Abhishek Gupta
About Abhishek Gupta
Abhishek Gupta is a Senior Data Science Analyst in Corporate Actuarial at AXA XL, with a strong educational background in Mathematics from Delhi University and Madurai Kamaraj University. He possesses extensive experience in machine learning, data analysis, and database management, utilizing various programming tools and platforms.
Work at AXA XL
Abhishek Gupta serves as a Senior Data Science Analyst in the Corporate Actuarial division at AXA XL, a division of AXA. He has been in this role since 2021, contributing to various data science initiatives. His responsibilities include analyzing complex data sets and deploying machine learning models to support actuarial functions. He operates from Gurugram, Haryana, India, and leverages his expertise in data analytics to enhance decision-making processes within the organization.
Education and Expertise
Abhishek Gupta holds a Bachelor of Science in Mathematics from Delhi University, which he completed from 2012 to 2015. He furthered his education by obtaining a Master of Science in Mathematics from Madurai Kamaraj University between 2016 and 2018. His academic background has equipped him with a strong foundation in mathematical concepts, which he applies in his data science career. He is proficient in SQL Server and MySQL for database management and has extensive experience with machine learning techniques.
Background in Data Science
Prior to his current position at AXA XL, Abhishek Gupta worked as a Data Scientist at Polestar Solutions & Services India Pvt. Ltd. from 2018 to 2021. During his tenure, he gained experience in manipulating and analyzing high-volume, high-dimensionality data from various sources. His work involved utilizing a range of analytical and statistical techniques, which laid the groundwork for his current role in corporate actuarial data science.
Technical Skills and Tools
Abhishek Gupta possesses a diverse skill set in data science, particularly in machine learning and deep learning. He is proficient in deploying models using platforms such as Heroku and AWS EC2. His technical toolkit includes a variety of Python libraries, including Sklearn, Numpy, Pandas, Matplotlib, Seaborn, NLTK, Spacy, Keras, and Tensorflow. He also utilizes tools like Anaconda, Jupyter Notebook, and Spyder IDE for data science projects, enhancing his ability to conduct thorough data analysis.
Machine Learning and Statistical Techniques
Abhishek Gupta has experience with various machine learning techniques, including linear regression, logistic regression, decision trees, random forest, clustering, and support vector machines. He is familiar with natural language processing tasks such as language modeling, named entity recognition, and topic modeling. Additionally, he employs analytical and statistical techniques such as hypothesis testing, ANOVA, probabilities and distribution, and dimension reduction in his work.