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RealtyREST
October 6, 2024 – October 22, 2024
RealtyREST is a full-stack real estate management application designed to manage property listings efficiently. It provides features for adding, viewing, updating, and deleting property information using a Spring Boot backend and a Next.js frontend, all hosted on AWS.
View ProjectFraud-Detection-and-Prevention-in-Online-Payment-Processing
August 8, 2024 – August 27, 2024
This repository contains a Data Engineering workload for a fraud detection system in online payments. Leveraging AWS and Snowflake, it covers data ingestion, transformation, storage, and machine learning integration.
View ProjectStreamlytics-Netflix-Analysis
July 20, 2024 – July 20, 2024
This project leverages Amazon QuickSight to visualize and analyze Netflix data, providing insightful dashboards and interactive visualizations. By following a structured workflow, we connect our dataset stored in an S3 bucket to QuickSight, create a variety of graphs and charts, and publish a comprehensive dashboard.
View ProjectComputer-Science-Engineering-Resources
June 26, 2024 – July 28, 2024
Your go-to repository for essential PDF resources in Computer Science Engineering, featuring textbooks and study materials to support your learning journey.
View ProjectMarketStream-Dynamic-Stock-Analysis-Engine
May 26, 2024 – July 2, 2024
An end-to-end data pipeline processes real-time stock market data using Apache Kafka and AWS. The project involves simulating stock market data with Python and Boto3, streaming it into Kafka topics hosted on Amazon EC2 instances.
View ProjectComing-Soon-Landing-Page
July 13, 2023 – July 13, 2023
Coming-Soon-Landing-Page — GitHub repository
View ProjectSpotBot
June 18, 2023 – June 26, 2024
Mechanism for Detecting Bots in Twitter using Machine Learning Algorithms
View ProjectButton-Ripple-Effect
October 28, 2022 – October 28, 2022
Button-Ripple-Effect — GitHub repository
View ProjectAlarm-Clock-using-Python
May 25, 2021 – May 25, 2021
The objective of our project is to implement an alarm clock using Python. Python consists of some very innovative libraries such as datetime and tkinter which help us to build the project using the current date and time as well as to provide a user interface to set the alarm according to the requirement in 24-hour format.
View ProjectCultural Fit Analysis
The candidate has a strong portfolio of personal projects, indicating initiative and a passion for technology. The projects span various domains including web development, data engineering, and machine learning, suggesting a broad interest. However, the 'experienceLevel' is 0, and there are no formal work experiences or team-based projects listed, which makes it challenging to assess cultural fit in a collaborative professional environment. The target role is 'Data Scientist', and while several projects align with data science and engineering, the overall breadth of projects (e.g., full-stack web development) might indicate a less focused career path at this stage.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to learning and applying new technologies. The diversity of personal projects suggests self-motivation and an ability to work independently. However, without formal work experience or psychometric test results, it is difficult to assess collaboration, stress handling, or direct operational fit.