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Vansh Sachdeva

Computer Science And Engineering Major

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About Me

Vansh Sachdeva is a skilled data analyst and developer with expertise in predictive modeling, data visualization, and software development. He has recently worked on a Customer Churn Prediction Model and developed Sales & Customer Dashboards using Tableau. Proficient in Java (OpenJDK 21), Python, and data analytics, Vansh combines analytical thinking with technical proficiency to deliver data-driven insights. His work demonstrates a keen ability to translate complex data into actionable solutions, making him an asset in data science and business intelligence projects.

Experience

Full Time

Full Stack Developer At Olimpio DigiLabs LLP

  • Aim Of Project -: In partnership with the new product development team, execute the deployment of diverse components within a comprehensive Full Stack Development Project.
  • Tech Used- : NodeJs, MongoDB, Express.Js, React.Js, And 5 More technologies

Summer Intern

Research Intern And Developer at BITS Pilani

  • Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based JointScheduling and Resource Management.
  • Domain Of Project: Internet Of Things, Federated Learning, UAVs Based Networks & Privacy Preservation, and 2 more things.
  • Project Supervisor:: Dr. Vinay Chamola, SMIEEE (PhD, National University of Singapore).

Summer Intern

Fulstack Developer at Olimpio Digilabs LLC

  • Aim Of Project -: To Develop And Deploy various components of a Full Stack Vivo VBA Loyalty App, while working on all three phases of product development
  • Tech Used- : NodeJs, MongoDB, ReactJs, Payment API, HTML5, CSS, JavaScript, Google Analytic, SEO.
  • Impact: The site deployed has catered to more than 50000 Customers.

Freelancing

Web Developer (Part-time, Contractual)

  • Aim Of Project -: To Develop And Deploy a website for an Art Store start-up within a tenure of 1 month.
  • Tech Used- : PHP, MySql, STRIPE Payment API, HTML5, CSS, JavaScript, Google Analytic, SEO.
  • Impact: The site deployed has catered to more than 5000 Customers.

Education

Centre For Development Of Advanced Computing, New Delhi

Aug 2024 - Feb 2025

Post Graduation Diploma In Big Data Analytics

Jaypee Institue Of Information Technology, Noida

Aug 2019 - June 2023

Bachelor of Technology in Computer Science And Engineering

Vivekanand School

July 2017 - March 2019

Senior Secondary High School in Non-Medical Science Stream With Computer Science

D.A.V. Public School, Sahibabad

April 2009 - March 2017

High School

My GPA In CBSE 10th Board Was 9.4 Out Of 10.

Projects

Django Study Buddy

multiple-page dynamic websites were created to enhance web-development skills and concepts.

Tech: HTML5, CSS, Bootstrap, JavaScript, JQuery, Ajax, Django, SQLite

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React.Js Frontend Projects

multiple-page dynamic websites were created to enhance web-development skills and concepts.

Tech: HTML5, CSS, Bootstrap, JavaScript, JQuery, Ajax

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Machine Learning Powered Healthcare Management System

Makes the overall work of the healthcare institute easier and provides better results in mental and women health-related fulfilled problems. Capable of serving 1000+ users simultaneously

Tech: JavaScript, ReactJs, TensorFlow, Sklearn, Kaggle, HTML, CSS.

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Mental Health Prediction Using Machine Learning

Developed a project focusing on the crucial aspect of reducing the risk of serious mental disease, which is mental health prediction, and how it can be used as a theoretical foundation to develop plans for behavioural therapies for healthcare workers in the department of public health. Using a database with 10,000 records
Tech: Python, Keras, Intel Extension for Scikit Learn, Scikit Learn, Kaggle
Performance metrics for comparison used are Accuracy, recall And Precision of results

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Blockchain Based Chat Application

Cryptographic applique - Building a decentralized messaging app using the Ethereum blockchain. capable of serving 100 users simultaneously at the lowest gas price

Tech: JavaScript, ReactJs, Web3, Solidity, Ganache, truffle, Infura API.

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Performance Analysis Of Different Machine Learning Algorithms On Credit Card Fraud Detection

Comparison of performance of different machine learning algorithms such as artificial neural networks, sample vector machine, decision tree, Logistic regression, Kth nearest neighbour, naive bayes,random forest classification on redit card fraud detection.

Performance metrics for comparison used are Accuracy, recall And Precision of results

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Plagrism And Spam Checker

Plagiarism & Spam Checker is a project designed to mainly check the “common content” between the Content stored and the content submitted by the user. It also lists out the Spam/Inappropriate words from the submitted work.

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More Projects

For Checking Out Some More Projects, Checkout The Second Page.

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Skills

Certifications

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