Ishita Chaudhary Email & Phone Number

Projects -● Managing 6-person team for strategically segmenting customer base utilizing clustering and classification on 2M+ customers, enabling targeted promotions to boost engagement and conversion rate ● Improved participant gains by 29% by utilizing K-prototype clustering and predictive modeling to evaluate family stabilization plan impact and distinguish between active and inactive participants ● Used time series models, XGBoost and LightGBM to forecast store sales of retail goods for next 28 days, minimizing error rate by 37% ● Performed causal and cluster analysis on 6.3M job applications to examine the effect of maternity legislation on women’s participation in IT; identified 2 key drivers and presented findings and implications to leadership ● Developed classification models using logistic regression, ensemble, SVM, XGBoost for spam e-mail detection, minimizing false positives and need for manual review of misclassified emails ● Utilized decision tree to determine key drivers of regional disparities in performance for an educational testing firm; created Tableau dashboard and presented recommendations to streamline resources for 600K candidates and 1M+ tests taken over 2 years● Estimated causal effect of sponsored ads on click-through-rate for an online retailer; measured ROI of ~180% for sponsored ads over organic ads using Difference in Differences in R

Gurugram, Haryana, India

Worked as Senior Analyst in the credit and fraud risk-transaction monitoring team.● Designed and formulated transaction monitoring (TM) rule typologies and detection criteria on SQL for consumers, commercial businesses, and merchants; established thresholds to flag fraudulent transactions ● Boosted fraud-detection accuracy by 14% by optimizing TM rules through statistical analysis techniques

Bengaluru, Karnataka, India

Responsible for leading origination and behavior model developments and validations with US and Canadian Banks.● Managed team of five to develop origination model for bank's credit cards portfolio running generalized additive models in python, improving acquisition rate by 15% and profit by $5M ● Leveraged machine learning (GBDT) to construct revenue and attrition models; supported client in devising profitable strategies and bolstered revenue by 10%; received extraordinary impact award ● Built scoring models factoring in bureau attributes, past behavior and performance data to predict credit card account behavior minimizing likelihood of defaults by 12% ● Coached 18 new analysts through three in-house training workshops on FICO’s modeling techniques

Bengaluru, Karnataka, India

Started my professional career with FICO in global analytics delivery team as Analytics Consultant I. Built predictive models, specializing in credit scorecard development for consumer lending products such as credit cards and loans.● Delivered 10%-25% reduction in credit losses by employing logistic regression and segmented ensemble models (SEM) to build debt collection scorecards ● Collaborated across multi-regional teams to upgrade legacy Python scripts for scorecards; increased computational efficiency of existing scripts by 16% ● Tailored FICO’s proprietary risk models for 10+ small businesses and enhanced Gini coefficient by at least 5%

Master Of Science - Ms, Business Analytics

Comprehensive, cutting-edge 12-month curriculum Analytical Front - Statistics Predictive Analytics Exploratory Data Analytics Causal.

Master Of Arts - Ma, Economics

Bachelor Of Arts - Ba (Hons), Economics