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ML enthusiastic || Deep Learning || Artificial Intelligence || Web developer || Front end || MERN stack
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Assessing your cultural and operational fit
Student
Data Scientist
June 20, 2026 – Present
recommendation_system
October 19, 2020 – October 20, 2020
Building a similarity based recommendation system
View ProjectML_visualizer
August 19, 2020 – September 18, 2020
Machine learning model Visualizer in web using streamlit
View ProjectDeploy_NN_model
August 13, 2020 – August 13, 2020
Deploy a pre trained(tf) model using TensorFlow serving and Flask
View ProjectRadio_signal_classification
August 9, 2020 – August 10, 2020
Classifying Radio signal coming from space
View ProjectAntivirus
July 7, 2020 – September 20, 2020
A basic malware detector using Machine Learning
View ProjectCoursera_Helper_chatbot
July 1, 2020 – July 28, 2021
A chatbot to help coursera student with their difficulty.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science and machine learning. The diversity of projects (malware detection, radio signal classification, chatbots, recommendation systems) indicates curiosity and a willingness to tackle different problem domains. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit within an organizational setting. The target role is Data Scientist, which aligns well with the project themes.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and they are currently a 'Student' with a 'Data Scientist' role starting in 2026, which suggests a very early career stage. No psychometric or English test scores are available.