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Data Analyst with less than a year in SQL-based data investigation and pipeline monitoring
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 experience in SQL-based data investigation, production pipeline monitoring, and root cause analysis in real-time ingestion environments. Proficient in Oracle SQL, Power BI, Python, and Excel. Skilled in ensuring data accuracy at scale, automating reporting workflows, and maintaining SLA compliance across large operational datasets.
Dr. D. Y. Patil Vidyapeeth
MBA · Data Science & Business Analytics
August 1, 2024 – June 30, 2026
Kishinchand Chellaram College
B.Sc. · Information Technology
August 1, 2020 – June 30, 2023
OrbIT People
Ingestion Analyst
March 1, 2024 – Present
India
Axis My India
MIS Intern
September 1, 2023 – December 1, 2023
Mumbai, Maharashtra, India
Fintech Payment Analysis
June 1, 2026 – Present
Analyzed payment transaction data using SQL to surface failure trends; detected higher NetBanking failure rates and peak downtime windows. Developed KPIs including success rate analysis and revenue trend tracking for operational monitoring.
View ProjectBusiness 360 Dashboard
June 1, 2026 – Present
Built a multi-view Power BI dashboard on 1M+ records to analyze revenue, profitability, and supply chain KPIs. Identified INR 448M revenue erosion from discounts and deductions; optimized DAX measures to significantly reduce dashboard load time.
View ProjectPower BI Data Analytics
Codebasics
June 1, 2026 – Present
Excel: Mother of Business Intelligence
Codebasics
June 1, 2026 – Present
SQL Beginner to Advanced for Data Professionals
Codebasics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including Fintech payment analysis and a business 360 dashboard, aligns well with a data-driven culture. Their current role as an Ingestion Analyst and ongoing MBA in Data Science & Business Analytics shows a commitment to the field. The breadth of skills (SQL, Power BI, Excel, Python) suggests adaptability and a willingness to learn, which are positive indicators for cultural fit in a dynamic data team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis and incident resolution. Their experience with SLA management and documenting procedures indicates an operational mindset focused on efficiency and reliability. The project work shows an ability to translate data into business insights.