ABOUT ME
Business & Data Analyst
Intro
Hey, I'm Arun. I'm a Business & Data Analyst, founder, researcher, and builder of digital infrastructure for things that matter — like health, agri-tech, insurance, and street vendor empowerment.
I'm currently leading backend architecture for a health-insurtech platform integrating with ABHA and NHCX. I'm also sourcing coconuts, building a VR training module for turmeric farmers, and managing pricing APIs for India's rural markets.
Before this, I worked at PayAgri, Agathium, and StartupTN, crafting dashboards, raising funding, and bridging the gap between data and decision-making.
I believe systems thinking can change lives, code can democratize access, and that every farmer deserves a dashboard.
Some History
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At 6, I built sandcastles with coconut shells.
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At 16, I was managing procurement data on Excel for my uncle's business.
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At 20, I graduated with a degree in Agriculture. Then I pivoted to Python.
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Built a cardiovascular disease prediction model in college using public datasets.
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Tracked mandi (market) prices using government APIs before it was cool.
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Used Power BI + SQL to optimize decision-making for agri start-ups.
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Interned at StartupTN, where I mapped the Tamil Nadu startup ecosystem and pitched process improvements to the government.
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Developed health insurance onboarding flows linked with ABHA, DPDP Act, and IRDAI guidelines.
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Created a loyalty streak algorithm for roadside vendors — because Grandma Rani deserves that 10% off.
Things I've Built (and am proud of)
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HealthTech Insurance Platform: With ABHA integration, digital lockers, HIP-HIU data flow, claim lifecycle, and compliance under DPDP and NHCX.
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Agri Seller App: Local vendors track inventory, profits, footfall, loyalty streaks, and pricing forecasts.
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Market Price API Engine: TN Agmark + agmarknet.gov.in + OpenCV to validate photographed quantities. Because the best verification system is your phone camera.
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VR Training for Turmeric Cultivation: Immersive modules for rural farmers — because video is great, but VR is unforgettable.
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Coconut Supply Chain Analysis: From Pollachi to Bangalore with toll, weight, and fuel cost models. No truck left behind.
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Health Portfolio App: Built for smooth onboarding, Aadhaar integration, medical history categorization, and real-time insurance validity badges.
I Like
Fun Facts
- I once mapped entire mandi trends using just latitude-longitude coordinates and a farmer's voice note.
- I sketch startup ideas on napkins, receipts, or in Notion at 2 AM.
- I dream in dashboards and keep a list of 100+ data business ideas.
- I have a secret Excel sheet where I rank coconut quality across districts.
I Dream Of
- Empowering farmers to be price-setters, not price-takers
- Building India's most intuitive insurance interface
- Contributing to India's decentralized agri-data future
- Telling better stories through data — in Tamil, English, or Python
Places I Work Best In
- Vellore, India — my base, my lab
- Chennai — for momentum
- Bangalore — for markets and mentors
- Delhi — for policy
- A quiet field or farm — for clarity
People & Projects That Inspire Me
- Nandan Nilekani — for the ABHA/UPI scale mindset
- Rohan Pavuluri — for building with heart
- Rohini Nilekani — for listening to the grassroots
- Karthik Muralidharan — for thinking with data and dignity
- MLDangelo — for writing this kind of About Me
RESUME
EDUCATION
Tamil Nadu Agricultural University
Bachelor's Degree in Agricultural Science
2019 - 2023
Specialized in agricultural data analysis and statistical modeling, with coursework in econometrics and agricultural business management.
EXPERIENCE
Business Data Analyst (Contractual)
Agathium, Bangalore • January 2025 - Present
- Redesigned enterprise-level business processes using ARIS, achieving a 25% improvement in operational efficiency.
- Developed investment facilitation models and policy documentation for a unified insurance ecosystem aligned with government initiatives.
- Analyzed foreign investment trends, FDI inflows, and employment data; prepared strategic briefs for global delegation engagements and investment positioning.
- Built interactive Power BI dashboards integrated with SQL to visualize economic indicators and monitor sectoral growth across regions.
- Implemented governance frameworks and standardized documentation practices, ensuring regulatory compliance and operational transparency.
- Led Agile-based project delivery, bridging business and technical teams to align with business transformation goals.
- Optimized workflows across enterprise and utilities asset management systems, integrating performance monitoring tools to enhance system efficiency.
Business Analyst
payAgri, Theni & IIT Madras Research Park • March 2024 - December 2024
- Streamlined cross-functional agri-supply workflows using BPMN, reducing process bottlenecks by 20% and improving trade readiness.
- Spearheaded market-readiness interventions aligned with Ease of Doing Business reforms, increasing rural agri-enterprise participation.
- Conducted risk assessments and implemented data quality governance frameworks, ensuring compliance with export regulations.
- Drafted policy briefs and developed ROI-focused business cases for government-supported initiatives and grant funding proposals.
- Built real-time Power BI dashboards and Python-based reporting tools for KPI monitoring, enhancing operational visibility across the value chain.
- Consolidated large datasets using SQL and Python (Pandas, NumPy) to generate trade-related insights supporting export promotion.
- Collaborated with export-focused stakeholders and foreign partners to showcase Tamil Nadu’s agri-export strengths.
Data Analyst Intern
Rubus Digitals, Hyderabad • January 2024 - March 2024
- Conducted exploratory data analysis (EDA) and financial modeling to inform pricing and market strategies for B2B partners in digital commerce.
- Optimized SQL queries and managed PostgreSQL databases, improving data pipeline efficiency by 25%.
- Integrated MQTT-based real-time data streaming for supply chain monitoring and event-driven analytics.
- Designed Power BI dashboards to visualize product metrics, enabling real-time tracking and strategic forecasting.
Business Analyst Intern
StartupTN (Department of MSME, Govt. of Tamil Nadu) • December 2022 - May 2023
- Contributed to Tamil Nadu’s recognition as a “Best Performer” in the Startup India Ranking 2022 by designing data-driven policy briefs.
- Built interactive dashboards and analytics tools using SQL and Power BI to monitor state-wide startup performance and funding distribution.
- Conducted secondary research and authored whitepapers on startup investment policy frameworks and innovation clusters.
- Facilitated investor onboarding and collaborated with multilateral institutions, enhancing Tamil Nadu’s profile in international startup investment networks.
- Streamlined processes and led user acceptance testing (UAT), ensuring stakeholder alignment and implementation readiness.
SKILLS
Technical Skills
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SQL
90%
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Python
85%
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Power BI
80%
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Excel
90%
Business Skills
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Data Analysis
90%
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Process Improvement
85%
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Requirements Gathering
80%
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Stakeholder Mgmt
75%
Data Analysis
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NumPy
80%
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Pandas
75%
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Matplotlib
80%
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Seaborn
80%
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Plotly
75%
CERTIFICATIONS
Data Visualization with Tableau by UC Davis
View credentialsMastered creating dynamic dashboards, interactive charts, and compelling data stories using Tableau to effectively communicate insights.
Data Analysis with Python by IBM
View credentialsDeveloped strong expertise in Python libraries like Pandas and Matplotlib for data cleaning, exploration analysis, and advanced visualizations.
Data Analytics Essentials by Cisco
View credentialsBuilt foundational knowledge in data collection, preparation, and statistical techniques for informed business decision making.
Google Data Analytics Professional Certificate
View credentialsAcquired end-to-end analytics skills, including data cleaning, R programming, SQL queries, and data visualization, to solve real-world business problems.
Strategy and Game Theory for Management
View credentialsExplored strategic frameworks and game theory concepts to analyze competitive scenarios and optimize managerial decision-making.
Google Advanced Data Analytics
View credentialsDeveloped advanced proficiency in statistical modeling, machine learning, and predictive analytics to tackle complex business challenges.
Google Project Management
View credentialsLearned project planning, risk management, and stakeholder communication skills to successfully manage projects from initiation to completion.
Pre MBA-Statistics
View credentialsEnhanced understanding of statistical techniques and their application in business scenarios, laying a strong foundation for advanced managerial analytics.
PROJECTS
News Sentiment Analysis using NLP
Dashboard: newssentimentanalysis.streamlit.app
This project analyzes sentiment trends in news articles to evaluate public perception and media tone on various topics. It uses the News API to fetch headlines in real time, processes text with NLP (TextBlob), and classifies sentiment (positive, negative, neutral). Results are visualized through time-series plots and word clouds.
- Real-time news fetching via News API
- Sentiment classification and polarity scoring
- Word cloud generation for keyword emphasis
- Time-series sentiment trends
UN Trade Data Analysis (HS Code 85 – Electrical Machinery)
Dashboard: electronictradedashboard.streamlit.app
Analytical dashboard exploring India's export trends in HS Code 85 (Electrical Machinery and Equipment) from 2016 to 2024. Includes data extraction from UN Comtrade, cleaning, trend analysis, volatility categorization, and country-wise insights for strategic trade policy and investment research.
- Multi-year export data analysis (2016–2024)
- Country-wise export volume breakdown
- CAGR, trendline regression, and volatility scoring
- Visual storytelling through custom graphs and charts
Global Rice Production Analysis
Kaggle • 2023
Analyzed 50,000+ records of rice production trends across countries from 1961 to 2021, identifying key patterns in production, yield, and area harvested.
Crop Production Statistics - India
Kaggle • 2023
Analyzed 300,000+ records of crop production across Indian states, focusing on yield patterns, seasonal variations, and regional productivity differences.
Agricultural Market Price Prediction
Personal Project • 2024
Built a machine learning model to predict agricultural commodity prices using historical data, weather patterns, and economic indicators with 85% accuracy.
Farm Management Dashboard
Freelance Project • 2024
Developed a Power BI dashboard for tracking farm inputs, outputs, and profitability metrics, helping farmers optimize resource allocation and increase yields.