Chandrasekaram Ragshan
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1+ years in Data Analytics & Machine Learning.
Final-year Data Science undergraduate with a completed HND in Data Science and practical experience in data analytics, database management, and business intelligence. Skilled in SQL, Python, and Power BI for data extraction, analysis, and visualization. Experienced in working with data pipelines, forecasting models, and dashboard development to support data-driven decision-making. A fast learner who is adaptable and passionate about leveraging data to improve operational efficiency and business performance.
Coventry university
Bachelor of Science (Hons) · Data Science
August 1, 2024 – June 30, 2025
NIBM, Sri Lanka
Higher National Diploma · Data Science
August 1, 2022 – June 30, 2024
VTA, Sri Lanka
NVQ IV · ICT
August 1, 2021 – June 30, 2022
ProActiveChain
Data Analyst
March 1, 2026 – Present
India
ProActiveChain
Associate Data Analyst
September 1, 2025 – March 1, 2026
India
ProActiveChain
Junior Data Analyst
March 1, 2025 – September 1, 2025
India
Inforsha, Colombo
Data Science Intern
September 1, 2024 – February 1, 2025
Colombo, Western Province, Sri Lanka
Divisional Irrigation Office | Batticaloa
Information Technology Intern
January 1, 2022 – July 1, 2022
Batticaloa, Eastern Province, Sri Lanka
Inventory Forecasting & Dashboard Integration
February 1, 2025 – June 1, 2026
Developed a time-series forecasting system for inventory management using Python (ARIMA, ARIMAX, SARIMAX, XGBoost). Integrated forecasts into Power BI and Google Looker Studio dashboards with Power Query, enabling real-time tracking of demand, stock levels, and KPIs.
AI-Powered Workflow Automation in ClickUp
January 1, 2025 – June 1, 2026
Designed and implemented automation pipelines with AI agents in ClickUp to streamline task management, reporting, and team workflows, integrating with Slack for real-time notifications and collaboration. Achieved the ClickUp Power User Batch certification, demonstrating advanced expertise in workflow automation and platform optimization.
Advanced Excel Inventory Reporting System
January 1, 2025 – December 31, 2025
Developed a comprehensive inventory reporting solution using advanced Excel formulas, pivot tables, and Power Query. Automated stock monitoring, variance analysis, and KPI tracking to support demand planning and decision-making, reducing manual reporting efforts and improving accuracy.
Europe Sales Records Analysis – Python Dashboard
March 1, 2024 – March 1, 2024
Built an interactive Python dashboard with click data, dropdown filters, hover insights, and maps, providing regional and product-level insights into sales trends and profitability across Europe.
Employee Management System – SQL Database
February 1, 2024 – February 1, 2024
Designed and implemented an SQL-based employee management system with relational tables for employees, departments, job positions, and salaries. Developed optimized queries for salary analysis, data retrieval, and workforce insights.
ClickUp Power User Badge
ClickUp
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from inventory forecasting to employee management systems and sales analysis, indicates adaptability and a broad interest in applying data science across different domains. Their progression within ProActiveChain and engagement in both professional and academic projects suggest a commitment to continuous learning and growth. The ClickUp Power User Badge further highlights a proactive approach to mastering tools and optimizing workflows, which is a positive indicator for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership potential, having progressed from Junior to Data Analyst within the same company and mentoring junior analysts. Their experience in client communication and cross-functional collaboration suggests good interpersonal skills. The focus on automating workflows and improving reporting pipelines indicates a proactive and efficiency-driven mindset, which aligns well with operational excellence.