Syed Rahman
Apprenant.e - Il / Lui
(1)
8
Lieu
Toronto, Ontario, Canada
Bio

Hello, my name is Syed Tabish Rahman, and I am an aspiring Software Engineer. I am currently a student at York University studying Information Technology. I am skilled in Python, JavaScript, React, HMTL, CSS.

In my free time, I enjoy working out, trying new food spots, martial arts, and gaming!

Please feel free to reach out to me at tabishrahman2002@gmail.com or through LinkedIn if you would like to start a conversation anything related to tech or just in general if you have any questions.

Portails
Catégories
Sécurité (cybersécurité et sécurité informatique) Développement de logiciels

Compétences

Android (operating system) 2 Apple ios 2 Application programming interface (api) 2 Language education 2 Phlebotomy 2 React.js (javascript library) 2 Scheduling 2 User experience (ux) 2

Profils sociaux

Réalisations

Dernières rétroactions

Projets récents

The Big Leaf
The Big Leaf
Toronto, Ontario, Canada

Mobile App: UI/UX Development

Required: Design a Full UI/UX for a new App that better matches Care Workers with Clients [profiles, manual matching, GPS, scheduling]. Preferred: React Native Background Panion - a Big Leaf project that is in development: It consists of an App-based platform (android/iOS) that matches Care Workers with their Clients. Nurses, PSWs, physical therapists, phlebotomists, companions, etc. create are matched with clients based on key factors, which are customizable for each party. Care Workers create online profiles with Key Factors like Education, Experience, Language(s), Specialties, Certifications, Vaccines, Geographical and Temporal Availability, etc. Clients and their families or caregivers fill out a profile with requirements such as times and days, expertise, experience, language, education, vaccinations, etc. The system matches Client to Care Worker, or manual matches can be made by users, and Panion takes only 15% of revenues per transaction; one-half of what many agencies take. What makes Panion different? We are focused on Care. Quality Care is something that is a result of a concerted and collaborative effort. We know that Care Workers are often underpaid, underappreciated, mismatched with clients, and required to travel great distances without remuneration. We also know that Care Workers almost never have access to Benefits, Insurance, and Pensions from the agencies to looking which they dedicate their life. Panion offers Care Workers benefits, insurance, and pension plans, takes less revenue, and makes better matches. Panion also lets users Rate each interaction for both parties, via our sister company KnowQuest (using KnowQuest's API). How can you help? We need your help in developing, improving, and optimizing our Panion platform! From design to databasing, security to deployment, this is a new endeavour and you can make a real meaningful impact on the project, the company, and the many many caring people in the industry that we will be able to give better lives and opportunities to!

Jumelages 5
Catégorie Bases + 4
Fermé

Projets personnels

Python program
juin 2023 - juin 2023
https://github.com/tabish-2002/Stock-market-predictor

This program is a simple stock visualizer that allows users to view stock price trends over a specified period. The program utilizes Python libraries such as matplotlib, mpl_finance, pandas_datareader, and tkcalendar to download stock data and plot a candlestick chart.

The program allows users to input a stock ticker symbol and a date range for the visualization. Users can select the date range using Tkinter date entry fields, and the program will download the stock data from Yahoo Finance for the specified period. The program will then restructure the data into the OHLC (Open-High-Low-Close) format required for candlestick charts.

The program adjusts the plot style to enhance readability, and then plots the candlestick chart for the selected stock ticker and date range. The visualization includes information such as the opening and closing prices, as well as the high and low prices for each day.