Help & Supportcareers@gravityer.com
Data Analyst with less than a year in data analytics, skilled in SQL, Python, Power BI, and ETL.
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 hands-on project experience across retail, finance, and lending domains, seeking a role in Data Analytics. Proficient in SQL, Python, Power BI, Tableau, Alteryx-style ETL pipelines, and Advanced Excel. Experienced in translating raw datasets into business intelligence through EDA, KPI dashboards, and risk segmentation. Skilled at status reporting to stakeholders and communicating data-driven findings in a clear, concise manner aligned with regulatory and compliance requirements.
Dayananda Sagar Academy of Technology and Management, Bengaluru
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2025
Shree Devi College of Information and Science, Mangaluru
Bachelor of Computer Applications (BCA)
August 1, 2020 – June 30, 2023
St. Antony's High School, Udane
Database Administrator
August 1, 2023 – January 1, 2024
Pune, Maharashtra, India
Walmart Sales Data Analysis Branch & Category Performance
June 1, 2026 – Present
Wrote 15+ SQL queries using CTEs, window functions, and aggregations to analyze 1,000+ retail transactions across 3 branches — core ETL and data assurance skills applicable to technology consulting engagements. Ranked product categories by profitability margin and surfaced that female customers drove 60% of membership purchases, communicating findings concisely to inform a targeted loyalty strategy.
View ProjectLending Risk & Default Pattern Analysis
June 1, 2026 – Present
Analysed 5,000+ borrower records using Python (Pandas) and SQL to detect, monitor, and predict loan default risk — directly aligned with PwC Advisory's data assurance and risk management mandate. Identified that borrowers with debt-to-income ratios above 40% defaulted at 3x the average rate, providing a compliance-relevant finding to reduce credit exposure. Built Power BI dashboards segmenting borrowers into Low / Medium / High risk tiers; delivered findings through structured status reporting to non-technical stakeholders, enabling independent decision-making.
View ProjectGlobal Sales Dashboard Regional Profitability Analysis
June 1, 2026 – Present
Designed and executed ETL pipeline to clean and transform multi-region sales data using Power Query, resolving data quality and compliance issues across 5 regional datasets — producing analysis-ready business intelligence. Identified that the APAC segment contributed 38% of revenue but carried the highest return rate (12%), surfacing a logistics risk issue — demonstrating the ability to detect anomalies relevant to regulatory and assurance review. Created DAX measures for YoY growth, profit %, and return rate KPIs; presented findings clearly to non-technical stakeholders, enabling self-service data exploration.
View ProjectMicrosoft Certified: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
AWS Cloud Practitioner - Solution Architecture Fundamentals
Amazon Web Services
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio spans finance, retail, and general sales, indicating a broad interest in various data domains. The certifications (Microsoft Power BI, AWS Cloud Practitioner, Deloitte Job Simulation) show a proactive approach to skill development and alignment with industry-standard tools and practices. The academic background in Computer Applications further supports a foundational understanding relevant to data analytics. This diversity and initiative suggest a good cultural fit for a dynamic data analyst role.
Soft Skills & Operational Fit
The candidate demonstrates good communication skills through clear project descriptions and experience in presenting findings to non-technical stakeholders. The project diversity suggests an ability to adapt to different data domains. The Database Administrator role indicates an understanding of data integrity and compliance procedures, which are crucial for operational fit in a data-driven environment.