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    • Home
    • PROJECTS
    • ACHEIVEMENTS
    • PUBLICATIONS
    • CONTACT
    • Github
    • Google Scholar
  • Home
  • PROJECTS
  • ACHEIVEMENTS
  • PUBLICATIONS
  • CONTACT
  • Github
  • Google Scholar

My Education



MS in Information Science, University of Pittsburgh 

(2022-2024) 

GPA: 3.8



BE in Computer Science & Engineering, Visvesvaraya Technological University 

(2016 – 2020) 

GPA: 3.2

VOLUNTEERING



Women Tech-makers Ambassador

Jul 2023 - Present 


Student Information Technology subcommittee Member

University of Pittsburgh Student Affairs

Jan 2023 - Present 


Student Mentor

CGI

Jan 2023 - Jun 2023


Campus Business Manager

PrepBytes

Jul 2020 - Sep 2020


Event Coordinator

Computer Society of India

Feb 2018


CERTIFICATIONS

Salesforce Certified AI Specialist

Issued Oct 2024


Salesforce Certified AI Associate

Issued Nov 2023


Salesforce Certified Associate

Issued Jul 2023


Microsoft Certified: Azure Fundamentals

Issued Sep 2021

View All Certifications

Projects

Her Health Advocate – Digital Health Platform

BERT-Based Interactive Document Retrieval & Q&A System

BERT-Based Interactive Document Retrieval & Q&A System

Developed a digital health platform with HTML/CSS/JS, Flask, JWT authentication, MongoDB, and ChatGPT API, leading to a 30% increase in user engagement.

View Project

BERT-Based Interactive Document Retrieval & Q&A System

BERT-Based Interactive Document Retrieval & Q&A System

BERT-Based Interactive Document Retrieval & Q&A System

Created a document retrieval system using BERT, Angular, and Tailwind CSS, with a backend powered by Flask, Celery, Redis, and Elasticsearch for efficient real-time data interaction.

View Project

Corrosion Rate Prediction Using Machine Learning

BERT-Based Interactive Document Retrieval & Q&A System

Differential Privacy in Big Data Classification with Deep Learning:

Trained multiple ML models (Bayesian, SVM, DNN, KNN) to predict corrosion rates, reducing incidents by 20% through data-driven insights.

View Project

Differential Privacy in Big Data Classification with Deep Learning:

Differential Privacy in Big Data Classification with Deep Learning:

Differential Privacy in Big Data Classification with Deep Learning:

Enhanced classification accuracy by 15% using Epsilon Differential Privacy, leveraging Python libraries like Pandas, Scikit-learn, Pytorch, TensorFlow, and Keras.

Addressing High Delivery Costs in Low Density Areas

Differential Privacy in Big Data Classification with Deep Learning:

Addressing High Delivery Costs in Low Density Areas

Deliverable: Frameworks and strategies to approach lowering cost in remote delivery
zones.

Full Stack Development Projects

Differential Privacy in Big Data Classification with Deep Learning:

Addressing High Delivery Costs in Low Density Areas

View Projects

OpenGL Project Simulation Of Water Dam using Codeblocks

OpenGL Project Simulation Of Water Dam using Codeblocks

OpenGL Project Simulation Of Water Dam using Codeblocks

Simulation of Water Dam using openGL and C#

Publication and Conferences

Comprehensive Study of Differentially Private Deep Learning Mechanism

NATIONAL CONFERENCE ON EMERGING TRENDS IN ENGINEERING SCIENCE FOR FUTURE TECHNOLOGY 

Aug 1, 2020


Conference 

1st National Conference on Emerging Trends in Engineering Science for Future Technology (NCETESFT-2020)

 

SHOW PUBLICATION

Achievements

James G. Williams Scholarship Fund 

School of Computing and Information   04/2024

Second Place, She-Innovates Hackathon 

School of Computing and Information  02/2023

Capturing moments

    Contact Me

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    Hey everyone!

    I've been getting a lot of DMs for guidance, so decided to take action on it.

    I'm excited to help folks out and give back to the community via Topmate. Feel free to reach out if you have any questions or just want to say hi!

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