Arvind Narayanan
Data ScientistJust another curious programmer.
IIIT Hyderabad
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Just another curious programmer.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIIT Hyderabad
Data Scientist
June 20, 2026 – Present
booking-management-system
April 17, 2024 – April 17, 2024
booking-management-system — GitHub repository
View Projectcode-mixed-NER
December 10, 2021 – December 10, 2021
Experiements on various models using codemixed data
View ProjectIIIT-H-Fantastic-Form
October 19, 2021 – April 7, 2022
IIIT-H-Fantastic-Form — GitHub repository
View Projectfacenet-implementation
April 28, 2021 – April 29, 2021
Implementation of paper: FaceNet: A Unified Embedding for Face Recognition and Clustering
View Projectm9-Torrent
October 28, 2020 – November 8, 2020
Torrent protocol and client for your mates
View Projectportfolio
October 11, 2020 – October 11, 2020
Portfolio website built using pure HTML, CSS and vanilla JS
View ProjectIce-cream-mining
February 21, 2018 – April 3, 2018
A project undertaken to apply various data mining principles and techniques on an ice cream dataset, collected as a survey.
View ProjectIndieverse
February 5, 2018 – October 17, 2020
Music streaming and deployment service catered towards upcoming music artists
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of interests, from data mining to web development and network routing. While this indicates versatility, the direct alignment with a senior Data Scientist role is moderate. The current 'Data Scientist' role at IIIT Hyderabad is listed as current with a future start date (2026), making it difficult to assess actual professional experience in the field. The breadth of technologies suggests an exploratory mindset, which can be positive for cultural fit in an innovative environment, but also indicates a lack of deep specialization in core data science areas.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.