Varun Shrivastava
College Park,MD
Summary
Detail-focused Data Analyst with knowledge in data mining, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for generating data driven insights..
Overview
4
4
years of professional experience
Work History
Machine Learning Engineer Intern
CardiacCloud AI Inc.
Santa Clara, CA
06.2023 - 08.2023
- Researched and analyzed ECG telemetry market, identifying key drivers including increasing prevalence of cardiovascular diseases, technological advancements, and shift towards remote patient monitoring to streamline healthcare processes, with four key players contributing to market growth
- Optimized machine learning models using PyTorch by implementing advanced algorithms and feature selection techniques by training model with over 10000 samples of normal ECG data, with each sample having 140 data points
- Achieved accuracy rate of 95% by leveraging model's bottleneck layer to extract compressed and abstracted representations of input data, enabling model to effectively differentiate between normal patterns and noise.
Senior Developer
Cognizant Technology Solutions
Pune, India
07.2019 - 05.2022
- Secured 20% of client's business by collaborating with cross functional teams to deliver critical project with zero degradation post-delivery; recognized by client as one of the top achievements
- Shortened delivery time by 40% by collecting and analyzing data of production failures using SQL and Microsoft Excel by identifying and resolving bottlenecks in development process.
- Slashed error rates to less than 2% by using VB to automate movement of files from one server to another and saving 2.5 hours daily.
Education
Master of Science - Business Analytics
University of Maryland, Robert H. Smith School of Business
College Park, MD12.2023
Bachelor of Technology - Electronics and Communication
Vellore Institute of Technology
Vellore, India04.2019
Skills
- Java
- C
- C
- SQL
- Python
- R Studio
- AWS
- MySQL
- Visual Basic (VB)
- Tableau
- Microsoft Excel
Project Work
Excel, SQL Database and Tableau Visualization to Improve Positive Attrition and Organization Turnover
● Led team of four to produce several strategic insights to help in business planning for data science software and services company with 4000+ employees and streamline data flow and extraction for reporting and publishing.
● Maintained records 0f 800,000 employees on daily level by designing a data base using SQL and keep track of their assigned projects, allocated departments, and cost to company.
● Visualized key trends in business by designing dashboard to track growth of organization and track performance of projects to help improve efficiency. Implemented filters for better readability.
● Documented a detailed report and presented interactive dashboard to panel of five members.
Python, NumPy, Seaborn, Random Forest, and Regression to Analyse Steel Surfaces using Machine Learning● Reduced pre-processing time from 70% to 12% by developing a model to automate demanding task and reduce costs by cutting manual labour and saving effort.
● Discovered key areas of interest by performing exploratory data analysis using NumPy and Seaborn.
● Detected cracks and predicted quality of steel surfaces by implementing four machine learning models.
● Compared accuracy using confusion matrix and ROC curves to determine the best model to implement.
Timeline
Machine Learning Engineer Intern
CardiacCloud AI Inc.
06.2023 - 08.2023
Senior Developer
Cognizant Technology Solutions
07.2019 - 05.2022
Master of Science - Business Analytics
University of Maryland, Robert H. Smith School of Business
Bachelor of Technology - Electronics and Communication
Vellore Institute of Technology