Puneet Jindal

• Responsible for implementation of Revenue management across multiple products using forecasting techniques such as ARIMA, Holts Winter and ML techniques such as KNN, RF, XGBoost, NN with backpropagation • Sentiment Analysis and Text Mining using NLP with deep learning algorithms such as RNN(LSTMs) and Topic modeling techniques such as LDA, TensorFlow models textsum, syntaxnet and FB fastText. This work is in POC stage. • Trainings on Python for day to day machine learning and NLP with deep learning

• Helped teams track the health of our features and platforms with the help of exploratory data analysis • Setup the data pipeline • Communicate the analysis results in a clear and effective manner to CEO and BU heads with Tableau • Used Machine learning algorithms such as Naïve Bayes, RF, SVM to draw insights from the text data classification • Used Statistical models and predictive modeling • Used naïve forecasting methods to forecast business growth

• Lead the Business Activity Monitoring and Reporting team • Established the Data Analytics architecture for Automated Reporting • Managed the outsourced data analytics projects • Designed and developed Warehouse Management System/ Ecommerce Fulfillment System

Roles and Responsibilities • Worked as requirements analyst for the one of the key projects of the Bank • Java web services Developer for Canadian Bank

Statistics, Machine Learning, Pricing Analytics, Forecasting Analytics, Operations Research, Financial Modelling, Customer Analytics

Computer Science, Data Structures and Algorithms, Operating Systems, Programming, Python, R, Software Development