A Full-Stack Software Developer with experience in Software Development and Data Science.

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Projects

MeetMeFit App


MeetMeFit is an app and a startup incubated at the New Jersey Innovation Institute that helps people find Fitness Buddies, Sports Partners and Gym Partners near them based on their fitness goals and level.


Stack
  • Flutter
  • Dart
  • Firebase
  • Node
  • GCP
  • MERN

MeetMeFit Challenges App


The MeetMeFit Chalengeds app is an app where users can take up exciting fitness challenges and earn physical rewards when they complete challenge tasks.


Stack
  • Flutter
  • Dart
  • Firebase
  • Node
  • GCP

Fabric Fault Detection


This is a project that consists of a model built using Convolutional Neural Networks(CNN) to detect faults in fabrics with over 80% accuracy which is 20% higher than the industry average.


Stack
  • Python
  • CNN
  • AI
  • Data Science

Volkswagen Porcshe Buyout Analysis


This is a project that consists of a full analysis and forecast of the stock prices of Folkswagen and Porche during their merger. We also compare the price fulctuations for the BMW stock during this timespan.


Stack
  • Python
  • Time Series
  • ARMA
  • Forecasting

Online Advertisement Click Prediction


In this project, I have modeled upon a publicly availble dataset to predict whether or not a person would click on an online advertisement


Stack
  • Python
  • Logistic Regression
  • Data Science
  • Predictive Modeling

Coronary Heart Disease Prediction


In this project, I built a model that predicts whether an individual would suffer from a Coronary Heart Disease(CHD) in the next 10 years based various vital signs and parameters.


Stack
  • Python
  • Predictive Modeling
  • Data Science

Restaurant Rating Prediction(NLP)


This predictive model uses Sentiment Analysis to predict the Star Rating given by a customer based on a review written in text.


Stack
  • Python
  • NLP
  • Data Science
  • Predictive Modeling

Campus Placement Prediction(DNN)


This is an analysis and prediction of whether a university student will get employed based on their academic history and professional experience using Deep Neural Networks.


Stack
  • Python
  • Neural Networks
  • Data Science
  • Predictive Modeling

Technologies

I have worked with a range of technologies in the Web Development, App Development and Data Science Domain.

  • Front-End

    React, Flutter, Angular 14, XML(Android), HTML and CSS

  • Back-End

    Python, Java, Dart, JS, C, C++, C#, ASP.NET(Framework), Node.js, Kotlin, Redux and Swift

  • Databases

    MYSQL, Oracle SQL, MongoDB, Firestore and Elastic Search

  • Cloud

    Google Cloud Platform(GCP, includes Firebase) and AWS

  • Data Science

    Predictive Modeling, Time-Series Forecasting using AR, MA, ARMA and ARIMA models, Scipy, Scikitlearn, OpenCV, Matplotlib, Pandas, R, Tensorflow and Keras

  • UI/UX

    Figma and AdobeXD


About Me

The purpose of JavaScript Mastery is to help aspiring and established developers to take their development skills to the next level and build awesome apps.

Professional Experiences

I have Interened in several start-ups and MNCs at various Software Development positions

  • GEP Global

    July 2022 - Current
    Software Developer



    .NET Core 6, Angular 14, Microservices, AI/ML, Camunda BPM, MongoDB, Elastic Search

  • MeetMeFit

    January 2020 - Current
    Founder and Software Developer



    Flutter, Dart, Firebase, GCP, Node.js, MERN

  • CodeReal Education

    January 2020 - December 2021
    Founder, Developer and Educator



    MERN, Python

  • Personalytics

    June 2020 - November 2020
    Intern Data Scientist



    Python, AI/ML

  • KServe BPO Pvt. Ltd.

    July 2019
    Software Development Intern



    .NET Core 3.1

Personal Accomplishments

20+
Projects
5+
Tech. Experiences
20+
Technologies
15+
Courses and Certifications

Changing the world, one tech product at a time 🌏🌎🌏