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Data Analyst with less than a year in Data Analysis & Process Improvement
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Detail-oriented Data & Operations Analyst with hands-on experience owning automated workflow quality, driving process improvement initiatives, and delivering cross-functional operational excellence in fast-paced environments. Demonstrates a bias for action in identifying root causes, developing SOPs and validation frameworks, and translating complex datasets into actionable KPI insights for leadership. Proficient in Excel (Advanced), SQL, Power BI, Python (Pandas, NumPy, Matplotlib), and workflow automation tools. Comfortable with ambiguity and skilled at balancing operational rigor with the speed required to scale.
Visvesvaraya Technological University
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
Rani Channamma University
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
AI Variant
Solution & Data Analyst Intern
February 1, 2025 – November 1, 2025
India
Compensation & Payroll Reporting Simulator
June 1, 2026 – Present
Designed a structured Excel model simulating accumulation of payroll and non-payroll compensation components, with automated roll-up logic aligned to monthly cut-off reporting requirements. Built Power BI dashboards with quality KPI tracking to visualise compensation distributions, flag anomalies, and validate AI-driven data outputs before stakeholder sign-off. Developed SOPs for the reporting cycle and applied DAX measures and Power Query transformations to dynamically update compensation data with zero manual re-entry, reducing processing errors by 30%.
Retail Sales Analytics Dashboard
June 1, 2026 – Present
Analysed 50,000+ retail transactions to uncover trends, regional insights, and seasonal patterns; presented performance insights to cross-functional business stakeholders. Implemented validation frameworks using DAX and Power Query for dynamic, self-service Power BI reporting, ensuring data accuracy and operational excellence across multiple business domains. Established scalable reporting mechanisms enabling real-time operational oversight with zero manual re-entry of source data.
Bank Loan Risk & Compliance Analysis
June 1, 2026 – Present
Identified loan default patterns using root cause analysis via SQL joins, aggregations, and advanced Excel pivot analysis; surfaced key risk indicators for the credit underwriting team. Created Quality KPI dashboards in Power BI to support risk-based decision-making; applied data validation frameworks to ensure compliance with audit and regulatory thresholds.
Healthcare Readmission Analytics
June 1, 2026 – Present
Used Python (Pandas, NumPy) to analyse patient readmission data, identify treatment trends, and validate data quality of automated ETL outputs before surfacing insights to clinical and management stakeholders. Automated ETL pipelines with accuracy monitoring checkpoints, reducing manual processing effort by 35% and improving data reliability in a multi-priority operational environment. Visualised healthcare KPIs using Matplotlib; delivered findings in structured presentations to stakeholders across clinical, operational, and management teams.
Data Analyst Certification
ExcelR
June 1, 2026 – Present
Advanced Excel
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering compensation, retail sales, banking, and healthcare analytics, indicates a broad interest and adaptability to different business domains. Their focus on process improvement, automation, and data quality aligns with a culture that values efficiency and data-driven decision-making. The internship experience at 'AI Variant' suggests an interest in leveraging AI-driven outputs, which is a positive indicator for cultural fit in forward-thinking organizations.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as stakeholder communication, attention to detail, and multi-priority task management, which are crucial for operational fit in a data analyst role. Their experience in cross-functional collaboration and delivering timely reports to geographically distributed teams indicates good teamwork and adaptability.