Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in Fintech and E-commerce, proficient in SQL, Python, and 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
Data Analyst with 2.5+ years in Fintech and E-commerce, with a software engineering background that enables deep understanding of enterprise data systems. Proficient in SQL, Python (Pandas, NumPy), Power BI, Tableau, and Advanced Excel with expertise in EDA, statistical analysis, ETL pipelines, and KPI analysis. Improved SQL query performance by 20% across a 500+ store system and delivered dashboards for transaction monitoring and funnel analysis. Adept at converting complex datasets into actionable insights and stakeholder-ready reports.
Al-Falah University
B.Tech · Computer Science & Engineering
August 1, 2016 – June 30, 2020
Estel Technologies
Software Engineer
April 1, 2022 – September 1, 2024
Gurgaon, Haryana, India
E-Commerce Order Analytics Dashboard
June 20, 2026 – Present
Performed end-to-end sales data analysis for Vrinda Store's 2022 annual dataset of 31,000+ orders worth ₹2.1 crore, using Excel pivot tables to identify monthly trends, customer demographics, and regional performance across 5 top states including Maharashtra and Karnataka. Analyzed multi-channel e-commerce sales data across 7 platforms (Amazon, Flipkart, Myntra, Meesho, and others), identifying Amazon as the leading channel with 35% order share, which helped in understanding platform-wise revenue contribution for business decision-making. Conducted customer segmentation analysis by gender and age group, revealing that women contributed 64% of total revenue and adult female customers represented the highest-value segment, enabling targeted insights for marketing and inventory strategy.
Remittance Payment Platform - Transaction & Anomaly Analysis
June 20, 2026 – Present
Designed structured audit logging using Kafka to capture transaction events, creating a reliable data foundation for downstream analytics and compliance reporting. Developed SQL queries to validate currency conversion accuracy and detect anomalies in high-value transfers, reducing data quality errors and supporting root cause analysis.
Retail POS System - SQL Performance & Reporting (500+ Stores)
June 20, 2026 – Present
Optimized SQL queries across a 500+ store retail transaction system, improving query speed by 20% and validating results through before/after performance benchmarking. Produced structured performance reports using Python and Excel pivot tables, delivering clear data summaries that supported management decisions on system scalability.
Cultural Fit Analysis
The candidate's project diversity, spanning e-commerce, remittance, and retail, indicates adaptability and a broad interest in different business domains. Their software engineering background, combined with a focus on data analysis, suggests a blend of technical depth and practical application, which can be a strong cultural fit for roles requiring both implementation and analytical insights. The explicit mention of 'stakeholder-ready reports' and 'management decisions' points to a results-oriented approach.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking and problem-solving skills, particularly in identifying and resolving processing bottlenecks and data quality issues. Their experience in collaborating cross-functionally to define data schemas suggests good teamwork and communication for operational fit. The ability to convert complex datasets into actionable insights indicates a business-oriented mindset.