Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst seeking an opportunity to leverage my knowledge of Python, SQL, Power BI, and Data Analytics to support data-driven decision-making and contribute to business success while gaining practical industry experience.
Shree Vailankanni English School
SSC
N/A – May 31, 2021
Jana Gana Mana College
HSC
N/A – May 31, 2023
B.K Birla College
Bachelors of Science · Computer Science
N/A – June 30, 2026
Smartphone Usage and Addiction Analysis
June 20, 2026 – Present
Generated insights on addiction, stress levels, and behavioral trends.
Titanic Survival Analysis
June 20, 2026 – Present
Conducted exploratory data analysis on passenger survival data. Identified key factors influencing survival rates.
Nike Sales Dashboard
June 20, 2026 – Present
Built an interactive business intelligence dashboard. Created KPIs and visual reports for business decision-making.
E-Commerce Order Trends Database Management System
June 20, 2026 – Present
Wrote SQL queries for data retrieval, filtering, aggregation, and business analysis.
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a genuine interest in data analysis. The diversity of projects (survival analysis, smartphone usage, sales dashboard, e-commerce database) indicates a broad curiosity and willingness to explore different data domains. The academic background in Computer Science further supports a logical and analytical mindset. However, as a fresher with no professional experience, the cultural fit within a team or corporate environment is yet to be proven.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, team collaboration, adaptability, and time management as soft skills. These are relevant for a data analyst role, indicating a foundational understanding of professional work requirements. However, without practical experience or assessment data, the depth of these skills cannot be fully validated.