Help & Supportcareers@gravityer.com
Data Analyst with 1+ years in Python, SQL & 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
Detail-oriented and analytical Entry-Level Data Analyst with hands-on experience in Python, SQL, Microsoft Excel, and Power BI. Strong knowledge of data cleaning, exploratory data analysis (EDA), data visualization, dashboard development, KPI reporting, and business intelligence concepts. Experienced in analyzing large datasets to generate actionable business insights through academic projects and industry simulations. Seeking an opportunity to contribute analytical and problem-solving skills in a data-driven organization.
Savitribai Phule Pune University
Bachelor of Engineering (B.E.) · Computer Engineering
August 1, 2021 – June 30, 2025
Deloitte
Data Analytics Job Simulation – Forage
January 1, 2025 – Present
India
Sales & Customer Analytics Dashboard
June 21, 2026 – Present
Analyzed 50,000+ sales records using Python and SQL to identify revenue trends and customer purchasing behavior. Performed data cleaning and preprocessing by handling missing values and removing duplicates to improve data accuracy. Conducted exploratory data analysis (EDA) to identify seasonal sales patterns and high-performing product categories. Developed interactive Power BI dashboards including KPIs such as Revenue Growth, Customer Retention Rate, and Top-Selling Products. Generated data-driven insights to support business decision-making and sales strategy optimization.
AI Skills Passport – EY & Microsoft
EY & Microsoft
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic project and virtual internship demonstrate an interest in applying analytical skills to real-world business problems. The 'AI Skills Passport' certification indicates a proactive approach to learning emerging technologies. The project diversity, though limited to one main project, shows a foundational understanding of the data analysis lifecycle, aligning with a data-driven organizational culture.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication skills, attention to detail, and time management as soft skills. These are highly relevant for a Data Analyst role, indicating a good operational fit for tasks requiring meticulous data handling and insightful communication.