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Software Engineer with less than a year in Machine Learning & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate Computer Science student with strong proficiency in Java and Python programming, and a keen interest in Machine Learning, Deep Learning, and Artificial Intelligence. Skilled in problem-solving and logical thinking, with hands-on experience through academic and personal projects. Eager to contribute and grow in the field of intelligent systems and software development.
Narula Institute of Technology
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Barasat Indira Gandhi Memorial High School
Class XII · Science
June 1, 2020 – May 31, 2022
Barasat Indira Gandhi Memorial High School
Class X
June 1, 2010 – May 31, 2020
Email Spam Detection using Logistic Regression and Naïve Bayes
June 24, 2026 – Present
Built and compared two machine learning models for spam classification using Python, Scikit-learn, and NLTK. Designed a complete NLP pipeline including text preprocessing, TF-IDF and Bag-of-Words vectorization. Achieved over 95% accuracy in spam detection. Deployed trained models using Pickle and developed a command-line spam detection tool. Strengthened skills in model evaluation, text processing, and ML deployment.
Programming in Java
IIT Kharagpur
June 1, 2026 – Present
Programming, Data Structures and Algorithms using Python
CMI
June 1, 2026 – Present
Soft Skill Development
IIT Kharagpur
June 1, 2026 – Present
Joy of Computing using Python
IIT Ropar
June 1, 2026 – Present
Soft Computing Techniques
IIT Kharagpur
June 1, 2026 – Present
Getting Started with Artificial Intelligence
IBM SkillsBuild
June 1, 2026 – Present
SQL (Basic)
HackerRank
June 1, 2026 – Present
Java (Basic)
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in Machine Learning, Deep Learning, and AI, which aligns with a modern tech-driven culture. The academic project and numerous certifications indicate a proactive and continuous learning mindset. The coding streak on GeeksforGeeks suggests dedication and problem-solving enthusiasm. However, the lack of professional experience or diverse project types beyond academic ML limits the assessment of broader cultural fit, such as collaboration in a professional team setting or adaptability to different project methodologies.
Soft Skills & Operational Fit
The candidate lists several soft skills including Leadership, Communication, Team Building, Critical Thinking, Time Management, and Persuasion. While these are valuable, there is no direct evidence or examples in the provided data (resume, projects, tests) to assess their practical application or operational fit in a senior role. The co-curricular activity as a volunteer and event organizer suggests some organizational and teamwork skills.