Shruti Srivatsan
Waterloo,ON
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Work History
Data Science and Advanced AI Coop
Toronto-Dominion(TD) Bank
05.2023 - 08.2023
- Developed package for automating Credit card attrition prediction using Graph Machine learning using Python libraries
- Tested data prediction algorithms based on historical data.
- Documented effective and replicable methods for extracting data and organizing data sources.
- Extracted and interpreted data patterns to translate findings into actionable outcomes
Project Trainee
Ministry Of Heavy Industries, Government Of India
08.2021 - 08.2022
- Worked on Graph Databases, Ontologies and Natural Language on Hospital and Manufacturing data
- Extracted and assessed data from databases to drive improvement of product development and business strategies and processes.
- Compiled, cleaned and manipulated data for proper handling.
- Analyzed large datasets to identify trends and patterns in customer behaviors.
Programming Training Analyst
Cognizant Technology Solutions, CTS
02.2022 - 06.2022
- Worked on Big Data technologies like Spark and Hadoop to develop a credit card management system and efficiently deployed on AWS EC2 server
- Compiled, cleaned and manipulated data for proper handling.
Research Intern
SSN College of Engineering
06.2021 - 07.2021
- Worked on Diagnosis of Lumbar Spinal Stenosis using Deep Learning under Dr Beulah and deployed the model using Docker containers
- Attended meetings and presentations to learn project details.
- Completed research, compiled data, updated spreadsheets, and produced timely reports.
AI Intern
Mind and Mom
09.2020 - 01.2021
- Developed 5 risk calculators for Miscarriage, C-Section, Infertility, Stillbirth and Gestational Diabetes using Python, deployed on Streamlit server
- Utilized data modeling and evaluation strategies to find patterns and predict unseen instances.
- Selected appropriate datasets and data representation methods.
Education
Master of Data Science And AI -
12.2023
Bachelor of Engineering - Computer Science and Engineering
05.2022
Skills
- Data Science
- Machine Learning
- Leadership Skills
- Statistical Analysis
- R
- Chatbot Development
- Audio Processing
- Deep Learning
- Python Programming
- Data Analysis
- Graph Machine learning
- C
- Natural Language Processing
- Linux
- Git
- AWS
- Data Visualization and Presentations
- Spark
- Structured Query Language (SQL)
- Java
- Data Analysis
- Tableau
- Big Data
- Technical Design Documentation
- Attention to Detail
Accomplishments
- Grace Hopper Celebration (GHC'23) Scholar (09/2023)
- Selected for Google Research India: Research Week (02/2022)
- Data Science Committee Member at Grace Hopper Celebration (GHC'21)
- Original Research Speaker at Grace Hopper Celebration India 2020
- Top 15 in HAC- Hackathon (08/2020)
Timeline
Data Science and Advanced AI Coop - Toronto-Dominion(TD) Bank
05.2023 - 08.2023
Programming Training Analyst - Cognizant Technology Solutions, CTS
02.2022 - 06.2022
Project Trainee - Ministry Of Heavy Industries, Government Of India
08.2021 - 08.2022
Research Intern - SSN College of Engineering
06.2021 - 07.2021
AI Intern - Mind and Mom
09.2020 - 01.2021
University of Waterloo - Master of Data Science And AI ,
Sri Venkateswara College of Engineering - Bachelor of Engineering, Computer Science and
Engineering
Projects and Publications
- Credit Card Attrition Prediction using Graph Machine learning (05/2023 - 08/2023)
- Multimodal Dementia Detection (04/2022 - 04/2023) : Multimodal approach using MRI images and speech data for detecting dementia
- Calorie Calculator (11/2022 - 03/2023): Developed a comprehensive calorie calculator application, utilizing Python web scraping for data acquisition, Streamlit for seamless interaction, and Hugging Face for deployment.
- Hospital Management System using Graph Databases (01/2022 - 06/2022)
- Body Mass Index Prediction from Facial Images (03/2021 - 10/2021)
- Activity Recognition in a Smart Environment (12/2021 - 12/2022) : Published in Springer: https://link.springer.com/chapter/10.1007/978-981-19-6004-8_13
- Early Diabetes Prediction (08/2020 - 06/2021) : Published in International Journal of Soft Computing(IJSC) http://ictactjournals.in/ArticleDetails.aspx?id=6606.
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