ARYAN SREEKUMAR

Trivandrum, Kerala 0+ yrs exp 52 · Fair

About

Analytically driven Economics postgraduate with five internships across banking, healthcare, and IT, delivering data analysis, business reporting, and process improvement in regulated and fast paced environments. Proficient in Python, SQL, Power BI, and advanced Excel with a consistent track record of cleaning and analysing large datasets, building management dashboards, and producing structured reports for senior decision makers. A proactive, detail oriented professional who works independently and collaboratively to deliver high quality outputs on schedule.

Skills & Expertise

No skills listed yet

Work Experience

Intern — Data Analysis & Reporting

State Bank of India (SBI)

May 2026 - Jul 2026

Developed Power BI dashboards from customer feedback data (200+ respondents) tracking KPIs used by branch managers in weekly performance reviews — demonstrating ability to translate raw data into clear, decision-ready management outputs. Conducted data validation, reconciliation, and anomaly detection across feedback datasets — ensuring accuracy and completeness before reporting in a compliance driven regulated banking environment. Produced the Customer Feedback Optimisation Report formally adopted for management-level branch tracking — communicating findings, gaps, and actionable recommendations to senior stakeholders.

Data Analyst Intern

Codtech IT Solutions

Jan 2026 - Feb 2026

Supported live data workflows including requirement documentation, quality assurance, testing, and structured reporting — contributing to end-to-end project delivery within a professional IT environment.

Analyst Intern

Zetheta Algorithms Pvt. Ltd.

Jan 2026 - Feb 2026

Applied SQL and Python-based analysis to business datasets — identifying inconsistencies, optimising data queries, and delivering structured analytical outputs within defined project timelines.

Data Analytics Trainee

MedTour Easy

Dec 2025 - Dec 2025

Cleaned, validated, and statistically profiled domain-specific healthcare datasets — extracting actionable insights and flagging data quality issues in line with defined analytical procedures.

Data Analytics Training & Internship

E&ICT IIT Guwahati / Coding Ninjas

Sep 2025 - Mar 2026

Executed end-to-end data analysis on US Healthcare Spending and CPI Inflation datasets using Python and SQL — sourcing, cleaning, and processing large multi-source datasets to identify trends, anomalies, and key business drivers. Delivered two structured industry reports covering full analytical pipeline from data quality checks and statistical modelling through to visualisation and final recommendations — meeting defined project milestones independently. Built reusable reporting pipelines and documented methodologies to support transparency, reproducibility, and process efficiency across deliverables. Proactively assimilated new tools and technologies (Python, SQL, Power BI, Gen AI) across the programme, demonstrating adaptability and a strong learning orientation.