000866

Email Address

deogharegauri2@com

Download Resume

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