Suneel Patel

Data Scientist

TaskUs•  October 2019 - Present

Machine Learning & Deep Learning Project Management ● Developed and directed model development, validation, testing, and deployment of Machine Learning (ML) products and applications. ● Build application to automate the manual ticket scrubbing process to save time and cost of resources ● Tested and implemented Linear and Logistic Regression Models on different KPIs (CSAT, eNPS, AHT etc) ● To support WFM and Operation Team by forecasting ticket volume using Time Series Forecasting Model Statistical Modelling Implementing statistical modelling techniques e.g., descriptive statistics, hypothesis testing and retrieval processes on a large amounts of data to identify trends, patterns and other relevant information Business Intelligence (BI) Analysis ● Understand business challenges and goals of clients to formulate approaches for data analysis and model creation to support their business decision making and maintain their KPI Performances. ● Discovering insights from massive amounts of structured data to shape and meet specific business needs using different business intelligence tools. ● Analysing and Monitoring the KPI dashboards and discovering ways to improve their performance. NLP: Text Mining, Topic Modelling and Sentiment Analysis ● Analysed text data using NLP tools and techniques, mostly did text summarization, text classification, topic modelling, named entity recognition and sentiment analysis