About

Shikhar Gupta is a Full Stack Data Scientist with a specialization in Marketplace Lending and Digital Lending Strategies. With over 4.86 years of relevant experience, he is proficient in Python, PySpark, Big Data Analytics, Machine Learning, Automation, SQL, Deep Learning, Credit Cards, Loans, Mortgages, and Digital Lending. He is a certified Data Science Professional and has a Bachelor's degree in Environmental Engineering Technology/Environmental Technology from the Indian Institute of Technology (Indian School of Mines), Dhanbad, and is currently pursuing a Master's degree in Data Science and Engineering from Birla Institute of Technology and Science, Pilani. Currently working as a Senior Data Scientist in Franklin Templeton, Shikhar is involved in developing Digital Credit/Risk Strategies and establishing Big Data Pipelines for the Digital Lending Strategies (Unsecured Consumer Credit) team. His roles and responsibilities include Credit Risk Modeling, Data Visualization and Insights, and Research and Deployment of high-level strategy for future investments in digital assets. Previously, Shikhar worked with Citi as a Data Scientist II, where he was responsible for driving Machine Learning and Deep Learning initiatives & strategies for the Acquisition, Cross-Sell & Up-Sell of Citi Credit Cards. He also established successful partnerships with stakeholders, mentored and motivated budding Data Scientists to achieve business goals through quantitative analysis, and conducted Site level Machine Learning and R Programming Training. Before Citi, Shikhar worked with Subex as a Data Scientist, where he provided high-quality analytical solutions and built statistical models/analysis for clients, including Customer Signature/RFM Analysis, Customer Retention/Survival Modelling, Cellsite Analytics, Churn/Acquisition Modelling, Anomaly Analytics, Call Network Analytics, Call center analytics, Spatial Modelling, and Association Rule Mining. Shikhar's Tech Stack includes Research Scientist, Data Scientist, Python, ML, Big Data, SQL, Deep Learning, Hadoop, NLP, Spark, Neural Networks, XGBoost, Random Forest, Databricks, Snowflake, test, Azure, Frontend, Backend, Senior Software Engineer, and Apache Hive. With a passion for learning new things and sharpening his skills, he is always looking for more challenges in the field of decision sciences.