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Data Analyst with less than a year in Mathematics and expertise in Python & SQL.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytical MSc Mathematics graduate with technical expertise in Python, SQL, and Advanced Excel. Specialized in translating complex data into actionable insights through statistical modelling and visualization. Proven ability to handle large datasets (Pandas/NumPy) and build automated reporting solutions.
Anna Adarsh College for Women, University of Madras
Master of Science · Mathematics
August 1, 2023 – June 30, 2025
Women's Christian College, University of Madras
Bachelor of Science · Mathematics
August 1, 2020 – June 30, 2023
Python - Based Implementation and Analysis of Chaotic Cryptographic Algorithms for Enhancing Security in Text Encryption
June 20, 2026 – Present
Engineered a secure data-encryption system using Chaotic Maps (Logistic/Lorenz) in Python, utilizing Pandas and NumPy to manage complex matrix transformations and ensure 99%+ data integrity. Executed Statistical Validation and performance benchmarking to evaluate algorithm resistance to cryptanalysis, optimizing for both computational speed and cryptographic security.
Python Script (Data Processing)
June 20, 2026 – Present
Engineered a Python-based data processing script to automate the extraction and cleansing of student performance data from large-scale CSV datasets.
Excel Dashboard (Sales Analysis)
June 20, 2026 – Present
Analysed a 5,000+ row sales dataset to identify seasonal trends and KPIs; developed an interactive dashboard using Pivot Tables that reduced reporting time by 50%.
Microsoft Excel
GUVI
January 1, 2025 – Present
The Data Science Course: Complete Data Science Bootcamp
Unknown
January 1, 2025 – Present
SQL for Data Science
Great Learning
January 1, 2025 – Present
Python IBM
SLA
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in Mathematics, coupled with self-driven certifications in Data Science, Python, and SQL, indicates a strong inclination towards analytical roles. The projects, though academic, align well with the responsibilities of a Data Analyst, showcasing a foundational understanding of data processing, analysis, and visualization. The breadth of skills (Python, SQL, Excel) suggests adaptability and a willingness to learn diverse tools. However, the lack of professional experience means cultural fit related to workplace dynamics and collaboration is largely unassessed.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on complex analytical tasks and optimize processes (e.g., reducing reporting time by 50%). The academic projects demonstrate problem-solving skills and attention to data integrity. However, without specific behavioral or psychometric test results, it's difficult to assess stress handling, teamwork, or communication clarity in a professional setting.