About

Suresh Shanmugam is a Vice President of Data Science with over 15 years of experience in the field. He is currently working at Fidelity Investments, where he is responsible for improving products and services using data science. Suresh's expertise includes analytics, strategy, and products, specifically data analysis and interpretation, and development and implementation of data-driven products. He works closely with business partners to identify AIML opportunities, create technical requirements, transform large volumes of data into AI-driven insights, build solutions using cutting edge open-source tools and techniques, work across teams and implement ML strategy. Suresh has experience working with companies like Boomerang, Swiss Re, Birla Group, and Roc Capital. He manages teams of accomplished data scientists in AI Chapter for various business units. He is a hands-on leader with expertise in AI/ML, Open Source/Tech knowledge with experience in building algorithms and use cases. He has excellent business skills to manage and deliver complex projects driving significant value. Suresh's key skills include Data Science, Statistical Learning, Machine Learning, and AI. He is focused on Natural Language Processing (NLP), Time Series, Forecasting & Anomaly Detection problems. He is proficient in tools like Python, R, Scala, SQL, Linux, Git, AWS, Spark, Azure, and Data Warehouses. Currently, Suresh is the Vice President of AI/ML at Fidelity, where he manages the Product Manager - Olympus AI ML platform. He is responsible for building AI capabilities for the Olympus platform, enabling operations teams to leverage natural language processing and deep learning to reduce manual effort and impact business KPIs. He has a strong track record of building and establishing the vision for new products, creating proof of concepts, getting stakeholder buy-in, and building scaled solutions. Suresh has a PGP degree in Finance from Indian School of Business, a Master's degree in Business Analytics and Project Management from the University of Connecticut, and a Bachelor of Engineering in Electronics and Communications from the College of Engineering, Guindy. His tech stack includes ML, AI, NLP, Data Scientist, Senior Software Engineer, AWS, Deep Learning, Snowflake, Azure, Spark, SQL, BERT, Python, Pytorch, Scikit, product manager, Pandas, Neural Networks, MySQL, Postgres, Backend, Apache Airflow, Scala, Kubernetes, Tensorflow, Kafka, infra, and Apache Hive.