Atharva Urdhwareshe

+1-631-***-****

adjtji@r.postjobfree.com

linkedin.com/in/uatharva

https://github.com/uatharva

Education

Stony Brook State University, Stony Brook, NY Aug 2019 – Dec 2020 Master of Science in Computer Science

Medicaps Institute of Technology and Management, India Aug 2015 – Jun 2019 Bachelor of Engineering in Computer Science

Coursework –

Machine Learning, Probability and Statistics for Data Scientists, Theory of Database Systems, Analysis of Algorithms, Simulation and Modeling, Discrete Mathematics, Network Security, Data Science, Software Engineering. Experience

Stony Brook Lab – Research Assistant Jan 2020 - Jun 2020

Parametric and Non-Parametric Inferences on COVID19 Dataset

• Performed parametric and non-parametric inferences on COVID19 + AirNow dataset for Massachusetts to infer relations between #cases and #deaths per day from March to June 2020.

• Calculated AR, EWMA, MAPE, Z-test, Wald’s, T-test, K-S and permutation test and Pearson correlation coefficient for successfully showing the connectivity.

Breast Cancer Prediction

• Initially developed a model to achieve an accuracy of 89% using perceptron and Adaboost learning algorithm for multiple features- heart rate, blood pressure.

• Increased the accuracy to 90% on implementing KNN and K-means clustering. K-means showed the percentage of positive diagnosis using 2 different distances - Euclidean and Manhattan.

• Finally increased the accuracy even more to 91% by implementing SVM using gradient descent algorithm and visualized the maximum margin separating hyperplane. Stony Brook University - Teaching Assistant Sep 2019 - Dec 2019

• Instructed the course – Foundations of Computer Science at the Stony Brook University under professor Pramod Ganapathi.

• Developed all assignments and papers which included Proposition and Predicate logic, Graph theory from Discrete math and proctored for the exams.

Globalizers Edutrain Pvt. Ltd. – Content Manager Sep 2018 - Aug 2019

• Directed as a Content Manager for a website that runs on HTML5, CSS and Java script.

• Increased the efficiency of the website by increasing the threshold the servers could hold by 10%. Projects

Face Mask Detector on COVID19 Dataset Jul 2020 – Aug 2020

• Implemented Keras and Tensorflow to train a classifier to automatically detect whether a person is wearing a mask or not on the COVID 19 dataset containing images with people with (690 images) and without masks (686 images).

• Using that machine to detect COVID19 face masks with OpenCV in real-time.

• Gained an accuracy of approximately 94.2% on the training data. Learning to detect Heavy Drinking Episodes using Smartphone Accelerometer Data Feb 2020 - May 2020

• Researched the time series dataset extracting time-domain and frequency-domain features from smartphone accelerometer on 369800 rows of data each with 57 features.

• Improved the accuracy from 75% to 84% with Random Forest, CNN and approximately 80% with SVM to differentiate between a sober and intoxicated person. BotBucket - Static Analysis and Classification of Botnets and Malwares Oct 2019 - Dec 2019

• Created an intrusion detection system which analyses according to host and network. Classification of this system is designed to effectively deal with the malware and the obfuscated bot binaries.

• Used recurrent neural networks to train and classify the system with an accuracy of 73%.

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Technical Skills

Languages: Python (Scikit-learn, Numpy, Pandas, beautifulSoup, Keras, TensorFlow, Matplotlib), C++, JAVA, JavaScript. Database Management and web development: IBM DB2, Hadoop, MySQL, HTML5, CSS3, Django, Selenium, JQuery. Tools: IntelliJ, PyCharm, Jupyter-Notebook, Git, google Colab, SQL Workbench, Data Studio, Cloudera VM, Oxygen XML. Certifications

Deep Learning Specialization from deeplearning.ai on Coursera by Professor Andrew Ng. May 2020 - Aug 2020 Java, C++ Programming from SSI Institute Pvt. Ltd. Indore, India. Sep 2017 - Sep 2018

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