Arun V

Business Data Analyst at Agathium

January 2025 - Present

Business Process Optimization & Analysis

• Redesigned enterprise business processes using ARIS, achieving a 25% improvement in operational efficiency.
• Developed and maintained comprehensive documentation libraries, ensuring compliance with industry standards and regulatory requirements.
• Implemented governance frameworks to enhance collaboration, process consistency, and operational excellence.
• Delivered actionable, data-driven recommendations to support business transformation initiatives.

Key Responsibilities

• Served as a bridge between business and technical teams, gathering and documenting system requirements through workshops and interviews.
• Analyzed and optimized workflows in Enterprise, Energy & Utilities asset management systems, driving efficiency improvements.
• Utilized SQL, Excel, and Power BI to monitor system performance, track feature adoption, and generate actionable insights.
• Led end-to-end project execution using Agile methodologies, ensuring timely delivery and alignment with business objectives.
• Maintained structured documentation for system updates and process changes, mentoring team members on best practices.
• Collaborated with cross-functional teams to define objectives and deliver innovative, data-driven solutions.

Business Analyst at payAgri

March 2024 - December 2024

Business Process Optimization & Data-Driven Insights

• Streamlined core business workflows using BPMN, reducing process bottlenecks by 20% and enhancing operational efficiency.
• Established robust process documentation standards, improving compliance and adaptability to evolving business needs.
• Conducted risk assessments and implemented data quality review frameworks, ensuring accuracy and regulatory compliance.
• Developed ROI-based business cases to support strategic initiatives, enabling data-driven decision-making at the executive level.

Data Management & Advanced Analytics

• Processed and analyzed large datasets using Python (Pandas, NumPy) and SQL, delivering actionable insights to drive business growth.
• Designed and deployed interactive dashboards in Power BI and Python, enhancing reporting efficiency and stakeholder engagement.
• Built real-time Power BI dashboards to monitor operational KPIs, enabling proactive performance management.

Project Execution & Stakeholder Collaboration

• Led end-to-end project delivery, ensuring alignment with organizational objectives and on-time execution using Agile methodologies.
• Collaborated with cross-functional teams to gather requirements, define goals, and implement impactful business solutions.
• Facilitated effective communication between stakeholders, ensuring clarity and alignment throughout project lifecycles.

Data Analyst Internship at Rubus Digitals

Jan 2024 - Mar 2024

• Data Analytics & Financial Modeling: Conducted exploratory data analysis (EDA) and financial modeling using Python and SQL, providing insights that informed strategic business decisions.
• Database Management: Optimized SQL queries and managed relational databases in PostgreSQL, improving data retrieval efficiency by 25%.
• Real-Time Analytics: Integrated MQTT for real-time data streaming, enabling event-driven decision-making and enhancing operational responsiveness.
• Dashboard Reports: Developed dashboard reports in Power BI to track key metrics, supporting data-driven decision-making across teams.

Business Analyst Internship at Startup Tamil Nadu - Tamil Nadu Startup & Innovation Mission

Dec 2022 - May 2023

• Strategic Analytics Development: Built advanced analytics tools using SQL and Power BI for the Startup India Ranking 2022 project, contributing to Tamil Nadu’s improved national ranking.
• Process Improvement & Compliance: Designed and implemented a control framework aligned with international standards, ensuring operational efficiency and compliance.
• Stakeholder Collaboration: Conducted functional and user acceptance testing (UAT), securing stakeholder sign-offs and ensuring solution readiness for deployment.
• Operational Excellence: Streamlined processes and addressed escalations, resulting in a 20% reduction in operational delays and improved delivery timelines.

Global Rice Production Analysis

Analysed a dataset of over 50,000 records detailing rice production trends across countries from 1961 to 2021.

• Identified top-producing nations and uncovered shifts in production due to technological advances and climate factors.
• Utilized Python (Pandas, Matplotlib, Seaborn) to visualize trends, showcasing key patterns in global food security.
• Provided insights into regional disparities and sustainability challenges, aiding agricultural policy development.

Crop Production Statistics - India

Analysed a dataset with over 3 lakhs records of crop production across Indian states, focusing on yield patterns and trends.

• Identified seasonal variations and key factors impacting production, enabling data-driven resource allocation.
• Utilized Python and visualization tools to present findings, aiding strategic agricultural planning.
• Insights supported policymakers in enhancing crop productivity and optimizing supply chain efficiency.
• Provided actionable recommendations to address regional disparities and improve farmer outcomes.

Heart Disease Prediction

Analysed a dataset with 308,854 rows and 19 columns, achieving 92% accuracy in predicting heart disease.

• Identified that 63.9% of heart disease patients lacked regular exercise, emphasizing the importance of physical activity.
• Insights highlighted smoking cessation and exercise promotion as crucial preventive measures.
• Delivered actionable findings to support healthcare professionals in reducing cardiovascular risk.