Esilin John Biju

Data Analyst Intern

Edgenuis Skillfied Mentor Pvt. Ltd.

Jul 2026 - Aug 2026

Engineered an end-to-end data pipeline to ingest, clean, and preprocess a bank marketing dataset of over 41,000 customer records, using Python (Pandas, NumPy) to handle missing values and optimize data structure for modeling. Conducted Exploratory Data Analysis (EDA) using Seaborn and Matplotlib to uncover critical customer segments, identifying that specific age groups and communication channels (cellular vs. telephone) yielded significantly higher term deposit conversion rates. Constructed and optimized a Logistic Regression model using Scikit-Learn to predict customer subscription likelihood, achieving a 90.14% overall accuracy while implementing scaling and one-hot encoding pipelines. Uncovered a critical operational insight demonstrating that term deposit conversion rates dropped by nearly 50% after the second customer contact, enabling the marketing team to reduce cellular outreach costs and save time. Quantified feature importance from model coefficients, identifying economic indicators (emp.var.rate and cons.price.idx) and specific seasonal months (March, December) as the strongest predictors for successful marketing campaigns.