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IIIT Delhi
Data Scientist
June 12, 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 Projectmap_rizzuse-DSCD
April 6, 2023 – April 30, 2023
A repository for a _real_ project (Map - reduce)
View ProjectConsistency_DSCD
March 22, 2023 – March 31, 2023
Implementing primary-backup protocols and quorum based ones.
View ProjectRPCs_DSCD
February 8, 2023 – February 19, 2023
Implementing RPCs/comm. using grpc/zeromq/rabbitmq
View ProjectGSOCDemo
April 17, 2022 – April 17, 2022
Repository for the test results of VedicDateTime (Part A)
View ProjectMeasles-Prevalence-Analysis
April 7, 2022 – July 18, 2022
A repository for containing files pertaining to the final project for the Econometrics course offered at IIIT Delhi in the Winter 2022 Semester.
View ProjectASM-Assembler-Simulator
August 13, 2021 – January 1, 2022
Python script written to interpret and simulate asm code. Done as the final project of course Computer Organisation(CSE112)
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal exploration and learning across various technical domains, which could indicate a proactive and curious mindset. However, the projects are predominantly personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit. The experience level is listed as 0, and the single listed 'Data Scientist' role at IIIT Delhi has a future start date, suggesting this is a very early-career candidate. The breadth of technologies used (Python, R, Kotlin, C++, Shell, Dockerfile, Makefile) indicates a willingness to learn and adapt, which is a positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief and do not offer insights into collaboration, problem-solving approaches, or communication styles.