
IITian | Learning deep learning
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Assessing your cultural and operational fit
IIT Tirupati
Data Scientist
June 18, 2026 – Present
yolo-v1-to-yolo-v11-classification
January 9, 2025 – January 23, 2025
Yolov1 to Yolov11 classification model architectures
View ProjectAI-Video-Generation-stories
December 27, 2024 – January 1, 2025
Text to video Generation for short stories. To be updated!
View ProjectDouble-ViT
August 25, 2024 – January 20, 2025
[ICPR 2024] DoubleViT Pushing transformers towards the end because of convolutions
View ProjectTimeseries-data-tensorflow-using-CNN
July 4, 2024 – July 4, 2024
Train a simple Tensorflow CNN model for timeseries data.
View ProjectSD-SAM-for-Background
December 8, 2023 – December 15, 2023
Using Stable diffusion (SD) model and Segment Anything model from Meta (SAM) for removing the background and add newer background for the image. Created with a Multi model pipeline.
View ProjectSENetV2-Aggregated-dense-layer-for-channelwise-and-global-representations
November 28, 2023 – May 3, 2024
Code for paper SENetV2 Aggregated dense layer for channelwise and global representations
View ProjectCanon-CR2-to-jpeg
January 8, 2018 – January 8, 2018
Conversion of CR2 file format images to .jpeg file formar=t
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on deep learning and computer vision, which aligns well with a Data Scientist role, especially one involving research or advanced model development. However, the lack of diverse project types (e.g., data engineering, traditional machine learning, MLOps, business intelligence) and the absence of team-based projects or contributions to open-source beyond personal repositories suggest a potentially narrow focus. The 'experienceLevel' is 0, and the listed 'Data Scientist' role at IIT Tirupati has a future start date, implying this is a prospective or academic role rather than professional industry experience. This limits the assessment of cultural fit within a typical corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting. The psychometric test score is 0, providing no insight.