Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL, Python, Excel, and Tableau.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with a strong foundation in SQL, Python, Excel, and Tableau. Skilled in cleaning, analyzing, and visualizing data to generate insights and support data-driven decision-making. Interested in collaborating on meaningful analytical work in fast-paced environments.
PES College Of Engineering, Mandya
B.E · Electronics and Communication Engineering
August 1, 2021 – June 30, 2025
Dataview Analytics
Data Analyst Intern
September 1, 2025 – November 1, 2025
India
Customer behaviour Analysis
January 1, 2026 – January 1, 2026
Studied customer datasets to understand purchasing patterns and frequency of transactions. Performed data preparation and transformation using Excel functions and formulas. Applied basic statistical analysis (average, percentage, trend analysis) to evaluate customer behavior. Used SQL to group and analyze customer data based on demographics and purchase history. Summarized findings to identify high-value customers and improvement opportunities.
Sales Data Analysis and Dashboard
December 1, 2025 – December 1, 2025
Analyzed structured sales data to identify trends in revenue, product performance, and customer behaviour. Cleaned and prepared raw datasets by handling missing values and formatting inconsistencies in Excel. Used SQL queries to filter, aggregate, and extract meaningful insights from sales data. Designed interactive Tableau dashboards to visualize monthly sales trends and top-performing products.
Data Analytics Essentials
Cisco Networking Academy
January 1, 2026 – Present
Google Data Analytics Certificate
Coursera
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical application of data analysis skills, which aligns with a results-oriented culture. The certifications and personal projects show initiative and a drive for continuous learning. The internship experience in a remote setting suggests adaptability. The breadth of tools used (SQL, Python, Excel, Tableau) indicates a versatile approach to problem-solving.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experience suggest an ability to work with structured data, generate insights, and present findings, which aligns with the operational aspects of a Data Analyst role. The summary mentions an interest in collaborating in fast-paced environments, indicating a potential for good team collaboration.