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Data Science with less than a year in Machine Learning & Programming
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic Data Science graduate with completed M.Sc. coursework in Data Science with a strong foundation in Machine Learning and Programming. Seeking a full-time role to apply theoretical skills and technical expertise to solve real-world problems and gain hands-on experience.
Gujarat University
Master of Science · Data Science
August 1, 2024 – June 30, 2026
LJ University
Bachelor of Science · Information Technology
August 1, 2021 – June 30, 2024
Divine Life School
HSC
June 1, 2019 – May 31, 2021
Divine Life School
SSC
June 1, 2017 – May 31, 2019
Automated Document Summarization
January 1, 2023 – January 1, 2024
Built an extractive text summarization system using the TextRank algorithm based on Google's PageRank approach. Generated sentence similarity scores and ranked sentences to create concise document summaries. Applied NLP preprocessing techniques using NLTK for text cleaning and sentence tokenization. Used NumPy and Pandas for data manipulation and similarity matrix computations.
Introduction to Relational Databases (RDBMS)
Coursera
June 1, 2026 – Present
Introduction to Object-Oriented Programming with Java
Coursera
June 1, 2026 – Present
Database Design and Basic SQL in PostgreSQL
Coursera
June 1, 2026 – Present
C++ For C Programmers, Part A
Coursera
June 1, 2026 – Present
Introduction to Cybersecurity Essentials
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate is pursuing a Master's in Data Science and has completed an academic project in NLP, which aligns well with a Data Science role. The breadth of listed technical skills (Python, R, SQL, Java, various data tools, databases) and certifications (SQL, Java, C++) indicates a diverse interest in technology. However, the lack of professional experience and diverse project types (only one academic project) limits the assessment of cultural fit beyond academic alignment. The candidate's summary expresses a desire to apply theoretical skills and gain hands-on experience, suggesting an eagerness to learn and contribute.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, teamwork, and critical thinking as soft skills. The project description is clear and concise, indicating good written communication. The academic project and certifications suggest a proactive learning attitude. However, without work experience or behavioral assessment data, it's difficult to fully assess operational fit and how these soft skills translate into a professional environment.