Mar 2022 – Apr 2022 · 1 mo

Sep 2020 – Mar 2022 · 1 yr 6 mos

• Developing and implementing advanced algorithms utilizing Machine Learning, Natural Language Processing and Deep Learning techniques to extract insights from diverse sources of structured and unstructured data to improve customer experience.
• Designing and deploying state-of-the-art models for customer complaints automation, leveraging conversational AI and real-time data to proactively identify and resolve issues, resulting in cost savings and improved customer satisfaction.
• Implementing predictive models for customer churn prediction to improve retention and customer lifetime value. Continuously iterating and optimizing models to improve performance and drive business impact.

Apr 2018 – Sep 2020 · 2 yrs 5 mos · Gurugram, Haryana, India

• As a data scientist, I am responsible for designing and developing cutting-edge tools that leverage the latest advancements in Natural Language Processing (NLP), Machine Learning (ML), Deep Learning, and Behavioral Psychology.
• My work involves extracting insights from a variety of sources, including US and non-US company filings, broker research, and news articles. I am also tasked with building models for real-time anomaly detection, conducting research and proof-of-concepts for NLP and ML-related applications in the investment and finance industries, and providing technical guidance on NLP and ML products and projects. My expertise in these areas allows me to effectively process large volumes of unstructured data and extract valuable information, such as alpha signals, from it.
• Additionally, I am experienced in using NLP/ML and behavioral psychology to support scenarios where known blind spots exist, utilizing robust statistics and machine learning on structured and unstructured datasets.

Jan 2015 – Apr 2018 · 3 yrs 3 mos · Gurugram, Haryana, India

• Developing and implementing advanced analytics solutions utilizing natural language processing, machine learning, and deep learning techniques to extract insights from diverse sources of structured and unstructured data.
• Designing and building predictive models for customer churn prediction, up-sell/cross-sell, health scores, and segmentation to improve customer retention and lifetime value.
• Creating models for supply vs demand forecasting, vendor value prediction, estimated order delivery time, and customer classification and clustering.
• Developing data science workflows and analytics frameworks using R, Shiny, and D3.
• Designing and implementing a classifier for news articles for content-based advertising targeting and a recommendation engine for e-commerce sites using collaborative filtering with ALS.

Jan 2014 – Jan 2015 · 1 yr · Mumbai Area, India

• Building and implementing predictive models for lead generation using natural language processing, machine learning, and semantic technologies
• Conducting data mining, classification, and entity extraction from web-crawled data
• Analyzing and interpreting data to inform business decisions and statistical modeling
• Utilizing open-source data sets such as Freebase, Yago, and DBpedia to enhance predictive capabilities
• Continuously monitoring and improving the performance of predictive models to optimize lead generation results.

Jun 2012 – Dec 2013 · 1 yr 6 mos

• Developed a comprehensive framework for document-level sentiment analysis utilizing advanced techniques in feature extraction, selection, and ranking, resulting in an optimized machine learning model with a high F1-score.

Jan 2012 – Jun 2012 · 5 mos

• PureAnalyzer
• It is a Social Media Marketing tool that analyzes public sentiment of a company, company product, competitor, competitor product, and represents the information using various graphs and reports. Similar tools include Radian 6 and Social Mention.