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Data Analyst with 1+ years in SQL & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Data Analyst with hands-on experience in SQL, Excel, data transformation, and business intelligence. Currently working at Solvios Technologies, skilled in analyzing large datasets, building KPI-driven dashboards using Amazon Quick Sight, and delivering actionable insights to support product and business decisions. Experienced in tracking key metrics such as user adoption, engagement (90-day active users), and feature usage trends. Strong foundation in data validation, ETL processes, and reporting, with a focus on improving data accuracy, operational efficiency, and data-driven decision-making.
Silver Oak University
Masters · Mathematics
August 1, 2021 – June 30, 2023
Mohanlal Sukhadia University
Bachelor of Science
August 1, 2017 – June 30, 2020
Solvios Technology
Data Analyst (Contractual)
February 1, 2026 – June 1, 2026
Ahmedabad, Gujarat, India
FREO(MoneyTap)
Analyst (Associate – Finops)
July 1, 2024 – September 1, 2024
Bengaluru, Karnataka, India
Quantinent
Risk Data Analyst
April 1, 2023 – June 1, 2024
Ahmedabad, Gujarat, India
Data Science and AI
Intellipaat and IIT Madras
September 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience spans different domains (product analytics, financial operations, risk analysis) and company types (contractual, full-time), indicating adaptability and a willingness to engage with diverse challenges. The breadth of technical skills listed (SQL, Python basics, AWS, Power BI, Excel, GA4, Jira, Confluence) suggests a proactive approach to learning and a potential for cross-functional collaboration. The Master's degree in Mathematics further strengthens the analytical foundation, aligning well with data-driven cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, which are crucial for a Data Analyst role. Experience in stakeholder communication and collaboration suggests good operational fit for working with business and product teams. The ability to manage reconciliation processes and ensure data quality indicates a methodical and organized approach to work.