Anurag Hambir

Data Scientist @ Credit One Bank

About

I am a Data Scientist with over 6 years of experience in Data Science and engineering. I recently completed my Master's degree in Data Science at Indiana University Bloomington in May 2023 where I learned advanced skills in machine learning, data visualization, and cloud computing. Across my professional career, I have managed and implemented various data science projects involving large structured and unstructured data sets, using tools and techniques such as Python, PySpark, SQL, NoSQL, Kafka, Graph Neural Networks, and Large Language Models. I enjoy working with diverse teams and solving complex problems that have a positive impact on the society. I am eager to apply my skills and knowledge to new challenges and opportunities, and to contribute to the innovation and growth of the data science field.

Country

United States

City

Las Vegas

Industry

Information Technology & Services

Skill

Large Language Models (LLM), Object-Oriented Programming (OOP), Data Structures, Algorithm Design, Elasticsearch, Artificial Intelligence (AI), Natural Language Processing (NLP), PySpark, Hive, Amazon Web Services (AWS), PyTorch, XGBoost, Big Data , Recommender Systems, Data Engineering, Cloud Computing, Statistics, Big Data Analytics, PostgreSQL, Data Science

Experience

Data Scientist

Credit One Bank

2023-11 - Present · 2 yrs 11 mos

Las Vegas, Nevada, United States

Data Scientist

Social Science Consulting LLC

2023-8 - 2023-11 · 4 mos

Bloomington, Indiana, United States

• Employed advanced large language models (BERT and RoBERTa) in conjunction with PyTorch (Python) on a 300,000-text data set to create precise contextual word embeddings for generating personalized recommendations • Designing and leading the development of Graph Neural Network-based Recommendation system development (GraphSAGE, GATConv), enabling personalized foundation suggestions for grant recipients, and promoting reciprocal recommendations

Data Scientist

ProMazo

2022-6 - 2022-12 · 7 mos

United States

• Worked on the development of a customer retention model using Python for a Fortune 500 banking and insurance client, boosting the F-1 score by 70% through the XGBoost model and genetic algorithm, resulting in projected savings of $269,000 from retained customers • Utilized SQL and Snowflake to add new features to the Attrition model • Optimized and functionalized LSTM model for predicting the percentage of clients who churn

Data Scientist

HT Media Group

2020-7 - 2021-6 · 1 yr

India

• Managed various data projects involving large unstructured data sets, while offering guidance and mentorship to a team of engineers. • Designed and implemented ETL pipelines for crawling data from different sources and stored them in MongoDB(NoSQL) database. • Built and deployed a recommendation engine for the OTTPlay application.

Data Engineer

Persistent Systems

2018-8 - 2019-11 · 1 yr 4 mos

Pune, Maharashtra

• Implemented a data pipeline using PySpark to extract and analyze sentiments and entities from clients’ email data, employing Stanford’s CoreNLP library and SpaCy. • Processed and analyzed email data stored in Hadoop, through PySpark and stored the results in Hive tables. • Improved the performance of the data pipeline by integrating Kafka, reducing the total processing time by 50%.