Aspiring Computer Science graduate with a strong foundation in programming, machine learning, and deep learning. Possessing a collaborative mindset and a passion for problem-solving, I am eager to apply technical skills and analytical abilities to contribute to innovative projects. Committed to continuous learning and professional growth within a dynamic technology environment.
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Bachelor of Technology
Computer Science
Grade: 7.6 CGPA
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Intermediate Education
Intermediate Education
Grade: 92%
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SSC
Secondary School Certificate (SSC)
Grade: 9.5 CGPA
Issued By
NPTEL
Issued By
NPTEL
Issued By
Coursera
Java, SQL, HTML, CSS, Python.
Anomaly Detection, Multi-Layer Perceptron (MLP), Data Preprocessing, Predictive Modeling.
Data Interpretation, Pattern Recognition, Statistical Analysis.
Teamwork, Communication Skills, Adaptability, Problem Solving, Innovation.
Playing cricket.
Watching movies.
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Summary
Developed a predictive model using a Multi-Layer Perceptron (MLP) Classifier to forecast forest fires. The model leveraged preprocessed data including weather conditions, terrain, vegetation, and historical fire data, incorporating key features like FFMC, DMC, DC, ISI, temperature, humidity, wind speed, and rainfall.
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Summary
This project involved evaluating and comparing various machine learning and deep learning methods to identify unusual patterns in data, focusing on detecting deviations from normal behavior that could indicate fraud, cyber threats, system failures, or other irregularities.