Help & Supportcareers@gravityer.com
Data Analyst with less than a year 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
MSc Data Science student with hands-on experience in SQL, Python, Power BI, and Tableau across 3 analytics projects and a healthcare internship. Uncovered a 15% marketing engagement lift through customer segmentation and identified an 80%+ admission probability threshold using MySQL and Python. Completed a Data Analytics internship analysing 100,000+ medical records. Skilled in Exploratory Data Analysis (EDA), KPI reporting, dashboard development, data modelling, and stakeholder reporting. NPTEL certified. Available immediately. Open to relocation.
Fatima College
M.Sc. Data Science
August 1, 2024 – June 30, 2026
Mangayarkarasi College of Arts and Science for Women
B.Sc. Computer Science · Computer Science
August 1, 2021 – June 30, 2024
Astro Web Solutions
Data Analyst Intern
May 1, 2025 – June 1, 2025
Madurai, Tamil Nadu, India
Customer Behaviour Analysis
June 1, 2026 – Present
Preprocessed 3,900+ customer shopping records using Python and SQL (MySQL); applied data segmentation techniques to surface customer spending patterns, purchasing behaviour, and product performance trends. Optimised SQL queries for subscription analysis, isolating business indicators that directly contributed to a 15% increase in average customer lifetime value. Built filterable Power BI dashboard development reports to monitor sales performance and campaign effectiveness, revealing discounted purchases drove over 40% of top-product sales.
Healthcare Patient Records Dashboard
June 1, 2026 – Present
Transformed 55,000+ healthcare patient records using Power BI and statistical profiling to pinpoint treatment cost patterns and patient demographics. Standardised hospital data and removed 534 duplicate records across 54,966 entries through systematic data governance and data modelling, improving reporting accuracy. Engineered dynamic Power BI dashboards with DAX measures for Average Cost (25.5K) and Average Length of Stay (15.5 days) to support healthcare KPI analysis and operational insights.
College Admission Analytics
June 1, 2026 – Present
Analysed 400 graduate student profiles using Python (Pandas, Seaborn) and MySQL - performed data wrangling and CASE WHEN data segmentation, identifying 45% of applicants as Strong with CGPA above 8.5 and GRE above 320 as the 80%+ admission threshold. Executed advanced SQL queries including window functions and GROUP BY aggregations across 6 business questions, revealing research experience adds a 12 percentage point admit-rate advantage; university rating correlates linearly from 54.8% to 88.8% admit probability. Delivered an interactive Tableau Public dashboard with University Rating and Research filters – scatter plot and donut chart visualising tier distribution and CGPA vs admission probability; CGPA identified as strongest predictor at 0.87 correlation.
Introduction to Data Analytics
Simplilearn
January 1, 2025 – Present
Business Intelligence With Power BI: From Data to Strategic Decisions
Swayam (NPTEL)
January 1, 2025 – Present
Data Science Using Python
Swayam (NPTEL)
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects cover diverse domains (customer behavior, healthcare, education), indicating a broad interest in applying data analysis across different industries. This diversity, coupled with their academic background and certifications, suggests a proactive and continuous learning mindset, which aligns well with a culture of innovation and growth. The personal projects demonstrate initiative and self-driven learning, which are valuable traits for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills through their project work, identifying patterns and deriving actionable insights. Their ability to communicate findings to stakeholders (as mentioned in the internship) suggests good communication and presentation skills. The project diversity indicates adaptability and a proactive learning attitude, which are positive for operational fit.