Help & Supportcareers@gravityer.com
Data Analyst with less than a year 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
Aspiring Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI. Skilled in data cleaning, data analysis, and dashboard creation. Passionate about solving real-world problems using data and committed to delivering accurate and meaningful insights. A quick learner, team player, and strong communicator ready to contribute from day one.
Swami Ramanand Teerth Marathwada University (SRTMU), Nanded
Master of Computer Application (MCA)
August 1, 2024 – June 30, 2026
City College of SSEBS ITM, Nanded
Bachelor of Computer Application (BCA)
August 1, 2021 – June 30, 2024
Bank Loan Approval System
June 24, 2026 – Present
Built a fully working desktop application where customer fills loan details and system automatically gives APPROVED or REJECTED result. Eligibility checked based on salary, age, and credit score using Python logic. All records stored in MySQL. Admin can view all applications and export complete report to Excel with one click.
Road Accident Data Analysis in India
June 24, 2026 – Present
Collected real road accident data from data.gov.in covering 4 lakh+ records across all Indian states. Cleaned and processed raw data using Python, loaded into MySQL, and built an interactive Power BI dashboard. Dashboard shows accident hotspots by state, peak danger hours, and high-risk vehicle types.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills to real-world problems. The 'Road Accident Data Analysis' project shows initiative in sourcing public data and deriving insights. The 'Bank Loan Approval System' project, while more application-focused, still involves data storage and rule-based logic. The candidate is currently pursuing a Master's degree, indicating a commitment to continuous learning. However, the projects are personal and lack professional experience, which limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, team collaboration, and adaptability as soft skills. These are crucial for a Data Analyst role, indicating a potential good operational fit. The project descriptions also mention 'Team Collaboration', reinforcing this.