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Strong believer of - "The technology you use is nothing, but the user experience you deliver with it is everything"

šŸ”­ Dream big, Work hard!

šŸŒ± Currently focusing on practicing Data Structures and Algorithms and utilizing them to develop scalable solutions while building enterprise-level applications leveraging Cloud platforms as services with AWS and GCP

šŸŽ“ Graduated from Northeastern University in May 2023

šŸ‘Æ Co-op with Signify as a Software Engineer curating solutions for their BigData and IoT Engineering team by building and engineering APIs for the Device Management team

šŸ“Œ Iā€™m looking to collaborate on projects that involve building applications using Java and Python frameworks and deploying utilizing Cloud platform as a service

šŸ˜„ Looking forward to evolving and growing as a Software Engineering Professional

āš” Fun fact: I love Yellow! Finding my yellow! šŸ‘‹

šŸ„… 2023 Goals: Learn Learn Learn Learn Learn!

šŸ“« How to reach me: [email protected] | [email protected]

Happily, I can contribute and share my learnings on the following!

Technical Skills
Languages and Frameworks Java/J2EE, Micronaut, Spring MVC, Spring Boot, Python (numpy, pandas, seaborn, ggplot, matplotlib scikit-learn), Flask, SQL, MATLAB, Shell Scripting
Web Technologies HTML, CSS, SASS, LESS, Bootstrap, Material UI, JavaScript (ES6), AJAX, jQuery, JSON, JSP, React JS, Redux, Express JS, NodeJS
Tools Selenium, Jenkins, Docker, Kubernetes, Helm, JIRA, Terraform, Webpack
Cloud Technologies AWS VPC, Subnets, EC2, Elastic Load Balancer, SSM, S3, IAM Policies, Route53, Autoscaling, Lambda, SNS/SQS RDS, DynamoDB, CloudWatch, Kinesis
Database and Visualization MYSQL, SQL Server, Oracle, IBM DB2, Hibernate, SQLite, Kibana, Grafana, Prometheus, Tableau, Google Data Studio

Forum Bhatt's Projects

content-based-movie-recommendation icon content-based-movie-recommendation

Content-based recommendation engine using Python and Scikitlearn, using concepts of Cosine distance and Euclidean distance. Finally, by using IMDB 5000 movie dataset built a content-based recommendation engine using CountVectorize and Cosine similarity scores between movies.

cryptocurrency-price-tracker icon cryptocurrency-price-tracker

Created an Angular API Project which uses Angular HttpClient for API calls, Routing, RxJs Features. User can search currencies and the prices will update live on refresh.

ecommerce-sales-operation-oltp-db icon ecommerce-sales-operation-oltp-db

Designed conceptual data models using Entity Relation Diagrams wrt Business Rules. Implemented Data dictionary, CRUD, Views, Triggers, Stored Procedures and Privileges and analysed data using Plotly in Python and Google data set for dashboards

elevator-management-system icon elevator-management-system

Repository for implementation of an Elevator Management System on SQL server. It contains the above implementation through the use of SQL DDL statements, SQL insert procedures, SQL trigger statements, column computation & encryption using Asymmetric Keys, defined Views through Common Table Expression & PIVOT and Horizontal Formatting.

inventory-management icon inventory-management

Describing Inventory Control Techniques and Methods to analyze existing inventory data and stocks using Python, Power BI and Excel forms

iot-device-shadow-service icon iot-device-shadow-service

This project creates a Digital Device Shadow service by creating Things on AWS IoT with a Pub-Sub Architecture and a Lambda function for the authorizer. In order to monitor, a fleet hub application is created.

restaurant-location-predictor icon restaurant-location-predictor

Predicting ideal location for a new restaurant using Yelp dataset by conducting Exploratory Data Analysis and Machine Learning/Predictive Analytics to classify 1-5 star yelp reviews

serverless icon serverless

This repo contains Lambda function code which sends email to registered users of Library Management System when a user adds or deletes a book from the system. It utilizes SES and SNS services of AWS to complete this task.

text-to-speech icon text-to-speech

Text-To-Speech Application System With TKinter & Python 3 with an instance of speech synthesis.

user-management-with-spring-boot-and-react icon user-management-with-spring-boot-and-react

Created a full stack CRUD ( Create, Read, Update, Delete) using Spring boot and React Hooks using Functional Components. The project features Web Services (REST API) using Spring, Hibernate ORM and MySQL on Backend and Tested using Postman and handle the same REST API on react in frontend using AXIOS.

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