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Tricog
Data Scientist
June 19, 2026 – Present
tf_padim
December 9, 2021 – December 24, 2021
unofficial implementation of PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
View Projectunofficial_anomaly_segmentation_brain_mri
October 19, 2021 – November 25, 2021
Unofficial tensorflow implementation for research paper Scale-Space Autoencoders for Unsupervised Anomaly Segmentation in Brain MRI
View Projectdetr_keras
September 8, 2021 – February 23, 2022
Tensorflow/keras implementation of End-to-End Object Detection with Transformers(DETR) research paper
View Projecttf_multiattentionhead
May 2, 2021 – October 16, 2021
tf_multiattentionhead — GitHub repository
View ProjectYolo_keras_scratch
June 20, 2019 – June 21, 2019
Implementing tiny yolo from scratch using keras
View ProjectPeople-counter-and-nullifier
June 5, 2019 – June 5, 2019
Counts customers and ignores employees or guards
View ProjectDress-pattern-classifier-and-similarity-detection
April 27, 2019 – April 27, 2019
classifies dress according to their patterns and also shows similar kind of dresses for 1 dress
View ProjectSmart-keyboard
March 30, 2019 – March 30, 2019
A smart keyboard that predicts next word and also spell checks based on user's conversation history
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, research-oriented deep learning implementations, primarily in computer vision and some NLP. While this shows strong initiative and technical depth in specific areas, the lack of diverse project types (e.g., data engineering, MLOps, business intelligence, A/B testing, traditional machine learning) and the absence of team-based projects make it difficult to assess broader cultural fit for a typical Data Scientist role that often requires cross-functional collaboration and a wider range of skills. The single current professional experience as a Data Scientist at Tricog is noted, but without details, it's hard to gauge its impact on cultural fit.
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 communication clarity, teamwork, or problem-solving approaches in a collaborative setting.