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Assessing your cultural and operational fit
deeplearning
June 1, 2023 – June 1, 2023
Driver Drowsiness Detection using tensor flow and OpenCV
View Projectsentiment_analysis
September 20, 2022 – September 20, 2022
sentiment_analysis — GitHub repository
View ProjectML-AI-Projects
September 20, 2022 – September 20, 2022
ML-AI-Projects — GitHub repository
View ProjectInternship_task_5_samplesuperstore
September 23, 2020 – September 23, 2020
Created an exploratory python file to see the sales and the region of sales
View ProjectInternship_task_4_iris_decion_tree
September 19, 2020 – September 19, 2020
Developed an Machine Learning model on IRIS dataset to predict Iris_Setosa, Iris_Versicolor, Iris_Virginica by usung Decision Tree Algorithm also deployed the model using flask.
View ProjectInternsip_task_3_iris_clustering_ml
September 14, 2020 – September 14, 2020
Done K-Means Clustering on iris Data set and found the optimum value of K with elbow plot
View ProjectInternship_Task_2_score_predictor
September 12, 2020 – September 12, 2020
Performed Linear Regression on the data containing No. of Hours and Scores of student. Also Deployed the Model on Flask so user can give input and predict the scores. All the steps given in the Video.
View Projectimage_recognition
August 29, 2020 – August 29, 2020
image_recognition — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a foundational interest in Data Science. The diversity of projects (image recognition, sentiment analysis, predictive modeling) suggests a broad curiosity within the ML/AI domain. However, without information on team-based projects or professional experience, it is difficult to fully assess cultural fit for a senior role. The projects align with the target role of Data Scientist, but the depth and complexity required for a senior position are not explicitly demonstrated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.