Prarthana Mozes

Data Analyst with 1+ year of experience in Business Intelligence, statistical analysis, and AI-assisted solution development. Skilled in SQL, Python, Advanced Excel, Power BI, Elasticsearch, and Kibana for data analysis, dashboard development, and business reporting. Experienced in applying statistical methods and structured research to translate raw data into actionable insights, with strong cross-functional collaboration and problem-solving skills.

Contributed to AI assistant development through prompt engineering, Python automation, and applied research on LLMs.

BI Analyst at Ecliptiko Private Limited (2025-05 – 2026-07)

• Designed client-facing BIM dashboards (ACC Issue Metrics, Model Progress Metrics, Clash Analysis Metrics) in Power BI for each project, dynamically reflecting project-wise data to track construction project progress and quality in real time
• Built an Annual Budget Dashboard tracking budget allocation across 90+ employees and 10+ expense categories, giving leadership real-time visibility into spend and reducing manual reporting time by an estimated 40%
• Developed a Manpower Utilization Dashboard tracking working hours of 90+ employees across multiple projects, improving resource allocation accuracy and workload visibility for management
• Created an Employee Evaluation Tracker consolidating performance evaluation data for 90+ employees, cutting manual evaluation compilation time significantly
• Built governance dashboards for weekly meeting attendance tracking and SharePoint file-access control across the organization, improving accountability and data-access compliance
• Extracted, cleaned, and analyzed data using SQL Server, Python, and Advanced Excel to support business reporting and decision-making for 5+ recurring reports
• Designed, tested, and optimized 50+ prompts for AI assistants; conducted applied research on Claude AI/LLM behavior to improve response quality and task performance
• Built Python automation tools and explored Autodesk Revit API integration to streamline repetitive workflows, reducing manual data-entry effort

Data Analyst Intern at Nice Software Solutions (2024-05 – 2024-08)

• Performed data extraction, cleaning, and exploratory data analysis on multiple business datasets using SQL and Python; developed Power BI dashboards that supported faster, data-driven business decision-making

Front-End Web Development Intern at Ayodhya Webosoft (2023-12 – 2024-02)

• Built 5+ responsive, interactive website layouts using HTML, CSS, and JavaScript

B.Tech in Computer Science and Engineering – Krishna Engineering College (2019 – 2023)

ITI (COPA) – Government ITI (2018 – 2019)

Senior Secondary School (CGBSE) – Chhattisgarh State Open School (2018)

Higher Secondary School (CGBSE) – Wesleyan English Medium Higher Secondary School (2015)