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Data Analyst with 3+ years in Data Analytics & Power BI Development
Results-driven Data Analyst and Business Intelligence professional with 3+ years of hands-on experience in data analytics, dashboard development, MIS reporting, and performance management across retail and facility management domains. Proficient in Power BI (DAX, Power Query, Data Modeling), SQL, Python, Advanced Excel, and Microsoft Fabric. Architected and produced 20+ interactive Power BI dashboards supporting real-time monitoring across 320+ store locations. Skilled in ETL processes, data cleaning, KPI tracking, reporting automation, and translating complex datasets into actionable business insights. Experienced in store audit analytics, inventory management, and cross-functional stakeholder communication. Completed PGDM in Marketing and Business Analytics with strong foundation in machine learning, predictive analytics, and data visualization. Seeking Data Analyst, Power BI Developer, and BI Analyst roles to drive data-driven decision-making and measurable business impact.
MS Ramaiah Institute of Management (MSRIM)
Post Graduate Diploma in Management (PGDM) · Marketing and Business Analytics
August 1, 2024 – April 1, 2026
Pinnacle Institute of Hotel Management and 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
March 1, 2023 – June 1, 2024
Hyderābād, Telangana, India
Reliance Retail
Department Manager
March 1, 2021 – August 1, 2022
Hyderābād, Telangana, India
Late Delivery Risk Prediction – Supply Chain Analytics
June 1, 2026 – Present
Built end-to-end machine learning pipeline on 180,519 supply chain orders; XGBoost classifier achieved ROC-AUC of 0.88 with 79% recall, outperforming Logistic Regression baseline by 19% Engineered 18 custom predictive features including shipping pressure index and target-encoded regional risk scores, improving F1 score by 17% over raw-feature baseline Translated model outputs into Low, Medium, and High risk tiers, flagging approximately 55,000 high-risk orders and identifying $24.8M in revenue exposure Deployed live 4-module Streamlit dashboard with interactive filters, gauge charts, drill-down views, and downloadable priority action lists for operational use Authored 13-page research paper documenting methodology, risk drivers, and projected 15-20% reduction in late delivery rates
ML-Based Buyer Segmentation – Real Estate Analytics
June 1, 2026 – Present
Built unsupervised ML pipeline using K-Means and Hierarchical Clustering to segment 2,000 property buyers across 10,000 transactions into 4 distinct buyer profiles Validated cluster quality using Elbow Method, Silhouette Score, and Adjusted Rand Index for scientific rigor Established and deployed interactive Streamlit dashboard featuring 10+ EDA charts and cluster exploration for business stakeholder use Performed multi-source data integration, data cleansing, and feature engineering across real estate datasets to enable behavior-driven buyer profiling
Online Retail Business Analytics – PGDM Academic Project
June 1, 2026 – Present
Produced complete Business Analysis artifact suite on UCI Online Retail II dataset (1,067,371 records, 43 countries) including SQL queries, BPMN process diagrams, Power BI dashboard, BA report, and presentation Built interactive Power BI dashboard with slicers, drill-through, and KPI cards to visualize revenue trends (GBP 17.7M total), customer behavior, and 15.5% cancellation rate insights
Get Data in Power BI
Microsoft Learn (Power BI Certification)
June 1, 2026 – Present
Orchestrate Processes and Data Movement with Microsoft Fabric
Microsoft Learn
June 1, 2026 – Present
Ingest Data with Dataflows Gen2 in Microsoft Fabric
Microsoft Learn
June 1, 2026 – Present
Use Apache Spark in Microsoft Fabric
Microsoft Learn
June 1, 2026 – Present
Load Data into a Microsoft Fabric Data Warehouse
Microsoft Learn
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia - Forage
June 1, 2026 – Present
SQL, Advanced Excel, MIS Reporting
Cloud Hire
June 1, 2026 – Present
SAP SD
SVM Techno
June 1, 2026 – Present
Data Analytics Internship
Unified Mentor
January 1, 2025 – January 1, 2026
Cultural Fit Analysis
The candidate's project diversity, ranging from supply chain risk prediction to real estate buyer segmentation and online retail analytics, indicates a broad interest in applying data analysis across different domains. Their experience in both professional and academic settings, coupled with certifications in Microsoft Fabric and Power BI, shows a commitment to continuous learning and skill development. The target role of Data Analyst aligns well with their demonstrated technical skills and project experience, particularly in business intelligence, data visualization, and machine learning applications. The international experience also suggests adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in cross-functional collaboration, stakeholder communication, team management, requirements gathering, data storytelling, and presentation. Their experience in automating reporting workflows and maintaining master data repositories indicates a focus on operational efficiency and data governance. The ability to translate technical insights into business value, as shown in project descriptions, suggests a good operational fit for a data-driven role.