Engineer Machine

SURAJ Gattani

**** ********* *****, *** *******, LA 70122 M: +1-504-***-**** E: ********@***.*** / ************.*@*****.*** https://www.linkedin.com/in/suraj-gattani/ https://suraj-gattani.github.io/ Education

The University of New Orleans, New Orleans -LA May 2019 Master’s in Computer Science GPA 3.7/4.0

Savitribai Phule Pune University, Maharashtra May 2017 Bachelor of Engineering: Electronics & Telecommunication Distinction Technical Skills

Programming Languages: Python, C, C++, Java, MATLAB, VHDL, Visual Basic IDE/Tools & Frameworks: Eclipse, Git, Multisim, React-Native, Android Studio Hardware Platforms: PIC, Atmel microcontroller, Arduino based circuits, and basic Circuit designing Thesis

A Stacking based Prediction of Protein-Carbohydrate Binding Sites from Sequence May 2018 - Dec 2018

• A balanced predictor, STACKCBPred using Stacking based approach.

• Utilizes features extracted from evolution-driven sequence profile, called the position-specific scoring matrix (PSSM) and several predicted structural properties of amino acids.

• Trained the model using scikit-learn and developed software for the users.

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Academic Projects

NASA Patent and Software Classifier Tool - Data Scientist Jan 2019 - Present

• Applied machine learning to classify the patent and software into 15 categories each.

• Used Bag-of-Words model, tokenizing text, tf-idf transformer, and grid search for parameter tuning to create a SVM classifier through scikit-learn.

Prediction of Protein-Peptide Binding Sites from Sequence - Data Scientist Jan 2018 - May 2018

• Developed a predictor which utilizes sequential and structural properties of a protein sequence.

• Applied Genetic Algorithm (GA) to pick the best combination of features and effectively train a machine learning model. Phishing Detection Using Machine Learning - Team Leader Aug 2018 - Nov 2018

• Performed detection of phishing websites through machine learning. We used the WEKA tool to clean the dataset and attribute selection.

Automatic Attendance Recording System (AARS) – App Developer Aug 2017 - Nov 2017

• An application to record attendance automatically in a class.

• Used Android-Studio to host the application and react-native framework to control the application. Replication of Arm Movements using Computer Vision - Programmer Aug 2016 - Mar 2017

• Modeled a 4DOF mechanical arm to replicate human movements. Used a Kinect camera to resolve the video into skeletal form. Solved inverse kinematic problems for a model of the arm with 4 directions of freedom. Passed these calculated angles to the model for replication. Work Experience

Graduate Research Assistant - Bioinformatics and Machine Learning Lab Jan 2018 – May 2019

• Developed novel algorithms for different single/multi-class classification problem.

• Skilled at detecting, resolving issues, and understanding and analyzing data.

• Published and/or presented research findings at national conferences. Robot Programmer – ATT Robotics Aug 2015 - Apr 2016

• Programmed the autonomous robots through the values passed by an infrared sensor.

• Used Arduino based controller to pass the calculated values and control the robot Publications and Conferences

• Author: Suraj Gattani, Avdesh Mishra, Md. Tamjidul Hoque. StackCBPred: A Stacking based Prediction of Protein- Carbohydrate Binding Sites from Sequence. Neurocomputing - Elsevier; {Submitted}

• Author: Suraj Gattani, Avdesh Mishra, Md. Tamjidul Hoque. Prediction of Protein-Peptide Binding Sites from Sequence. 2018, The 6th Annual Conference on Computational Biology and Bioinformatics, Louisiana, USA, 2018.

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