Keshavee Bisen

IEEE Student Branch IIITNR

Raipur, Chhattisgarh, India

Since January 27, 2026

Skills

PythonPower BIMysqlLeadershipDecision MakingCSSData PreprocessingData Visualization DesignersHTML5

Experience

Bluestock

SDE Intern

December 1, 2024 – February 1, 2025

IEEE Student Branch IIITNR

Vice Chair

December 1, 2024 – Present

IEEE MP Section

Content Writer

April 1, 2024 – April 1, 2025

Key Strengths

Strong foundational skills in Python for data analysis and machine learning, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.
Demonstrated experience with SQL (MySQL) and understanding of database management systems concepts.
Practical project experience applying machine learning models (YOLOv8, Logistic Regression, Random Forest, XGBoost) to real-world problems like fraud detection and fire detection.
Proficiency in data analysis techniques, including EDA, feature engineering, and statistical analysis.
Relevant academic coursework in Data Structures and Algorithms, Machine Learning, and Database Management Systems directly aligns with the target role.
Leadership and communication skills developed through roles like IEEE Student Branch Vice Chair and Content Writer.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's involvement as Vice Chair of an IEEE Student Branch, organizing workshops and hackathons, indicates strong leadership potential, initiative, and a collaborative spirit. This demonstrates a willingness to engage with the technical community and contribute to a positive team culture. The content writing experience further highlights communication and attention to detail. The psychometric test score is 0, but no completed tests were provided, thus formal assessment data for cultural fit is insufficient beyond resume activities.

Soft Skills & Operational Fit

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Strong foundational skills in Python for data analysis and machine learning, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.
Demonstrated experience with SQL (MySQL) and understanding of database management systems concepts.
Practical project experience applying machine learning models (YOLOv8, Logistic Regression, Random Forest, XGBoost) to real-world problems like fraud detection and fire detection.
Proficiency in data analysis techniques, including EDA, feature engineering, and statistical analysis.
Relevant academic coursework in Data Structures and Algorithms, Machine Learning, and Database Management Systems directly aligns with the target role.
Leadership and communication skills developed through roles like IEEE Student Branch Vice Chair and Content Writer.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit