Open to opportunities

ARCHANA PANIGRAHY

@archanapanigrahy

Message

I build banking customer analytics solutions that improve acquisition, segmentation, and data quality.

India

Message

What I'm looking for

I'm looking to apply Python, SQL, and business analytics to customer, marketing, or BFS problems, translating data into actionable insights while collaborating closely with business and product stakeholders.

At HDFC Bank, I analyzed roughly 600K transaction records and built K-Means and Gaussian Mixture Model segmentation that consolidated 15+ personas into 10 actionable customer segments for targeted marketing, acquisition, and cross-sell.

I also designed an affluence-scoring framework combining banking, property, and electoral data, identifying 10+ high-potential localities to support acquisition, branch expansion, and location planning across Nagpur and Bhopal.

I've developed NLP-based customer matching pipelines using Python, SQL, RapidFuzz, Levenshtein score, and cosine similarity, improving record-matching accuracy by approximately 30%.

I translate business asks into analytics problem statements and communicate findings through PowerPoint presentations, Excel dashboards, and business reports. My work also includes fraud-risk analysis and digital marketing analytics, including funnel analysis, channel performance, and budget optimization.

Experience

Work history, roles, and key accomplishments

Data Science Intern

HDFC Bank

Jan 2026 - Jul 2026 (6 months)

Analyzed ~600K transaction records for customer segmentation, built clustering models, and developed an affluence-scoring framework for acquisition strategy. Improved customer matching accuracy by ~30% using NLP and fuzzy matching techniques.