Civil Engineering Assistant

EDUCATION

Master of Computer Science May **** - May 2021

University of Dayton, Dayton/Ohio/US GPA 3.9/4.0

Relevant Courses - Advance Programming and Data Structure (Java), Algorithm Design, Advance Computer Vision, Database Management System, Advance Intelligence System and Deep Learning, Artificial Intelligence

Bachelor of Electronics and Telecommunications May 2015-June2019

Pune University (SPPU), Pune/Maharashtra/India GPA 7.5/10

SKILLS

Programming Languages: Java, Python, SQL, JavaScript, HTML, CSS, Django

Software: MySQL, Cloud SQL, AWS Sagemaker, Lambda, Git, Docker

IDE: Linux, : Jupyter Notebook, Eclipse, PyCharm,, Anaconda, MATLAB, Portus, Micro, NetBeans, Microsoft Office

Python Lib: TensorFlow, PyTorch, Numpy, Plotly, Flask, NLTK, Spacy, Matplotlib, Seaborn,, OpenCV, Scipy, Pandas, Matplotlib, Seaborn

EXPERIENCE

Graduate Research Assistant at University of Dayton, Dayton, Ohio, US August 2020

Deploying end to end machine learning model using Transfer Learning and Object Recognition for construction safety of worker in real time on Google Collab.

Cleaning and annotating 5000 camera-trap images with using semi-supervised generative modeling.

Solving “Black-Box” problem using different Visualization Techniques to generate heatmap like GradCAM and LRP.

Writing Research paper Title “Explainable Deep Learning for Construction Site Safety” for the Journal “Automation in Construction”.

ACADEMIC PROJECTS

University of Dayton

Anomaly Detection at the construction site (Binary Classification, Tensor Board ) Dec- June 2020

Machine learning model for classifying worker as safe and unsafe based on the scenarios ( like worker on the scaffold and ground) and safety equipment’s like hardhat, strap, harness etc.

Explored the capability of the Deep Learning model by using various pretrained model like VGG, ResNet to make classification. Achieved a classification accuracy of 92%.

Road Crack Detection (Semantic Segmentation, CNN) May – July 2020

Solution to the problem segmentation for Road Crack detection using real world dataset.

A UNET model built using deep neural network is implemented with Keras functional API to detect cracks on road with 97.5% accuracy.

Suggestive Learning (Pycharm, Tensorflow) August 2019- Dec 2019

Project is about suggestion for a person to opt for a traditional (classroom) training or an online (e-learning) training.

It uses the offline data gathered physically from previous experience of people via survey and feed the same into Python (tensor flow) build network to get the desired output for the end user.

Database Management System Project (ER Diagram, SQL query) August 2019- Dec 2019

The project is based on a website login with booking available for flight and hotel.

Created database for storing the user’s information and web interface is created in java spring MVC.

CO-CURRICULAR ACTIVITIES

Secured a position in a poster presentation titled, ‘Preparation of LIFI’ and ‘Circuit Wizard’ organized by MITAOE Students, Alandi, India, in 2017

Secured the first prize as the most innovative App in the app making competition hosted by JSG elections in MIT Academy of Engineering in 2016 Coordinated transition to new operating system.

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