Customer Segmentation — RFM Analysis
Approximately 235K transaction records
Customer-level Recency, Frequency and Monetary analysis to understand purchasing behaviour and build practical customer segments.
I bring approximately 9 years of real operations, quality, manufacturing and textile-export experience together with hands-on Power BI, SQL, Python and Excel analytics capability.
Based in Tamil Nadu · Open to Chennai, Bengaluru and remote opportunities
My professional experience is in operations and quality; my analytics portfolio demonstrates the tools and problem-solving capability I have built alongside that career. I keep commercial experience and portfolio/self-learning work clearly separated.
Purchase orders, buyer communication, quality follow-up, production coordination, sample approvals, inspection, shipment coordination, operational trackers and reconciliation.
Power BI semantic thinking, DAX, Power Query, SQL analysis, Python/Pandas EDA, Excel reporting, Tableau and Streamlit applications.
Each project is presented with a business question, data understanding, analysis approach, KPI logic and limitations. Metrics are shown only where verified.
Approximately 235K transaction records
Customer-level Recency, Frequency and Monetary analysis to understand purchasing behaviour and build practical customer segments.
1,470 employees · 237 attrition records · 16.1% attrition rate
Python/Pandas exploratory analysis of workforce characteristics and attrition patterns, with careful separation between observed patterns and causal claims.
2,399 leads · 995 WhatsApp · 446 Instagram
Dashboard-based analysis of lead-source performance using documented channel figures without inventing conversion or ROI metrics.
World Bank GDP data · 1960–2022
Interactive Python application with country and year-range selection, time-series visualization and GDP metrics.
119,390 bookings · 44,224 cancellations · ~37.0%
Exploratory analysis of cancellation behaviour, ADR, hotel type, market/channel and time patterns using Python/Pandas.
Power BI · DAX · Power Query · semantic-model thinking · KPI design · dashboard storytelling · drill-down and exception-focused reporting.
Joins · CTEs · window functions · aggregations · filtering · business-question analysis · data validation and reconciliation.
Python · Pandas · EDA · Jupyter · Streamlit · data cleaning · validation · trend analysis and analytical communication.
Excel · KPI/MIS reporting · quality analysis · operations reporting · stakeholder communication · textile export and manufacturing domain knowledge.
Target locations: Chennai · Bengaluru · Remote
I am seeking a dedicated analytics/BI opportunity where strong business-process knowledge can accelerate the move from operational data to reliable reporting and actionable insight.
For Data Analyst, BI, Power BI, MIS/reporting or operations-analytics opportunities, email me or connect on LinkedIn.