Development Intern Machine Learning

GAURI GODGHASE

adup0z@r.postjobfree.com 669-***-****

LinkedIn: https://www.linkedin.com/in/gauri-godghase-6612251b5/ EDUCATION

M.S., Computer Science

San Jose State University

August 2022 - May 2024

Relevant Coursework: Topics in Artificial Intelligence, Topics in Machine Learning, Topics in Database

B.Tech., Computer Science and Engineering

MIT World Peace University

June 2018 - June 2022

Relevant Coursework: Design and Analysis of Algorithm, Database Management System, Data Structures, Operating Systems, Theory of Computation INTERNSHIP EXPERIENCE

Software Development Intern

Giesecke+Devrient

October 2021 – May 2022

• Created a Test Automation Framework for automating testing of Windows Applications reducing manual testing of enterprise tools by 70%

• Employed Python libraries such as PywinAuto, PyTest and xlrd for development

• Designed and implemented a comprehensive Testing report as a Framework output utilizing HTML, CSS, and JavaScript to assist testers in identifying software bugs, defects, and malfunctions

Machine Learning Intern

Madras Scientific Research Foundation

July 2021 – October 2021

• Predicted likelihood of customer attrition and recommended a rate plan migration as a proactive customer retention strategy leveraging Prescriptive Analytics

• Developed a model to detect Waldo in famous children’s game “Where’s Waldo” using YOLO v5

• Wrote technical blogs to share findings with community Research and Development Intern

Canspirit.ai

March 2021 – June 2021

• Constructed an end-to-end application for real-time detection of Personal Protective Equipment leveraging TensorFlow, Mobilenet SSD and deployed it utilizing Android Studio

• Developed a Machine Learning model to detect various types of vehicles using Darknet

• Designed a model to predict vehicle performance using Stochastic Gradient Descent ACADEMIC PROJECTS

Smart Attendance Model

June 2021-September 2021

• Implemented Facial Recognition to identify students present in classroom with 90% precision

• Employed techniques such as Histogram of Oriented Gradients, Face Landmark Estimation and Facial Encodings

• Operated SMTPlib to send notifications

Real Estate Price Prediction

June 2021-September 2021 November 2020 – February 2021

• Built a machine learning model to infer cost of a house using Linear Regression and Decision Tree

• Performed cross validation to avoid overfitting

• Carried out Data pre-processing, Data Visualization and Multivariate Analysis

• Adopted Flask framework to build a user interface for predictions Movie Recommender System

June 2021-September 2021

• Incorporated Cosine Similarity to design a movie recommender system

• Found relationships of greatest importance by exploiting correlation plots

HR Analytics Dashboard

June 2021-September 2021

• Analyzed employee attrition using Tableau

• Constructed metrics reports and dashboards to drive key decisions

SKILLS

• AI & Machine learning:

Deep Neural Networks, Convolutional Neural Networks, Computer Vision-Object Detection, YOLO V3/V4/V5

• Programming Languages:

C, C++, Java, Python, HTML, CSS, JavaScript, SQL

• Systems:

Linux/Unix, Mac OS, Windows

• Data Analysis and other:

Git, Jupyter Notebook, Tableau, Advanced Excel,

Pandas, Scikit-learn, NumPy, Seaborn, Matplotlib

Docker, Agile, TensorFlow, JIRA, Selenium

• Databases:

MySQL, Hadoop

• Web Design Frameworks:

Django, Flask

INDEPENDENT PROJECTS

Smart Security System

Coursera

June 2021-September 2021

• Trained a Convolutional Neural Network to

recognize faces of office employees and raise alarm on detection of intruders

Recognizing Hand Signs

Coursera

June 2021-September 2021

• Trained a Deep Neural Network to recognize numbers based on hand gestures

• Applied Sigmoid Function using TensorFlow

• Performed batch normalization and hyperparameter tuning

PUBLICATIONS

• “Personal Protective Equipment Kit Detection using Yolo v5 and TensorFlow”, Pallavi Udatewar, Abhishek Desai, Gauri Anil Godghase IEEE Xplore, 2021

• “Automated Testing Tools And Frameworks: Benefits, Pitfalls And Future Works”, Amrita Ghosh, Aishwarya Gautam, Gauri Anil Godghase, Omkar Gholap, Pradnya Kulkarni International Journal of Innovative Research in Technology, 2022

CERTIFICATIONS

•

• “Improving Deep Neural Networks: Hyperparameter

Tuning, Regularization and Optimization”, Coursera July 2020

• “Neural Networks and Deep Learning”, Coursera July 2020

• “Introduction to Data Science”, Coursera June 2020

• “IBM professional certificate in Applied Artificial Intelligence”, June 2020

• “Django for Everybody”, Coursera May 2020

ACTIVITIES

•

• Involved with a non-profit organization named

“Snehsawali” to help senior citizens during Covid 19 crisis, May 2020

• Played Badminton at State Level, Maharashtra

• Part of Cultural Festival team at MIT World Peace University

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