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Data Science with less than a year in machine learning and AI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Science Engineering student specializing in Data Science. Skilled in C++, Python and C. Hands-on experience in machine learning and automation projects. Certified in Artificial Intelligence and eager to apply for Software Engineering and Data Science techniques in real-world Challenges.
Presidency University
Computer Science and Engineering (Data Science) · Data Science
August 1, 2022 – June 1, 2026
Shree Guru Vidya Peetha Pu College
CLASS XII
June 1, 2019 – March 1, 2021
Excellent English Medium Primary and High School
CLASS X
June 1, 2017 – April 1, 2019
Heart Disease Prediction System
June 20, 2026 – Present
• Built a machine learning model to predict heart disease risk using health datasets. • Conducted EDA, feature engineering, and model optimization using cross-validation. • Improved interpretability with result visualizations and evaluation metrics. • Implemented ML algorithms to assess heart disease likelihood.
Fake News Detection System
June 20, 2026 – Present
• Built a machine learning model to classify news articles as real or fake using datasets. • Performed text preprocessing and feature extraction using TF-IDF to convert unstructured news text into numerical vectors. • Implemented the Multinomial Naive Bayes algorithm for efficient and accurate text classification. • Evaluated model performance using accuracy score, confusion matrix, precision, recall, and F1-score.
Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Xml
Infosys Springboard
June 1, 2026 – Present
Python Programming
HackerRank
June 1, 2026 – Present
C++
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are focused on data science applications, which aligns with the target role. The diversity of projects (heart disease prediction, fake news detection) shows an interest in applying ML to different domains. However, the lack of professional experience or involvement in community/open-source projects limits the assessment of cultural fit beyond technical alignment. The certifications in AI, Python, and C++ indicate a proactive learning attitude.
Soft Skills & Operational Fit
The candidate lists problem-solving, quick learning, adaptability, and team collaboration as soft skills. However, there is no practical experience or assessment data to validate these claims in an operational context. The projects are personal and do not demonstrate team collaboration or handling real-world operational challenges.