Projects

Machine Learning-based Problems

• Polynomial Fitting - [GITHUB Link]

• Gradient Descent - Batch Mode & Stochastic Mode - [GITHUB Link]

• Gradient Descent Implementation - Scratch - [GITHUB Link]

• Neural Networks - [GITHUB Link]

• Decision Trees - [GITHUB Link]

• Genetic Algorithms - [GITHUB Link]

STANDALONE PROJECTS

Mosaic (Project in Adobe)

Tech Stack -

• Netflix Conductor(Orchestrator Engine)

• Java, Python

• Machine Learning Algorithms

• MongoDB Database

• RESTful APIs

• Hazelcast Caching

• Adobe Experience Manager

Roles & Responsibilities

• Worked as an Architect & Developer

• Creative Cloud and Document Cloud products marketing data analysis, data insights

• Development of Intelligent services

• Developed a tool to personalize the content in AEM to increase users' interaction with Adobe products

Covid19 Live Tracker & Predictor (Personal Project)

Tech Stack -

• Python

• Flask Framework

• Dash

• Pandas, Matplotlib, Scipy, Numpy, Scikitlearn

• Fbprophet Model

Roles & Responsibilities

Developed a portal to track and predict number of corona cases in different regions of India.

Visualizer Module -

• Here you can select any State of India and track corona cases

• You will find different visualization plots here and you can analyze the current situation in different regions of India

Predictor Module -

• You need to select State here and then you will reach to Predictor page where you have to select the district of the selected state and the type of cases that you want to predict.

• Once selected, you can predict here count of confirmed, active, deceased, and recovered cases in India

Shopping Virtual Assistant (Personal Project)

Tech Stack -

• Python

• NLP Libraries - nltk, SnowballStemmer, WordNetLemmatizer, word_tokenize, sent_tokenize

• LogisticRegression

• Pandas, Matplotlib, Scipy, Numpy, Scikitlearn

• Tensorflow

• Keras

• TfidfVectorizer

Roles & Responsibilities

Developed a portal to predict categories and sub-categories of a product based on user's simple description of the product.

• As input, the user needs to give some statement related to the product and our assistant will predict the product for the user.

• Users can give the description in their natural language and our assistant will predict the categories and products for the same.

AT&T Mobility (Project in Amdocs)

Tech Stack -

• Java

• Spring Boot

• Camunda Engine

• Couchbase

• OpenShift

• YAML

• AWS

• Docker

• Kubernetes

• Kafka

• Kibana

Roles & Responsibilities

• Worked as a Software Developer

• Developed Microservices in AWS environment (Shopping Cart, Order Creation, Order Submission, Checkout, Validation, Offering Discovery, etc

• Kafka & Couchbase Integration

• Logging, Tracing, Monitoring

• CRM Implementation

• Payment Service Implementation

Order Management System (Project in Amdocs)

Tech Stack -

• Java

• Spring Boot

• Camunda Engine

• API Gateway

• OAuth

• Business Process Development

Roles & Responsibilities

• Worked as a Software Developer

• Worked on OMS Modules in AWS env along with API Gateway for security

• Creation of Order and Flow management from creation to submission flows(Amend, Change, Suspend, Create, etc)

• Creation of Business Process for Order Flows and development of Backend logic for Business Processes

MetLife (Project in IBM)

Tech Stack -

• Java, Python

• Spring Boot

• MainFrame

• Salesforce

• Selenium

• Testng

• Data Analysis

Roles & Responsibilities

• Worked as an Application Developer

• Worked on Insight Dental Application (MetLife Application)

• Insurance Data Analysis & Management

• Automation of Test Cases - Insurance Data Flow