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My Work Life!

I aspire to work as a Data Scientist / Machine Learning Engineer!
To that end, I'm constantly working on improving my skills and achieving the right balance in the fields of Data Engineering, Machine Learning, Deep Learning, Data Analytics and Information Visualization!

Click the buttons below to know more about my work life so far!

all
full-time
internships
on-campus

Deutsche Bank Machine Learning Engineer / Associate Engineer
New York, NY (Feb 2020 - Present)

Tech Stack: Python, Flask, OpenShift

I currently work on the Trade Finance & Lending team in Corporate Bank Technology.
I have worked on the following:

  • Driving the development of an OCR service from scratch (in Python); a high-impact revenue generating project with significant reduction in turnaround time and manual effort, in the Trade Finance & Lending team
  • Implemented Machine Learning-aided filter selection and smart template matching for automated pre-processing of documents, along with NLP-backed post-processing techniques to further improve OCR quality and minimize human intervention

Deutsche Bank Data Engineer / Software Engineer
New York, NY (Aug 2019 - Feb 2020)

Tech Stack: Java, Spring Boot, Kafka, SQL, ReactJS, OpenShift

While on the Trust & Agency Services team in Corporate Bank Technology, I worked on the following:

  • Developed a generic database to database transfer service, using Java Spring Boot and SQL Server, and Kafka for exception logging
  • Enhanced a data reconciliation service, allowing it to support multiple recon types (file-file, file-database and database-database)
  • Created a service to serve REST API endpoints for several projects in the realm of the Trust & Agency Services team
  • Built an interactive dashboard, using React, to visualize and correlate incoming payments from various sources

Curai Inc. Software Engineering (Machine Learning) Intern
Palo Alto, CA (Feb 2019 - Apr 2019)

Tech Stack: Python, PyTorch, Flask, ReactJS, Google Cloud Platform

Curai is a Silicon Valley startup that aims to scale the world's best healthcare for every human being! At Curai, I did the following:

  • Built a Suggest Diagnoses feature with Deep Learning-based dermatological disease diagnosis in First Opinion to aid doctors with diagnosis
  • Implemented a Next Question flow to determine the next question to ask a patient with Deep Learning-based image differential as a prior
  • Trained a Rash vs. Neoplasm classifier using PyTorch, that achieved 90% accuracy on dermatologist-annotated test images, to enable triaging
  • Developed a reusable image annotation tool and a ReactJS UI to demonstrate various Deep Learning models for dermatological disease diagnosis

Deutsche Bank Technology Analyst Intern
New York, NY (Jun 2018 - Aug 2018)

Tech Stack: Python, Flask

In the Chief Data Office (CDO) at Deutsche Bank, I worked on the following:

  • Applied Natural Language Processing in Python to map data attributes based on similarities in their descriptions, toward automating data lineage
  • Performed sentiment analysis of news articles to analyze the correlation of sentiment with stock trend; built a Flask web app to demonstrate
  • Reviewed the Machine Learning capabilities of DgSecure for the detection of personally identifiable information (PII) in unstructured data, toward GDPR compliance

New York University Teaching Assistant, Grading Assistant
New York, NY (Nov 2017 - May 2019)

I was a Teaching Assistant at the NYU Tandon School of Engineering for these graduate courses:

  • Information Visualization (CS-GY 6313) - Spring '19
  • Deep Learning (CS-GY 9223-E) - Spring '18
  • Big Data Analytics (CS-GY9223-G) - Fall '17

I was a Grading Assistant at the NYU Center for Data Science (CDS) for these graduate courses:

  • Deep Learning (DS-GA 1008) - Spring '18, under Prof. Yann LeCun
  • Intro to Machine Learning (DS-GA 3001) - Fall '18
  • Programming for Data Science (DS-GA 1007) - Fall '18

In Fall '17, I also worked at the NYU Kimmel Center for University Life as an IT and Customer Support Assistant!

Indian Institute of Technology (IIT) Madras Summer Fellowship Intern
Chennai, India (May 2016 - Jul 2016)

Tech Stack: MATLAB

In the Visualization and Perception Lab at IIT Madras, I implemented a Content-Based Image Retrieval (CBIR) system in MATLAB, using Computer Vision and Machine Learning techniques

Programming Languages
Python
SQL
Java
R
MATLAB
Tools and Technologies
Machine Learning
Data Science
Deep Learning
Tableau
Computer Vision
NLP
Flask
Plotly Dash
Web Dev
Cloud

Deep Learning Specialization
deeplearning.ai, Coursera (Sep 2018)
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Machine Learning
Stanford, Coursera (Apr 2016)
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Introduction to Python for Data Science
Microsoft, edX (May 2016)
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Introduction to R for Data Science
Microsoft, edX (Jun 2019)
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Introduction to Corporate Finance
Wharton School, University of Pennsylvania, Coursera (May 2018)
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HTML5
W3C, edX (Jul 2015)
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