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Apple Inc.
Data Scientist
June 19, 2026 – Present
icmi_19_suicidal_intent_detection
August 16, 2019 – January 30, 2021
Repository to maintain code for Multimodal behavior markers for Suicidal intent in Social Media Videos paper to ICMI 2019
View Projectleetcode_company_wise_questions
April 25, 2019 – March 11, 2022
This is a repository containing the list of company wise questions available on leetcode premium
View Projectrobust_mtnt
April 1, 2019 – December 23, 2019
Code for the paper "Improving Robustness of Machine Translation with Synthetic Noise"
View Projectfake_news_semantics
March 22, 2019 – December 30, 2020
Code for the paper "Do Sentence Interactions Matter ? Leveraging Sentence Level Representations for Fake News Classification"
View ProjectRWR-GAE
December 14, 2018 – July 6, 2023
Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"
View ProjectMNER
October 7, 2018 – October 9, 2019
PyTorch code for the paper "Adaptive Co-Attention Network for Named Entity Recognition in Tweets"
View ProjectLAS
April 12, 2018 – July 16, 2018
Listen, Attend and Spell model for end-to-end ASR system
View Projectm-DAN
February 21, 2018 – May 17, 2018
Implement current SOTA model for image text matching task
View ProjectvanGAN
February 19, 2018 – December 8, 2022
GANs for unsupervised bilingual induction task
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, focusing on specific NLP and ML model implementations. While this demonstrates deep technical capability, the lack of diverse project types (e.g., product development, data engineering, business intelligence) and limited information on team collaboration or broader impact makes it difficult to fully assess cultural fit for a typical product-focused Data Scientist role. The current role at Apple Inc. is a positive indicator, but without details, it's hard to gauge alignment with a specific company culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project work without details on collaboration, problem-solving approaches, or communication styles.