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