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Engineer Software

Location:
Jersey City, New Jersey, 07306, United States
Posted:
February 04, 2019

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Resume:

RUCHA SONAWANE

Jersey City, NJ ***** mailto:ac8dzn@r.postjobfree.com 551-***-**** https://www.linkedin.com/in/ruchasonawane/ https://github.com/sonawanerucha2504

EDUCATION

Pace University, Seidenberg School of Computer Science and Information Systems New York, NY

Master of Science (M.S.) in Computer Science GPA: 3.89 Dec 2018

Marathwada Mitra Mandal’s College of Engineering Pune, India

Bachelor of Engineering (B.E.) in Information Technology GPA: 3.00

June 2016

PROFESSIONAL EXPERIENCE

Software Engineer Intern HIGHLINE Residential, LLC., New York, NY April 2018 - August 2018

Built a real-estate Sales Price Prediction System which predicted the sales price of Houses in major NYC areas (Predictive Modelling, Django Python Flask)

Calculated nearest subway station distance from each listing that introduced a valuable feature to the whole dataset & applied highly scalable regressors to build advanced Machine Learning model

Built a Similar Listing Recommendation System (ML model) based on the housing prices

Developed web scrapping/ web crawling scripts using BeautifulSoup library, Selenium, NLP, and etc.

Built test plans of developed models which included unit & integration testing

Back-end Technical Support Engineer Mphasis Limited, an HP Company, Pune, India June 2016 - Dec 2016

Collaborated with a team of 7 support engineers to collectively arrive at swift resolutions of complex client, software and application issues for a US-based client (R.J Reynolds Company)

ACADEMIC PROJECTS

Object Detection in Images using Deep Neural Network (Computer Vision, CNN, TensorFlow, Keras) April 2018

Used CIFAR -10 dataset to classify objects in images, used GPU to improve the speed of the algorithms & cloud-based services for added horse-power for data mining

Our Netflix (Recommendation System, RESTful) March 2018

Built a movie recommendation system based on a large set of reviews (more than 100,0000)

Social Media Insight (Naïve Bayes, NLTK, F-measure, JSON) Feb 2018

Created a system that dealt with disambiguating the use of the term Python on Twitter’s stream

Rising Unemployment Rate in USA (R, IBM Bluemix DSX platform, R Studio) May 2017

Analyzed the rising unemployment rate over the past 10 years to conclude a large number of major hypothesis and decreased the unemployment rate by 10% - 15%

Election Predictor (Python, Orange, NumPy, NLP, NLTK, MatplotLib) Dec 2017

Developed an Artificial Intelligence application to predict the presidential election using Twitter data and Python Machine Learning Libraries with Tensor Flow.

Extracted Twitter data for all the election candidates using Twitter API.

Prepared training and testing data sets and applied SVM, LR, Naive Bayes, k-NN algorithms on those label tweets to come up with a strategy for different candidates

Stormtrooper Database (SQL, MySQL, Relational/Non-Relational Databases) Dec 2017

• Created a Master Database of more than 11 tables which represent the structure of an Imperial Stormtrooper Brigade to

implement and understand complex querying such as call procedures, indexing, cursors, triggers and events in a database.

Anomaly- Based Network Intrusion Detection System (Pattern Recognition, K-Means Clustering, NVB) June 2016

With a four-person team, built an application that detected intrusions in a computer coming through the network & separate the normal instances during preliminary stage by forming different clusters

Achievements: Detected different types of network intrusions- pattern based attacks, DoS attacks /DDoS, Remote to User (R2L), User to Root (U2R), to name a few; analyzed ongoing traffic, activity, transaction and behavior of the intrusions

Publication: Sonawane Rucha, Anomaly-Based Network Intrusion Detection System, volume CIIT-IJ-6399-Notification (Coimbatore Institute of Information Technology, India)

TECHNICAL COMPETENCE

Programming Languages : Python, R, C, C++, Advanced SQL, Mongodb, JavaScript, HTML, Java

Frameworks & Tools : Django, Spark, Docker, Kubernets, Cloudera, AWS, S3, Flask EC2, IBM

Watson Analytics, Google Analytics, Microsoft Azure – ML,

Hadoop, QTest, MatLab, Git, Linux OS, Amazon SageMaker

Machine Learning : Regression, Classification, Deep Neural Networks, NLP, TensorFlow, Pandas, Numpy,

Scikit learn

ADDITIONAL SKILLS/CERTIFICATIONS

The Python Bible Everything you Need to Program in Python online course (Udemy Certified) Dec 2018

Deep Learning and NLP A-Z : Chatbot & PyTorch Jan 2019



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