
Building impactful web and data-driven solutions with Python & React.js | Exploring Data Science, AI & GenAI
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Assessing your cultural and operational fit
Software Developer | Data Science Learner
Data Scientist
June 24, 2026 – Present
brisbane-2032-olympics-analytics
May 11, 2026 – Present
brisbane-2032-olympics-analytics — GitHub repository
View ProjectReviseWithArsh-6companies30days
January 7, 2023 – January 16, 2023
I will be posting my coding files for the 30 days challenge in this repository.
View ProjectReact_Expense-Tracker
June 8, 2022 – July 13, 2025
Wanna track your expenses?! Use this application to keep an eye on your savings and expenses.
View ProjectRock-Paper-Scissors-Game
February 18, 2022 – February 18, 2022
The rock-paper-scissors game illustrates the basic principles of an adaptive artificial intelligence technology. Like Afiniti, the system learns to identify patterns of a person's behavior by analyzing their decision strategies in order to predict future behavior. I have replicated this game using python where one can play rock-paper-scissors with the system.
View ProjectPassword-Manager
February 18, 2022 – February 28, 2023
This is a project on password manager which is done using python. I have made use of Fernet module which helps in encrypting texts.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an interest in learning and self-improvement, which could indicate a proactive attitude. However, the diversity of projects is limited, and there is no information regarding collaboration or team-based work. The target role is 'Data Scientist', and while there are relevant projects, the depth and complexity are not fully clear from the descriptions. The single listed experience entry is self-declared and current, making it difficult to assess cultural fit within a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is self-declared as a 'Data Science Learner' with no detailed professional experience or assessment scores for psychometric evaluation.