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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Weather_application
April 2, 2024 – April 2, 2024
Weather_application — GitHub repository
View ProjectImage_Caption_Generator
March 24, 2024 – March 24, 2024
Image Caption Generator using CNN and LSTM
View ProjectComplete_ML_and_DS
March 10, 2024 – March 17, 2024
Complete Machine Learning and Data Science: Zero to Mastery
View ProjectComplementary_Fashion_Recommendation_System
March 7, 2024 – Present
Comprehensive recommendation system that recommends both similar and complementary products using the power of deep learning and visual embeddings
View ProjectOrderEaseBot
December 6, 2023 – December 7, 2023
Food ordering chatbot using Dialogflow, FastAPI backend, MySQL database, and a responsive frontend. Allows users to place new orders and track existing ones.
View ProjectAbstractive_text_summerization
October 24, 2023 – January 23, 2024
Abstractive Text Summarization with T5, assessed using the ROUGE metrics 🌟📊
View ProjectAI-Rep-Counter
July 16, 2023 – September 26, 2023
This application uses MediaPipe to detect a person’s pose, and afterwards analyses the geometry of the pose in real-time video and counts the repetitions of the particular exercise
View ProjectResponsive-Blog-Website
June 18, 2023 – September 15, 2024
Aesthetic Responsive Blog site project is developed using MYSQL, PHP, HTML, CSS, JS.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, particularly in Machine Learning and Data Science, which aligns with the target role. However, the diversity of projects also includes web development (PHP, HTML, CSS, JS), suggesting a broad but potentially unfocused skill set for a specialized Data Scientist role. The lack of team projects or professional experience makes it difficult to assess cultural fit beyond technical interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.