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energy-consumption-forecasting
January 16, 2024 – November 22, 2025
A MLOps project on Denmark's Energy Consumption Forecasting.
View Projectretail-vision-analytics
June 28, 2023 – January 9, 2024
A project on end-to-end retail vision analytics application.
View Projectfood-geek-food-image-segmentation
May 15, 2023 – July 2, 2025
This repo contains all the code for food image segmentation - Food Geek App.
Object_Detection_Satellite_Imagery_Yolov8_DIOR
April 23, 2023 – September 5, 2023
Building a Yolov8n model from scratch and performing object detection in optical remote sensing images and videos.
View ProjectHMDB51_human_motion_recognition_pytorch
April 10, 2023 – April 12, 2023
A project on video classification using PyTorch 2
View ProjectUCF50_human_activity_recognition_tensorflow
March 22, 2023 – April 16, 2023
A project on video classification using Tensorflow with UCF50 dataset.
View ProjectSupply-Chain-Stock-Predictive-Analytics
March 1, 2023 – March 7, 2023
Supply-Chain-Stock-Predictive-Analytics — GitHub repository
View ProjectModeling-Earthquake-Damage
February 17, 2023 – February 26, 2023
Modeling-Earthquake-Damage — GitHub repository
View Projecti_am_something_of_a_painter_myself_pytorch
January 28, 2023 – January 28, 2023
A computer vision project using the GANs technique to generate images out of painting.
View Projectcinema_face_actors_pytorch
January 28, 2023 – January 28, 2023
A unsupervised CV project using the technique called Generative Adversarial Network.
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on computer vision and deep learning. While this demonstrates strong technical interest, the lack of team-based projects, diverse domain applications, or explicit collaboration tools makes it difficult to assess cultural fit for a collaborative data science role. The target role 'Data Scientist' is broad, and the candidate's focus is very specific to CV/DL. The absence of experience or education details further limits this assessment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, indicating a focus on technical output.