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Senior Data Analysis with 3+ years in data analysis, business intelligence, and Power BI development
Results-driven Data Analyst with 3+ years of experience analyzing large, complex datasets to generate actionable business insights and support strategic decision-making across retail and facility-management domains. Skilled in Advanced SQL (Window Functions, CTEs, query optimization), Python for data analysis and automation, and dashboarding with Power BI and Tableau. Strong in exploratory data analysis, trend analysis, and root-cause investigation, with proven ability to translate data into compelling narratives for technical and non-technical stakeholders. Experienced in automating reporting workflows, KPI development, and business performance measurement in fast-paced, data-driven environments. PGDM in Marketing & Business Analytics with a strong foundation in machine learning and data visualization.
MS Ramaiah Institute of Management (MSRIM)
PGDM · Marketing & Business Analytics
August 1, 2024 – April 1, 2026
Pinnacle Institute of Hotel Management & Catering Technology
Bachelor of Hotel Management
March 1, 2017 – March 1, 2020
Unified Mentor
Data Analyst Intern
March 1, 2026 – Present
Bengaluru, Karnataka, India
Marcamor Consulting
Digital Marketing Intern
June 1, 2025 – August 1, 2025
Hyderābād, Telangana, India
Quality Property Management Services (QPMS)
Senior MIS Executive (Data Analyst)
March 1, 2023 – June 1, 2024
Hyderābād, Telangana, India
Reliance Retail
Department Manager (Business & Sales Analytics)
March 1, 2021 – August 1, 2022
Hyderābād, Telangana, India
Late Delivery Risk Prediction
January 1, 2026 – June 1, 2026
• Built an ML pipeline on 180,519 orders; XGBoost classifier achieved ROC-AUC 0.88 with 79% recall, beating the baseline by 19%. • Engineered 18 custom features and translated outputs into risk tiers, flagging ~55,000 high-risk orders and $24.8M revenue exposure; deployed a live 4-module Streamlit dashboard.
ML-Based Buyer Segmentation
January 1, 2026 – June 1, 2026
• Segmented 2,000 buyers across 10,000 transactions into 4 profiles using K-Means and Hierarchical Clustering; validated via Silhouette and Adjusted Rand Index; deployed an interactive Streamlit dashboard with 10+ EDA charts.
Online Retail Business Analytics
January 1, 2026 – June 1, 2026
• Produced a complete Business Analysis suite on a 1M+ record dataset (43 countries): SQL queries, BPMN diagrams, a Power BI dashboard (GBP 17.7M revenue, 15.5% cancellation insights), and a BA report.
View ProjectMicrosoft Skill Fest 2026 - Completed the full Microsoft Fabric Analytics Engineering (DP-600) learning plan (14 modules: Fabric IQ, semantic modeling, DAX, data warehousing, secure data access); earned multiple learning-path trophies.
Microsoft
January 1, 2026 – Present
5x Microsoft Fabric Certifications
Microsoft Learn
January 1, 2026 – Present
Deloitte Australia Data Analytics Job Simulation
Forage
January 1, 2026 – Present
SAP SD
SVM Techno
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans retail and property management, demonstrating adaptability across different business domains. Their academic projects and recent certifications show a proactive approach to skill development and a strong interest in the latest data analytics technologies. The blend of technical roles with a PGDM in Marketing & Business Analytics indicates a holistic understanding of business needs, which aligns well with a data-driven culture. The international experience also suggests an openness to diverse environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving capabilities (e.g., root-cause investigations, payroll discrepancy elimination), and stakeholder management skills. Their experience in automating reports and managing inventory suggests an operational mindset focused on efficiency and accuracy. The project descriptions highlight an ability to translate technical findings into business recommendations, indicating good communication and business acumen. The diverse project types and roles suggest adaptability and a collaborative approach.