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Data Analyst with less than a year in Statistics and Mathematics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Business / Data Analyst with a strong foundation in Statistics and Mathematics and hands-on experience in data cleaning, exploratory data analysis, and visualization using Python, Excel, and Power BI. Currently pursuing M.Sc. in Business Analytics and seeking Analyst / Business Analyst roles; skilled at turning data into actionable insights and clear dashboards.
Poornaprajna College, Udupi
B.Sc · Statistics & Mathematics
August 1, 2021 – June 30, 2024
Manipal Academy of Higher Education
M.Sc · Business Analytics
N/A – Present
Understanding Consumer Behavior in Online Food Delivery
June 21, 2026 – Present
Analyzed customer and order datasets to identify retention and revenue opportunities. Cleaned and merged raw order and customer files using Python (Pandas); standardized missing values and created reusable preprocessing scripts. Reduced manual preprocessing time by ~40%; performed RFM segmentation to identify a 15% high-value cohort responsible for a disproportionate share of orders; delivered an interactive Power BI dashboard tracking order frequency, average basket value, and churn risk that guided three prioritized retention actions.
Students Wellbeing and Academic Performance
March 1, 2024 – Present
Explored relationships between wellbeing indicators and academic outcomes for a student population. Cleaned survey and grade data; ran correlation and regression analyses; visualized key relationships in Tableau. Identified top three predictors of academic decline and produced visualizations used to design a pilot wellbeing intervention.
Programming for Everybody (Python)
Unknown
January 1, 2025 – Present
Introduction to Statistics Using R Programming
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in diverse analytical problems, from consumer behavior to student wellbeing. This breadth suggests adaptability and a willingness to apply analytical skills across different domains. The pursuit of an M.Sc. in Business Analytics while also having a B.Sc. in Statistics & Mathematics indicates a strong drive for continuous learning and specialization, which aligns well with a growth-oriented culture. The listed soft skills also point towards a collaborative and problem-solving mindset.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, team collaboration, strong analytical skills, critical thinking, and attention to detail as soft skills. These are highly relevant for a Data Analyst role, indicating a good operational fit for collaborative and analytical environments. However, without direct assessment, the depth of these skills cannot be fully validated.