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Data Science with 2+ years in analytical problem-solving and Python 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
Self-motivated M.Sc. Mathematics graduate with strong analytical and problem-solving skills. Skilled in using Python for mathematical computation and basic data analysis. Familiar with Excel and SQL fundamentals. Eager to begin a career as a Data Analyst and contribute to data-driven decision making.
Sri GVG Visalakshi College for Women
Master of Science · Mathematics
August 1, 2024 – June 30, 2026
Sri GVG Visalakshi College for Women
Bachelor of Science · Mathematics
August 1, 2021 – June 30, 2024
Bannari Amman Institute of Technology
Mathematics Domain Internship
November 1, 2023 – Present
Sathyamangalam, Tamil Nadu, India
The Mathematical Beauty of the Fibonacci Sequence
January 1, 2023 – December 31, 2023
Explored the Fibonacci sequence and its applications in nature, algorithms, and mathematical modeling. Demonstrated biological occurrences such as flower petals, pinecones, and the golden ratio. Implemented Fibonacci computation using Python with iterative and recursive approaches. Developed research, documentation, and presentation skills.
Cultural Fit Analysis
The candidate's academic background in Mathematics and a single academic project on the Fibonacci sequence indicate a strong theoretical foundation. The internship provided exposure to mathematical modeling and research collaboration. While the target role is Data Science, the current experience leans heavily towards academic mathematics rather than practical data science applications. The breadth of skills is limited to foundational mathematical concepts and basic data tools. This suggests a potential cultural fit for research-oriented or highly analytical environments, but a gap in practical, industry-focused data science experience.
Soft Skills & Operational Fit
The candidate's profile summary highlights self-motivation and eagerness to contribute to data-driven decision-making. Project and internship descriptions indicate collaboration in team-based activities and development of research, documentation, and presentation skills. These suggest a foundational fit for operational roles requiring teamwork and structured problem-solving, though practical application in a professional data science context is limited.