
Vasistha Singhal
Data Analytics Intern

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About me
Data & AI @ CVS Health | Ex-MLE @ PlayStation | MS CSE at Georgia Tech | Ex-HSBC | M.Tech Data Sciences at IIT Madras
Education

Indian Institute of Technology, Madras
2019 - 2021Master of Technology - MTech Data Sciences 8.85/10Activities and Societies: Table Tennis Team, Entrepreneurship Cell

Georgia Institute of Technology
2021 - 2023Master of Science - MS Computational Science and Engineering 4.0/4.0Coursework: Computational Data AnalysisAlgorithmsData Science for EpidemiologyComputer VisionHigh Performance ComputingModeling and SimulationDeep LearningNatural Language ProcessingStatistical Data Mining

Indian Institute of Technology, Madras
2016 - 2020Bachelor of Technology - BTech Chemical Engineering 8.85/10
Experience

Gyan Data Pvt Ltd
May 2019 - Jul 2019Data Analytics Intern- Employed a novel graph theoretic approach to represent various orientations of cylindrical parts as directed paths using NetworkX and reduced space usage by 10% by solving LPPs (with PuLP) to obtain the optimal placement - Automated commentary data acquisition using web scraping with Selenium, engineered features from the data using NLTK and visualized feature importances by creating a batsmen's dismissal frequency table

HSBC
May 2020 - Jul 2020Junior Analyst• Performed the default risk capital (DRC) calculations for different portfolios using pivot tables in MS Excel and then automated these calculations by writing modular Python code using Pandas and NumPy.• Reduced time required to carry out calculations from around 2 days (manually using Excel) to 8 minutes

Georgia Institute of Technology
Jan 2022 - May 2023Graduate Teaching AssistantGraduate Teaching Assistantship: ISYE 6739 - Regression Analysis• Assisted ~500 students as part of the Online M.S Analytics course on Regression Analysis. • Conducted weekly one-on-one office hours and answered students' questions on Piazza. • Reviewed and developed the course content to enhance understanding. • Provided technical support in R

PlayStation
May 2022 - Aug 2022Machine Learning Engineer Intern- Analyzed over 100M gameplay data points to identify anomalies and ensure uniformity in the data distribution. - Productionized an end-to-end CI/CD pipeline for Gradient Boosted Trees and Factorization Machine based concept recommendation models using SparkML, Databricks, Jenkins, Kubeflow, AWS and Hyperopt.- Achieved 10-12% improvement in ranking metrics like MAP and NDCG over the baseline model.

CVS Health
Jun 2023 - nowSimplifying Data Quality using AI Metadata enhancement using AI
Senior Data Engineer
Sept 2024 - nowData & AI Engineer
Jun 2023 - Sept 2024
Licenses & Certifications
- View certificate

Data Engineering Foundations
LinkedInJan 2023 - View certificate

Associate Cloud Engineer Certification
GoogleSept 2024 - View certificate

SQL Essential Training
LinkedInDec 2022 - View certificate

Advanced SQL – Window Functions
LinkedInJan 2023
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