Data Analyst with 2+ years of experience working with business, market, customer, and digital-performance data.
I use Python, SQL, Excel, and BI tools to turn raw data into structured analysis, KPIs, dashboards, and actionable business insights. I'm also exploring practical AI/LLM applications in analytics, with a focus on reliable calculations, grounded outputs, and real business use cases.
Data Analysis: Python, pandas, SQL, Excel, Google Sheets Analytics: KPI Design, Customer Segmentation, Cohort Analysis, Campaign Analysis, Market & Competitor Analysis Visualization: Looker Studio, Power BI, Excel Dashboards Data Collection & Automation: REST APIs, Web Scraping, n8n Applied AI: LangChain, LangGraph, Langfuse, Structured LLM Outputs & Guardrails
An end-to-end analytics application that calculates business KPIs deterministically, compares performance periods, detects meaningful changes, and uses an LLM to generate grounded management summaries.
Python pandas FastAPI LangChain LangGraph Langfuse Streamlit
A customer analytics case study combining RFM segmentation, cohort retention analysis, revenue concentration, and business-focused recommendations.
Python pandas RFM Cohort Analysis Customer Analytics
An interactive Excel analytics project using data cleaning, formulas, PivotTables, slicers, purchase-rate analysis, and dashboard visualization.
Excel PivotTables Slicers Dashboarding Customer Analysis
A MySQL data-cleaning and validation case study covering data-quality checks, address standardization, deterministic deduplication, window functions, validation, and post-cleaning analysis.
SQL MySQL CTEs Window Functions Data Cleaning Data Validation
- Working as a Data Analyst across digital analytics, market analysis, and AI-enabled product initiatives
- Pursuing an M.Sc. in Management Information Systems
- Strengthening my analytical problem-solving, statistics, and applied AI skills