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Hello, I am a student at Charotar University in Gujarat India. I am currently pursuing B_Tech Degree in Computer Engineering
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Assessing your cultural and operational fit
Charusat
Data Scientist
June 16, 2026 – Present
emotion_recognition_iemocap
September 1, 2023 – September 1, 2023
emotion_recognition_iemocap — GitHub repository
View ProjectCPU-Scheduling-APP-React-Native
August 1, 2023 – October 28, 2023
CPU-Scheduling-APP-React-Native — GitHub repository
View ProjectContext-Based-Emotion-Recognition
March 11, 2023 – March 11, 2023
Context-Based-Emotion-Recognition — GitHub repository
View ProjectJSW_Internship
June 15, 2022 – June 15, 2022
Property Prediction model using regression algorithms , this project is the part of my summer internship at JSW steel 2021 We were provided with raw data of 5135 rows and 45 columns which had to be cleaned first and later applied 5 different algorithms like KNN, Random Forest, ANN, Support Vector Regressor and Multiple Regressor to predict which gave the highest R2_score value and the least RMSE. Conclusion :- Random Forest was found to be relatively the best learner for this model and hence we deployed our machine learning model using html, css, flask.
View ProjectCultural Fit Analysis
The candidate's projects show an interest in various domains, including machine learning (emotion recognition, property prediction) and web development (portfolio, CPU scheduling app). This diversity suggests adaptability. The target role is 'Data Scientist', which aligns well with the primary project 'JSW_Internship' and 'Context-Based-Emotion-Recognition'. However, the breadth of skills outside core data science (e.g., JavaScript, HTML, CSS, React Native) might indicate a broader interest rather than deep specialization in data science alone, which could be a fit for roles requiring cross-functional skills but might dilute focus for a pure data science role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.