Aishwarya GM

Data Analyst

Bengaluru, Karnataka, India2 yrs 6 mos experience

Key Highlights

Experienced in risk analysis and fraud detection.
Proficient in SQL, Power BI, and Python.
Passionate about Fintech and data-driven insights.

Stackforce AI infers this person is a Data Analyst with a focus on Fintech and Fraud Analytics.

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Skills

Core Skills

Data AnalyticsBusiness InsightsRisk AnalysisData-driven Decision Making

Other Skills

SQLExcelPower BIFraud PreventionFinancial AnalysisData AnalysisMySQLCredit Card AnalyticsFraud AnalysisElectrical Engineering EducationPandas (Software)KPI DashboardsFraud DetectionAnalytical SkillsMatplotlib

Experience

2 yrs 6 mos

Total Experience

1 yr 3 mos

Average Tenure

Current Experience

Unified mentor private limited

Data Analyst Intern

May 2026 – Present · 1 mo · Bengaluru · Remote

Data Analyst Intern at Unified Mentor, gaining hands-on experience in data analysis, dashboarding, and business insights using SQL, Excel, and Power BI.

SQLExcelPower BIData AnalyticsBusiness Insights

Career break

Caregiving

Aug 2021 – May 2026 · 4 yrs 9 mos · Bengaluru, Karnataka, India

Took a career break for caregiving and family responsibilities.
Currently actively upskilling in Data Analytics -
building skills in Power BI, SQL, and Python with a focus on Fintech and Fraud Analytics.

Amazon

Transaction Risk Investigator

Jun 2019 – Jul 2021 · 2 yrs 1 mo · Bengaluru · Remote

Data-driven professional with experience in risk analysis and investigations at Amazon, working with large-scale datasets to identify patterns, detect anomalies, and support data-backed decisions.
Currently upskilling in SQL, Power BI, and Python, and building analytical projects using real-world data. Actively transitioning into Data Analytics / Business Intelligence roles with a focus on insight generation and business impact.

Fraud PreventionFinancial AnalysisData AnalysisRisk AnalysisData-Driven Decision Making

24/7 ai

Customer Service Representative

Jan 2019 – Jun 2019 · 5 mos

Handled high-volume customer inquiries, resolving complaints and providing solutions within defined response SLAs.
Maintained strong customer satisfaction metrics through effective communication and problem-solving.