Arvindsundaram S

Talent

BengaluruMember since 6 May 2026

PythonSQLGoPower BIQA ChecksReconciliationPandasNumPyData AnalysisForecastingData IngestionPostgreSQLMySQLFastAPIReporting OperationsTensorFlowFlaskLangGraphCrewAI

Hire this person

Send a job offer directly to this candidate

PythonSQLGoPower BIQA Checks

About

I build systems that turn raw data into decisions — at scale, in production, with real business impact.

As a Data Analyst & AI Engineer interning at Arthashastra Intelligence, I architect multi-agent AI platforms using LangGraph and CrewAI for global trade intelligence, and maintain ETL pipelines that process 1M+ records with PostgreSQL, FastAPI, and AWS. My work sits at the intersection of data engineering and applied AI — not prototypes, but deployed systems that automate insight generation end-to-end.

On the ML side, I've built deep learning pipelines for image classification (published research) and regression models achieving R² of 0.85+. My stack spans Python, Docker, MCP, and vector databases, and I'm increasingly focused on agentic AI — systems that don't just analyze data, but reason over it.

I'm currently completing my MCA and open to full-time Data Analyst and AI Engineering roles where the problems are hard and the data is messy.

Portfolio → https://arvind6374.github.io/portfolio/profile.html

Experience

Data Analyst Intern at Arthashastra Intelligence (2026-01 – Present)

Collected, organized, transformed, and analyzed 1M+ global trade records using Python and SQL, delivering clean and standardized datasets in PostgreSQL for dashboards, reporting, and business analysis.
Identified trends, anomalies, and data quality issues in complex datasets through validation, reconciliation, and QA checks, improving reporting accuracy and supporting reliable decision-making.
Built reporting automation workflows and FastAPI-based data services, collaborated with cross-functional stakeholders to resolve issues quickly, and delivered analytical solutions within project timelines.

AI Intern at Pantech Solutions (2023-05 – 2023-06)

Built Python-based ETL workflows for 10,000+ records using Pandas and NumPy, reducing manual cleaning effort by 40% through automated transformation, validation, and reporting-ready data preparation.
Analyzed structured datasets to identify patterns, inconsistencies, and exceptions, supporting reporting operations and improving the overall quality of business data outputs.
Optimized MySQL queries using indexing and query tuning techniques, enabling faster access to analytical datasets for dashboards, operational reporting, and stakeholder requests.