# Shaantanu Bhakuni

> Software Engineer (Quant/Risk) @ Bank of America | Financial Engineering

Location: United States, United States
Profile: https://flows.cv/shaantanu

## Work Experience
### Software Engineer @ Bank of America
Jan 2024 – Present | New York City Metropolitan Area

### Financial Engineer @ Edelman Financial Engines
Jan 2022 – Jan 2024 | California, United States

### Data Science Analyst @ The Janssen Pharmaceutical Companies of Johnson & Johnson
Jan 2021 – Jan 2022 | New York City Metropolitan Area

### Research Assistant, Hanlon Financial Systems Lab @ Stevens Institute of Technology
Jan 2020 – Jan 2021 | Hoboken, New Jersey, United States
• Assisted in day to day operations and research projects of the university's financial data laboratory utilizing python, SQL and R programming language
• Queried, retrieved and processed financial datasets from Bloomberg, WRDS, Reuters using PostgreSQL and Python	             
• Contributed to Credit Rating Change Prediction Research Project related to building machine learning classification models for predicting publicly listed company's financial rating
• Developed a web scraper to get 10K text forms and Utilized balanced sheet data to build ensembled Artificial Neural Network and NLP models to achieve high test set accuracy

### Data Analyst @ DHL Global Forwarding
Jan 2019 – Jan 2020 | Greater New York City Area
• Worked on the development and implementation of new quantitative model(Smart Pricing) which   focuses on the creation of winning pricing proposals
• Analyzed business data to develop Key Performance Indicators(KPIs) and built dashboards to visualize   important trends and goals for decision making
• Assisted in automation of various time consuming and repetitive tasks using Python and VBA                     
• Merged large amount of data sources together and built analytics reports utilizing it
• Developed Qlik Sense dashboards to create real time data visualization for DHL’s Reporting Platform

### Research Assistant, Hanlon Financial Systems Lab @ Stevens Institute of Technology
Jan 2019 – Jan 2019 | hoboken, New Jersey
Market Liquidity Research Project(Python Development, Deep Learning)
• Manipulated and cleaned Thomson Reuters time and sales data (nanosecond frequency)                                      
• Identified and designed low frequency liquidity measures adaptable to higher frequencies data
• Built an Automated python code to find all liquidity measures with particular dates and frequencies
• Developed a model using Recurrent Neural Networks to predict the direction of future liquidity

### Investment Data Analyst @ Prime Capital Services Private Limited
Jan 2017 – Jan 2018 | New Delhi Area, India
Roles and Responsibilities: 
• Developed and maintained rich, interactive and live dashboards that communicated identified
  trends and patterns to clients using  Tableau and Advanced Excel                               
• Assisted in producing client meeting materials and presentations on the economy, investment 
  portfolio performance  and individual investment manager performance
• Researched equity and analyzed risk of various financial securities within clients’ portfolio
• Provided tailored solutions for portfolios of 50+ High Net Worth Investors to reduce the risk exposure
• Communicated insights from qualitative and quantitative analyses to technical and non-technical
   audiences


## Education
### Master of Science - MS in Financial Engineering
Stevens Institute of Technology

### Bachelor of Technology - BTech in Electronics and communication
Bharati Vidyapeeth's College of Engineering

### CBSE-AISSCE(Higher Secondary Examination in Science(PCM)
Sachdeva Public School,Pitampura, Delhi


## Contact & Social
- LinkedIn: https://linkedin.com/in/shaantanubhakuni

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Source: https://flows.cv/shaantanu
JSON Resume: https://flows.cv/shaantanu/resume.json
Last updated: 2026-04-05