Software Engineer @ Goldman Sachs
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Chaitanya Bharathi Institute of Technology
Data Scientist
June 18, 2026 – Present
Full-Stack-Open-part3
September 3, 2023 – September 18, 2023
Full-Stack-Open-part3 — GitHub repository
View ProjectFull-Stack-Open-Deep-Dive-Into-Modern-Web-Development
August 13, 2023 – February 24, 2024
Full-Stack-Open-Deep-Dive-Into-Modern-Web-Development — GitHub repository
View ProjectKnow-Your-News---A-News-Analysis-Dashboard
April 2, 2023 – April 2, 2023
Know-Your-News---A-News-Analysis-Dashboard — GitHub repository
View ProjectReal-time-Attendance-system-using-ID-card-and-face-recognition
August 24, 2021 – November 13, 2022
Mini Project for semester 5.
View ProjectPython-Unit-Testing---nose-unittest-pytest
December 18, 2020 – January 2, 2021
WTEF Group 1 Python
View ProjectWhiteboard-for-online-teaching
August 19, 2020 – August 25, 2020
A minimalistic whiteboard web app made in Flutter with a built-in animation creator and notes. Easy to use interface makes it perfect for even those who have limited experience using applications.
View ProjectBlack-Jack-GUI-Tkinter
June 24, 2020 – May 18, 2021
It is a mini project I worked on to learn about Object-Oriented Programming and GUI in Python. It is a BlackJack game with a Graphical User Interface made using the built-in Tkinter module of Python. Characterized by a realistic user interface.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a foundational interest in various technical areas including web development, GUI, and data analysis. The current 'Data Scientist' role listed at an institute suggests an academic or research-oriented environment. The diversity of projects (Flutter app, web development, Python games, data analysis) shows a broad interest but also a lack of deep specialization in data science specifically. The alignment with a dedicated industry Data Scientist role is moderate, as most projects are introductory or general programming.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.