Raj Desai

About Raj Desai

Raj works as a Senior Data Scientist at Blend360 for a year having experience in …

Experience

1. Senior Data Scientist

   Blend

   Jun 2021 — Present · US

   Built XGBoost model with features to predict fraud detection using iterative approach for training and tuned hyperparameters with Optuna to keep track of best models and hyperparameters • Analyzed financial data of 40+ key tables with ~ 4 billion records using HiveSQL and PySpark to decide modelling timeframe and feature engineering for modelling over frequency, recency and monetary• Generated good/bad transactions v/s summaries for different segments to decide model segmentation criteria using reusable functions with PySpark saving 27% runtime- • Built Logistic Regression response models with 850 features to predict customer’s response to coupons having 220 lift• Built Linear Regression revenue models with 220 features to predict revenue generated having 187 lift • Utilized recursive feature elimination and lasso selection techniques for feature selection to improve lift of models - • Built Random Forest and Decision Tree classifier models with 27 features to predict patient attrition with 87% accuracy • Designed several usecases based on retention, acquisition and profitability and pulled data of about ~5 billion records from 10 sources to size number of patients and scripts • Developed resume parser using Spacy, nltk, StanfordNERTagger to parse information like name, education, email, contact with 77% Accuracy.• Researched and presented complex NLP algorithms like BERT, GPT-2,GPT-3, etc. • Deployed word2Vec model for retail grocery chain using FastAPI, Docker, AWS ECR and EC2 to recommend products to customers.

Education

• Syracuse University

  Master's degree, Applied Data Science

  2019 — 2021

• K J Somaiya College of Engineering Vidyanagar Campus Vidyavihar Mumbai-400 077

  Bachelor of Engineering - BE, Computer Science

  2015 — 2019