Data Engineer

Shruthi Bidarikere

Address: Columbus, IN, USA Phone: 812-***-**** Email: ************@*****.*** LinkedIn: www.linkedin.com/in/skb-11 CAREER OBJECTIVE

Recent data science graduate having strong analytical skills with a sharp business acumen looking for full time roles in data science industry. EDUCATION

M.S APPLIED DATA SCIENCE MAY 2021

Indiana University - Purdue University, Indianapolis Related coursework: Deep learning, Cloud Computing, Data Analytics, Statistical Inferences, Data Visualization, Web Development. B.E ELECTRONICS AND COMMUNICATION JULY 2012

STJ Institute of Technology, India.

Related coursework: Information theory, Programming in C++, Logic design, C Programming. SKILLS

Technical Skills:

Programming Languages : Python, R, SQL, C, SAS, HTML, PHP, Linux. Packages/Libraries : Pandas, Numpy, SciPy, Scikit learn, NLTK, Matplotlib, OpenCV. Technologies : Cloud tools – ( Pyspark, AWS, Hadoop ), Tableau, MS Excel. Soft Skills : Teamwork, Leadership, Efficient communication, Project management. EXPERIENCE

Data Analyst Intern at TechPoint OCT 2020 – NOV 2020

· Conducted a data analysis by preprocessing business survey data and visualized the factors that would contribute to enhance the business practices for the organization.

· Presented the data analysis successfully to the team where the team uses this analysis to improve their business development and program strategy.

S.O.S Challenge Participant at TechPoint JUN 2020 – JUL 2020

· Challenge aimed at creating solution to monitor student progress for teachers at schools/colleges during COVID-19 pandemic.

· Worked with a multi-disciplinary team to create a web application that analyzes student performances and evaluation.

· Significantly contributed to the project by stimulating the data and used this data to design and develop the databases.

· The website generates accurate reports of students which help teachers to effectively track and provide timely feedback to students. ACADEMIC PROJECTS

Detecting drowsiness for drivers on roads using deep learning

· Developed a detection system that identifies indicators of drowsiness through facial recognition for a driver on the road. These indicators are used to cause a trigger alert when the driver is drowsy.

· Modelled two frameworks- Long Short-Term Memory (LSTM) model and a pre-trained model using transfer learning that accurately predicts for drowsiness 82 % of time.

· The detection system developed helps to reduce road accidents and prevent serious injuries. Predicting risk of road accidents using machine learning

· Performed preprocessing and conducted data analysis to develop a prediction system that detects severity of road accidents.

· Logistic regression model gave the best performance by accurately predicting 81% of the time.

· This project is useful in effectively identifying accident hotspot locations and conduct fatality analysis to take preventive measures. Online Coursework Management system

Designed a web application that entails user registration, course search, subscription, and details including ratings and profile management for online course management system. This website is useful for learners and educators for easy registration, login and accessibility of coursework. E-Shopping Database Management System

Designed a database that effectively manages information of a product, customers, and orders for online shopping management system. This project is useful for easy accessibility, organize, and maintenance of product, order and customer information.

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