My Work Life!

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

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

Technology Analyst
New York, NY (Jul 2019 - Present)

I will soon join Detusche Bank full-time as a Technology Analyst!

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

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 React UI to demonstrate various Deep Learning models for dermatological disease diagnosis

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

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

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!

Summer Fellowship Intern
Chennai, India (May 2016 - Jul 2016)

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
Tools and Technologies
Machine Learning
Data Science
Deep Learning
Computer Vision
Web Dev

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