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bitcoin_101
May 2, 2021 – May 13, 2021
Basically this project is divided into two parts. Bitcoin Price Live Chart – In this, the Binance Crypto API, a streaming data API, is connected to a JavaScript websocket, which then gives the data to Light Weighted Trading View Candlestick Chart. Afterwards, the live chart is implemented to a Flask framework, which is then containerized by Docker and deployed through Azure. Flutter App – A basic Flutter app, in which the user sees an interactive front page. On the front page the user can find a button, which when clicked, renders in a webview page the Bitcoin Price Live chart which is deployed on Azure. By this the user gets the live price change of Bitcoin Crypto Currency on their cell phone by just clicking a single button.
View Projectamazon_price_tracker
April 6, 2021 – January 21, 2022
It is a web app which provides the user a HTML Form that asks for user’s name, link of the desired Amazon product, desired price and user’s email address. When user fills this form and clicks on the Submit button, their data gets stored in a database. From there a Python script checks the real-time price of the Amazon product until it meets the desired price given by the user and when it matches, the Python script shoots a mail with details of the product on user’s email address and deletes the record from database to avoid multiple mailings.
View Projectkaggle_summary_card
April 2, 2021 – April 25, 2021
kaggle_summary_card — GitHub repository
View ProjectBreast-Cancer-EDA-Predictive-Modelling-
March 30, 2021 – March 30, 2021
Breast-Cancer-EDA-Predictive-Modelling- — GitHub repository
View ProjectAmazon-Top-50-Bestselling-Books-2009---2019
February 11, 2021 – February 11, 2021
Dataset on Amazon's Top 50 bestselling books from 2009 to 2019. Contains 550 books, data has been categorized into fiction and non-fiction using Goodreads.
View ProjectEDA-on-Covid-19-India-
December 7, 2020 – December 8, 2020
EDA-on-Covid-19-India- — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration, particularly in data science and web development. The diversity of projects, from web scraping to data analysis and even mobile app integration, suggests a curious and self-driven individual. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team setting. The projects align with a data scientist role, but the depth of data science specific skills needs further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.