Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Data Analysis & Visualization.
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 entry-level Analyst with hands-on experience in Excel, SQL, Power BI, Tableau, and Python through projects, internships, and training programs. Strong interest in data cleaning, visualization, trend analysis, and dashboard development.
Anna University
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
University of Madras
B.Sc Computer Science · Computer Science
August 1, 2020 – June 30, 2023
Sysslan IT Solutions
Data Analyst Intern (Remote)
February 12, 2026 – March 12, 2026
India
Netflix Data Analysis
June 21, 2026 – Present
Analyzed Netflix dataset to identify genre distribution, release year trends, and country-wise content using dashboards.
Data Analytics
Deloitte Australia (Forage)
January 1, 2025 – Present
Data Analytics Masterclass
Novi Tech, Coimbatore (Webinar)
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic background and pursuit of certifications and an internship align with a learning-oriented and growth-focused culture. The project diversity is limited to one academic project, and the internship is short-term. While the skills listed are relevant to a Data Analyst role, the depth of experience is entry-level, which might require significant mentorship in a senior-level environment. The use of AI tools like Google Gemini and ChatGPT suggests an openness to leveraging modern technologies.
Soft Skills & Operational Fit
The candidate's profile suggests a proactive learning attitude, evidenced by pursuing certifications and an internship while still in education. The remote internship indicates some level of self-discipline and ability to work independently. However, specific soft skills like problem-solving, critical thinking, or teamwork are not explicitly detailed or demonstrated in the provided data.