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Data Analyst with less than a year in data analysis, business intelligence, and ETL pipeline develop
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Assessing your cultural and operational fit
Results-driven Data Analyst with expertise in data analysis, business intelligence, and data visualization using Python, SQL, Power BI, and Microsoft Fabric. Experienced in building ETL pipelines, designing data models, and delivering KPI dashboards and stakeholder reports that drive actionable insights. Microsoft Certified (PL-300, DP-600, DP-700) with hands-on experience across MySQL, Azure, AWS, and GCP cloud platforms.
Anantrao Pawar College of Engineering and Research
B.E in Comp Engineering · Computer Engineering
August 1, 2019 – June 30, 2023
INDITRONICS
Data Analyst
June 1, 2025 – September 1, 2025
India
Healthcare SQL Database Design & Migration
June 1, 2026 – Present
Normalized an unstructured hospital database into 8+ relational tables and migrated 50K+ historical records, eliminating 25-30% duplicate and invalid entries through data validation triggers and structured data modeling. Implemented role-based stored procedures to enforce access control across patient, doctor, and admin departments, and automated monthly departmental KPI and revenue reporting, reducing manual effort to near-zero.
View ProjectEnd-to-End Automated Data Pipeline for Food Delivery Analytics
June 1, 2026 – Present
Developed an automated ETL pipeline to extract, clean, transform, and load food delivery order records into MySQL for reporting and analytics. Automated email attachment ingestion and achieved 95% ETL automation using Power Automate and Python, reducing 90% manual operational effort. Built Power BI dashboards to monitor 20.48% cancellation rate, revenue, profitability, delivery KPIs, and customer behavior trends. Identified that 6.7% high-risk customers generated 67.5% of total cancellations, enabling targeted retention and fraud-control strategies. Performed root cause analysis on 3,794 cancelled orders, discovering that 36%+ cancellations were caused by late deliveries. Identified the 40-50 minute delivery time window as the highest-risk period for customer cancellations and operational inefficiencies.
View ProjectSupply Chain & Inventory Optimization Platform
June 1, 2026 – Present
Unified Data Hub: Integrated siloed datasets (Products, Shipments, Suppliers) into a centralized MySQL database, establishing a single source of truth for supply chain operations. Advanced SQL Logic: Authored complex Stored Procedures and CTEs to calculate Safety Stock, Reorder Points, and Supplier Lead-Time variability. User Interface & Accessibility: Designed and deployed a Streamlit UI enabling non-technical users to manage inventory and trigger procurement workflows via a no-code interface, reducing manual data entry errors by ~30%. Business Impact: Streamlined reordering workflows, reducing manual inventory reconciliation time by 50% and improving procurement accuracy.
View ProjectPower BI Data Analyst Associate (PL-300)
Microsoft Certified
June 1, 2026 – Present
Microsoft Fabric Analytics Engineer (DP-600)
Microsoft Certified
June 1, 2026 – Present
Fabric Data Engineer Associate (DP-700)
Microsoft Certified
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates initiative and a proactive approach to learning and applying diverse data technologies (Python, SQL, Power BI, GCP, Microsoft Fabric). The projects are practical and business-oriented, suggesting a results-driven mindset. The certifications indicate a strong desire for continuous learning and alignment with industry-standard tools. The limited professional experience (3 months internship) means there's less data to assess long-term cultural fit within a team environment, but the project work shows self-motivation and a project-completion orientation.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving (root cause analysis, optimization), attention to detail (data validation, QA checks), and an understanding of business impact (reducing manual effort, improving accuracy). The use of Streamlit for a non-technical user interface suggests an ability to consider user experience and operational adoption. However, without direct interview data, a comprehensive assessment of soft skills like teamwork, communication style, and adaptability is limited.