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Senior Analyst with 3+ years in SQL, Python, and Power BI
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Detail-oriented Data Analyst with 3+ years of experience in SQL, Python, and Power BI, delivering business intelligence and compliance analytics across global organizations. Proven ability to build ETL pipelines, design KPI dashboards, and translate complex datasets into actionable insights for stakeholders. Reduced reporting errors by 30% at Honeywell and supported audit-ready data pipelines across millions of records at Accenture.
St. Joseph's Evening College (Autonomous)
MBA · Business Administration
August 1, 2023 – June 30, 2025
Lal Bahadur Shastri Group of Institutions
B.Com · Bachelor of Commerce
August 1, 2018 – June 30, 2021
Honeywell Technology Solutions
Data Analyst
June 1, 2025 – Present
Bengaluru, Karnataka, India
KultureHire
Data Analyst Intern
June 1, 2024 – August 1, 2024
Bengaluru, Karnataka, India
Accenture
Trust & Safety Analyst
January 1, 2023 – June 1, 2025
Bengaluru, Karnataka, India
Sales Revenue Intelligence Dashboard
May 1, 2026 – June 1, 2026
• Designed multi-page Power BI dashboard with DAX measures for YoY/MoM revenue growth, product-level drill-through, and KPI scorecards - reducing ad-hoc reporting requests by 60%. • Built PostgreSQL ETL scripts to extract, clean, and validate 2+ years of transactional sales data, with automated anomaly flagging and reconciliation checks across 50,000+ records. • Implemented Python time-series forecasting model to project quarterly revenue trends, supporting strategic planning decisions for the sales leadership team. • Standardized data schema across 3 source systems using canonical ID mapping, improving downstream query accuracy and eliminating duplicate records. • Delivered stakeholder-ready executive summary and data dictionary documenting all KPI definitions, refresh schedules, and data lineage for audit readiness.
View ProjectCustomer Churn Prediction & Dashboard
April 1, 2026 – May 1, 2026
• Achieved 87% model accuracy on a 10,000+ record e-commerce dataset using logistic regression and random forest algorithms, identifying top 5 churn drivers through permutation-based feature importance. • Designed interactive multi-page Power BI dashboard displaying churn risk segments, retention KPIs, revenue impact, and customer lifetime value trends for non-technical stakeholders. • Built end-to-end data pipeline covering raw ingestion, missing-value imputation, outlier treatment, one-hot encoding, and feature engineering using Python and Pandas. • Wrote optimized SQL queries for data extraction and aggregation; validated output at each pipeline stage to ensure 100% data integrity before model training. • Documented full methodology and model reproducibility guide enabling replication by analysts without an ML background.
Data Analytics and Visualization
Unknown
June 1, 2026 – Present
Introduction to Programming Using Python
Unknown
June 1, 2026 – Present
PostgreSQL - Database Management & Querying
Unknown
June 1, 2026 – Present
Microsoft Excel - Advanced
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different companies (Accenture, Honeywell, KultureHire) and diverse projects (sales revenue, customer churn, compliance analytics) indicates adaptability and a broad skill set. Their pursuit of an MBA alongside professional experience shows a commitment to continuous learning and strategic thinking, which aligns well with a growth-oriented culture. The focus on reducing manual effort and improving data integrity suggests a proactive and efficiency-driven mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and professional experience. Their ability to communicate complex data trends to non-technical stakeholders and author SOPs indicates good operational fit and potential for team leadership. Experience in training and standardizing processes suggests a collaborative and structured approach to work.