Data Science with 1+ years in AI/ML & Salesforce
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To contribute to innovative IT projects by utilizing my technical expertise and problem-solving abilities. I aim to excel in roles that require adaptability across various domains of information technology, while driving efficiency, scalability, and security in organizational systems.
Rise Krishna Sai Gandhi Group of Institutions
Bachelor's Degree · Data Science
August 1, 2020 – May 1, 2024
Narayana Junior College
Higher Secondary Education
June 1, 2018 – March 1, 2020
Sri Siva Sai High School
Secondary Education
April 1, 2017 – April 1, 2018
Salesforce Developer Virtual Internship - SmartInternz
Intern
October 1, 2022 – December 1, 2022
India
AI-ML Virtual Internship - AWS Academy
Intern
September 1, 2022 – November 1, 2022
India
Classification of Online Toxic Comments Using Machine Learning Algorithms
October 1, 2023 – April 1, 2024
Developed a machine learning model to classify online comments as toxic or non-toxic. Preprocessed the dataset using Term Frequency-Inverse Document Frequency (TF-IDF). Used Random Forest Classifier for training and achieved high accuracy (F1 Score ~0.91). Evaluated model performance using confusion matrix and F1 score. Explored advanced models like LSTM and BERT for better contextual understanding. Achieved high accuracy with Random Forest (F1 Score ~0.91). Demonstrated the effectiveness of deep learning models in capturing nuanced toxicity.
Cultural Fit Analysis
The candidate's academic background in Data Science and participation in AI/ML internships align with a data-driven culture. The project diversity is limited to one academic project, and the internships are virtual, which provides limited insight into collaborative work environments. The target role is Data Science, which aligns with the candidate's education and project, but the experience level (1) suggests a junior role, not a senior one.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, self-motivation, critical thinking, and time management as soft skills. While these are valuable, there is no evidence in the provided data to assess their operational fit or the practical application of these skills in a professional setting.