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Data Science with less than a year in machine learning and big data.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented Mathematics student with a strong analytical foundation and problem-solving skills. Possesses a solid understanding of mathematical concepts and a keen interest in applying logical reasoning to real-world challenges. Eager to learn, adapt, and contribute effectively in a professional environment.
Sri Krishna Arts and Science College Coimbatore
M.Sc · Mathematics with Big Data
August 1, 2024 – June 30, 2026
PSGR Krishnammal College for Women Coimbatore
B.Sc · Mathematics
August 1, 2021 – June 30, 2024
SRV Girls Higher Secondary School Rasipuram
12th (Senior Secondary Examination) · State Board
June 1, 2021 – May 31, 2021
Graph-Induced Open Neighbourhood Topologies and their Separation Properties
January 1, 2026 – January 1, 2026
Studied graph-induced topological spaces using open neighbourhood in graphs and analyzed separation axioms To, T1,and T2. Constructed subbasis, basis, and topology from graph structures, and examined their properties using finite graph examples and real-life communication network models. Explored the relationship between graph theory and topology in discrete mathematical structures.
Identifying Key Risk Factor and Predicting Diabetes from Clinical Data
January 1, 2025 – January 1, 2025
Used machine learning algorithms such as Logistic Regression, Random Forest, and SVM to classify diabetic and non-diabetic individuals. Performed data preprocessing, statistical analysis, and model evaluation using metrics like accuracy, precision, recall, F1-score, and ROC-AUC.
Data Science, Cybersecurity
Coursera
June 1, 2026 – Present
Soft Skill and Development
NPTEL
June 1, 2026 – Present
SPSS A Statistical tool for Research
JOC
June 1, 2026 – Present
Paper Presentation
Interdepartmental Symposium, PSGR Krishnammal college for women
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong analytical and research-oriented mindset, which aligns well with data science roles. The 'Graph-Induced Open Neighbourhood Topologies' project shows an ability to explore complex theoretical concepts. The 'Identifying Key Risk Factor and Predicting Diabetes' project indicates an interest in applying data science to real-world problems. The academic background in Mathematics with Big Data is a good fit for a Data Science target role. However, the lack of professional experience and limited project diversity beyond academic settings might require additional mentorship for integration into a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate's resume highlights an 'eager to learn, adapt, and contribute effectively' attitude. The NPTEL 'Soft Skill and Development' certification suggests an awareness of the importance of soft skills. However, without specific psychometric test results or interview data, it is difficult to fully assess operational fit, stress handling, or team collaboration capabilities.