Akshay Kumar Neela
Data analyst|Power bi developer|SQL|Python|Azure devops|Data analysis|Qlik sense|snow flake|Tableau|excel|2 years experience
- Role
- Software Engineer at L&T Technology Services
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Akshay Kumar Neela
Data Analyst and Power BI Developer with 2.7 years at L&T Technology Services, building…
Experience
Software Engineer
Sep 2023 — Present · Mysore, IN
Credit Note Dashboard for Finance Department: Designed and developed an interactive Power BI dashboard to monitor credit note creation, approval status, pending cases, aging, and closure tracking for the finance team, enabling real-time visibility into credit note processing and reducing manual tracking effort.Data Integration & Modeling: Integrated data from multiple sources including SQL, Excel, and system extracts to build a unified reporting model, designed optimized relationships using star schema, and created calculated columns and measures for accurate financial reporting.Advanced DAX & KPI Tracking: Implemented dynamic DAX measures for Aging, Turnaround Time (TAT), monthly trend analysis, pending vs processed credit notes, and amount reconciliation to support finance and business users in decision-making.Interactive Reporting & Role-Based Analysis: Built slicers, drill-through reports, and user-level filters to allow finance managers and stakeholders to analyze credit notes by date, region, status, and owner, improving report usability and performance tracking.Azure DevOps Work Item Analytics Integration: Developed a Python-based data extraction solution using REST API to pull Azure DevOps work item data including assignment history, planned dates, closed dates, and related work items, and connected the data to Power BI for commit vs done ratio, sprint tracking, and workload analysis dashboards.Data Migration (ODS → Data Lake) Support: Worked on data migration from Operational Data Store to Data Lake by creating SQL scripts for extraction, validation, and transformation, performing data reconciliation, and preparing clean datasets for BI dashboards without impacting existing reports.
Education
Vitap
Integrated Mtech
2018 — 2023
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