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ARAPL-Raas
Data Scientist
June 19, 2026 – Present
Speaker-Diarization-and-Transcription-Toolkit
April 23, 2024 – July 5, 2024
Speaker Diarization and Transcription Toolkit is a Streamlit-based application that enables users to perform speaker diarization, divide audio and video into different speaker segments, listen to individual speakers, and generate speaker transcriptions using the Pyannote.audio and Whisper models.
View ProjectDetectNet-Web
February 27, 2024 – March 5, 2024
This is a simple object detection app which uses tensorflow.js and coco-ssd model to detect objects in real time. It uses your webcam to capture the video and then perform detection on it. It can detect multiple objects at a time and draw a bounding box around them.
View ProjectHateful-Meme-Detection-
November 6, 2023 – November 6, 2023
Developed and implemented image-only, text-only, and multimodal (visual and language) models for hateful meme detection.
View ProjectMachine-Learning-IIITD-course-Assignment
July 8, 2023 – July 8, 2023
Machine-Learning-IIITD-course-Assignment — GitHub repository
View ProjectOnline-Retail-Store
July 8, 2023 – July 8, 2023
Tech Stack: Python, MySQl Designed Database Management System for an e-commerce clone of the Amazon website. Python for the development of the backend. Implemented features user authentication, cart management, order management etc.
View ProjectANPR-Model-For-Liense-plate-Detection
January 19, 2023 – November 11, 2023
Use of vehicles is getting increased in today’s era that is why traffic control is being tough. It is hard to store and maintain the record of vehicles manually. Automatic Number Plate Recognition System can be used for better control of vehicles and for store and maintain the record of vehicles automatically.
View ProjectSem_5
December 28, 2022 – December 28, 2022
Courses Ml, Digital Image Processing ,Computer Networks
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on machine learning and data science applications, which aligns well with a Data Scientist role. The diversity of projects (NLP, computer vision, web integration) suggests a broad interest in the field. However, the lack of team-based projects or detailed descriptions makes it difficult to assess collaboration or broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results to evaluate communication or work attitude.