
Quantitative Software Engineer @ Goldman Sachs | MSCS UTD '22 | CS IIIT Kalyani '20
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
goldmansachs
Data Scientist
June 23, 2026 – Present
CharacterLLMs
March 16, 2023 – June 19, 2023
Character Level Large Language Models including Transformer based nano GPT for text generation!
View ProjectBrain-Segmentation-and-Tumor-Detection
March 7, 2019 – August 15, 2020
Modified VGG16 and UNetCNN based 4D Image Segmentation (Finalist - Smart India Hackathon 2019)
View ProjectRGBD-Object-Detection
January 20, 2019 – December 8, 2020
3D Object Detection (iHack IIT Bombay) - Deep Learning based real-Time solution using YOLO and Fast RCNN
View ProjectHello-World
October 2, 2018 – March 2, 2024
Hello World in all possible programmnig languages
View ProjectProgramming-Quotes
October 2, 2018 – September 30, 2019
Repository containing various programming quotes
View ProjectSmall-Deep-Learning-Projects
August 3, 2018 – October 1, 2021
Small projects with Deep Learning magic! - Predicting Customer Churn in Banking, Predict tags on Stack Overflow, Sign Language Recognition
View ProjectiiitkalyaniWebsite
December 2, 2017 – March 2, 2019
IIIT kalyani website build by IIIT Kalyani web team
View ProjectAutomatic-Attendance-System
October 23, 2017 – May 20, 2023
End-to-end Face Recognition Video Attendance! - OpenCV face extraction, detection & recognition, PyQt4 GUI and SQLite reports
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML. The diversity of projects, from web development to deep learning, indicates a broad interest, which could be a good fit for an innovative culture. However, the lack of team-based or open-source contributions (beyond hackathons) in the provided data limits the assessment of collaborative cultural fit. The target role of 'Data Scientist' aligns well with the candidate's project focus on machine learning and deep learning.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, as all listed projects are personal. The participation in hackathons implies an ability to work under pressure and collaborate. However, without specific psychometric test results or interview data, a detailed assessment of soft skills and operational fit is limited.