Fed-Watching: Reading the minds of Central Bankers
"Can the power of NLP produce valuable insights from the arguably encrypted words of the policy-making arm of the Federal Reserve – FOMC"
11 Dec, 20
Get to know me
About Me
Who am I?
I'm Amruth Raghav, a Student, Software and Machine Learning Engineer
I am a senior at The University of Hong Kong pursuing a Bachelors in Decision Analytics and Finance. I have a strong passion for data and my dream is to use data to empower business leaders, including myself, to make smarter and data-driven decisions.
Name:
Amruth Raghav Gopalakrishnan
Email:
University:
The University of Hong Kong (HKU)
Major:
BSc in Decision Analytics & Finance
Below are some of my skills
Skill Set
Full-Stack Web Application Developer
Prior experience in using React.js and Node.js alongside other backend tools
Mobile App Developer
Fluent in React Native and Flutter to build native mobile apps
Business Intelligence Tools
Carrying out Data Mining and Information Retrieval using Tableau, PowerBI and SalesForce
ML and Deep Learning
Designing and Training neural networks and using TensorFlow and Keras for various tasks
NLP Specialist in Finance
Developing and Training RNNs and Transformers in analysing 10-K, 10-Q and FOMC text documents
Portfolio Manager and Value Investor
Actively manage my own portfolio by investing in financial instruments
Selected Experience
Interships
JP Morgan Chase & Co.
Campus Ambassador and Software Engineer InternWorked alongside HR in helping the recruitment of interns for different programmes. I interned under the Technology Team for Asset & Wealth Management LOB where we build the leading and cutting edge tools for our portfolio managers to maintain their assets.
Swiss Re
Acturial Analyst InternResponsible for generating reports on a different basis(USGAAP, STAT & EVM) and its corresponding markets. Building reconciliation and reconsolidating applications run in order to automate the entire process of reconciliation from different data sources. The programs were built using python and R. This helped in reducing the time allocated from several days into a matter of minutes. Preparing quarterly summary presentation in terms of Line of Business and Source of Earnings for market owners to present in cross-functional groups team meetings.
Elkay Interior Systems
Summer IT InternBack-end database management for ERP software. Analyse & perform data mining in order to predict future sales using R, Tableau & Power BI. Predicted the future sales of the Elkay products by building a regression model on 60,000 historical transactions. Worked on building an NLP System to convert margin summaries to SKUs in the ERP software database.