Help & Supportcareers@gravityer.com
Data Analyst with 2+ years in Power BI & SQL for business insights.
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 3 years of experience building dashboards, writing SQL queries, and turning raw data into clear business insights. Skilled in Power BI, Advanced Excel, and SQL with hands-on experience in UAT testing, KPI reporting, and stakeholder communication. Currently working in AI data quality at Innodata (remote) – reviewing AI-generated content and maintaining labeling standards. Open to Data Analyst and BI Analyst roles across IT and technology companies.
Pune Institute of Business Management
MBA · Marketing Analytics
August 1, 2021 – June 30, 2023
Jagannath Institute of Management Science
BBA · International Business
August 1, 2018 – June 30, 2021
Innodata
AI Data Annotator & Data Analyst
March 1, 2026 – Present
Noida, Uttar Pradesh, India
Bajaj General Insurance Co. Ltd.
Business Intelligence Analyst
June 1, 2023 – October 1, 2025
Bengaluru, Karnataka, India
Profit Analysis - Which Business Spending Drives the Most Profit
June 24, 2026 – Present
A company needed to know whether R&D, Admin, or Marketing spend was actually growing profit — decisions were being made without clear evidence. Pulled financial records from a database, cleaned the data in Excel, and compared each spending category against profit figures one by one. R&D had the strongest link to profit. Marketing had some effect. Admin costs showed almost no impact on profit numbers. Built a Power BI report with simple charts showing actual vs expected profit per category — recommended increasing R&D budget and reducing admin costs.
Supply Chain Performance Dashboard
June 24, 2026 – Present
Operations were tracking supply numbers — revenue, defects, delivery times — across separate Excel files with no central view, leading to slow decisions. Loaded all data into Power BI, cleaned and structured it, then built a two-page dashboard filterable by product and location. Skincare led in revenue. Haircare had the highest defect rate. Average delivery time was 17 days – flagged as a target for improvement. Team could now check all supply chain numbers in one place, cutting manual checking from days to minutes.
Canara Bank Integration - Insurance Products on Banking App
June 24, 2026 – Present
Bajaj General Insurance partnered with Canara Bank to list insurance products on Canara Bank's mobile app. I was involved as Business Analyst and Data Analyst. Worked across both organizations to verify product data, pricing, and configuration were correctly set up before the integration went live. Designed and ran UAT test cases covering all product types — raised defects, tracked fixes, and gave formal sign-off for go-live. Tracked integration progress through a Power BI dashboard showing open issues, resolved items, and data accuracy on both sides. Launch completed with zero data errors — opened a new sales channel for the business.
Certified Data Analyst
DataMites
June 1, 2026 – Present
Generative AI for Professionals
GrowthSchool
June 1, 2026 – Present
Google IAB Certification
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from financial analysis to supply chain and banking integration, shows adaptability and a broad interest in applying data analysis across different business domains. Their experience as a Business Intelligence Analyst and current role as an AI Data Annotator & Data Analyst aligns well with roles requiring analytical thinking and data-centric problem-solving. The academic projects, though not professional, demonstrate initiative and practical application of learned skills. The certifications in Data Analysis and Generative AI indicate a proactive approach to continuous learning and skill development, which is a positive cultural fit for dynamic tech environments.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail through data annotation and quality review tasks. Their experience in UAT testing and requirement gathering indicates a methodical approach to problem-solving and a focus on delivering accurate, validated solutions. The professional experience also highlights stakeholder communication and collaboration, essential for operational fit in a data-driven environment.