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Work Experience
Software Engineer
EY• December 2019 - Present
● Building Python based modules interacting with REST APIs and SQL that assist in functionality for Atom, EY’s proprietary software asset management platform. ● Contributed web crawlers written using the Scrapy framework to collect and format data from global state and national bulletin websites for the EY Compliance web crawling utility. ● Researched, constructed a blueprint and presented a proof-of-concept of the various approaches while approaching the most optimum solution for an NLG engine that included appropriate query and template mapping to be used as part of a chat bot to aid in providing a descriptive representation of tabular data. ● Presented a feasibility analysis and a PoC of Fuzzy Address Search or arriving at a complete address of a location given an incomplete/erroneous input of an address within the limits of the libraries used.
Intern
EY• January 2019 - April 2019
● Presented a PoC on Predictive Maintenance of Trucks using a kaggle dataset to be pitched to clients, such as fleet owners, as an EY solution to understand the business applications of data analytics. ● Performed exploratory data analysis, data preparation, feature engineering, compared prediction algorithms (Decision Trees, Logistic Regression, Linear SVC, XGBoost) and summarized the findings. ● Compiled the research and content for an EY research paper titled 'Imagining The New Frontiers of Marketing' to be considered for publishing.
Intern
EY• May 2018 - July 2018
● Reviewed platforms for object detection as a service for feasibility as a service as well as compatibility. ● Developed prototype custom objection detection models as per use case to be pitched to clients as part of consulting them on emergent technologies. ● Reduced the average time to obtain a deployable model from raw data down from 2 weeks, at the start of the internship, to 3 days by devising a streamlined modular pipeline. ● Deployed the models on Google Cloud Platform and thereby considerably reduced the time taken for inference from the LinkedIn: linkedin.com/in/sanchitv7 | GitHub: github.com/sanchitv7 trained models.
Education
Shiv Nadar University
Computer Science & Engineering, B.Tech• 2015 - 2019
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