Chandana Srinivasa
Software Engineer II @ American Express
About
As a Graduate Computer Engineering student at New York University with an academic and professional journey encompassing Machine Learning, Data Engineering, and Analytics, I believe that technology has the power to drive social and environmental change, and as an advocate for ethical data practices, I’m committed to using data for good. In addition to my technical pursuits, l enjoy reading and my plan for the future is to open a book store with an in-built coffee shop. If you share my vision for using technology and data to create positive change, I would love to connect and explore opportunities to collaborate. Feel free to contact me at - cs7074@nyu.edu
United States
Phoenix
Computer Software
API Testing, System Testing, Splunk, docker, Google Earth Engine, JavaScript, Selenium, Data Structures, Troubleshooting, Data Manipulation, Optimization Techniques, Analytical Skills, Matplotlib, Technical Support, Pivot Tables, Data Analysis, Software Testing, Thinking Skills, Computer Engineering, Analytics
Experience
Software Engineer II
American Express
Phoenix, Arizona, United States
Search, voice bots @ Amex
AI Analyst
3UM
Research Assistant - NLP and Data Science
Cognitive Development Lab
New York City Metropolitan Area
Supervisor: Andrei Cimpian; PhD Candidate: Aashna Poddar
Summer NLP Research Intern
Cognitive Development Lab
New York City Metropolitan Area
Course Assistant
NYU Tandon School of Engineering: Graduate School
New York, United States
Course Assistant for EL-GY 9163: Machine Learning for Cybersecurity
GSTEM CA
NYU Courant Institute of Mathematical Sciences
New York, New York, United States
SWE
Accenture Research Market
Bengaluru, Karnataka, India
Artificial Intelligence Intern
Tequed Labs
Bengaluru, Karnataka, India
1) Developed an advanced machine learning model to accurately forecast state-wise COVID-19 death rates in India, leveraging the Linear Regression algorithm. 2) Successfully deployed the COVID-19 prediction model on a Streamlit-based platform, creating an interactive, user-friendly website.
Machine Learning Intern
Spacept
1) Developed the first iteration of a semi-supervised algorithm to detect oil spills by analyzing changes in the ocean's surface using PCA and K-means clustering techniques. 2) Utilized Python for the implementation and JavaScript for acquiring satellite images from Google Earth Engine. 3) Successfully processed a large dataset of satellite images covering a 5 year period in the region near Mauritius to detect potential oil spills in the ocean. 4) Showcased the capability of using Machine learning techniques to analyze remote sensing data for environmental monitoring.
Machine Learning Intern
TheSmartBridge
1) Worked on developing a model that can predict the onset of chronic kidney disease by analyzing a patient's medical data. 2) Utilized the decision tree algorithm to find patterns and correlations in the data, which was then used to create a predictive model. 3) Implemented the model in a user-friendly web interface using Flask, HTML and CSS, which allows doctors and medical staff to easily access and use the model. 4) Showcased the capability of using machine learning techniques in healthcare to improve patient outcomes and treatment.
Education
New York University
Computer Engineering
Relevant Coursework: Machine Learning, Computing Systems Architecture, Real Time Embedded Systems, Deep Learning, Big Data, Systems Engineering, Database Management Systems, Network Security
Visvesvaraya Technological University
Electrical, Electronic and Communications Engineering Technology/Technician
Chandana Srinivasa's Contact Information
Phone
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