Data Engineering

SHANTANU DEOSTHALE

Boston, MA *****, 904-***-****, *********.*@*****.***.***, www.linkedin.com/in/shantanu-deosthale, https://github.com/shaan06/ProjectRepository

TECHNICAL SKILLS

Programming and Scripting Languages: C#, JAVA, Python, JAVASCRIPT Web Technologies & Frameworks: ASP.NET(Core), Spring Boot, Web assembly (Blazor), Angular 5, AJAX, RESTful APIs, HTML5, CSS Database Management Systems: MySQL, PostgreSQL, MongoDB Tools & Cloud Tech: AWS (EC2, S3, CloudFormation), Git, Docker, VirtualBox, Vagrant, Apache Hadoop OS and IDEs: Windows, Linux, iOS, Visual Studio, NetBeans, Eclipse EDUCATIONS

Northeastern University, Boston, MA Expected August 2019 Master of Science in Information Systems

• Relevant Courses: Application Engineering & Development, Database Management System, Web Design and Development UX/UI, Advanced Data Sciences, Web Tools Development, Networks and Cloud Computing, Big Data Engineering with Hadoop SRM University, Chennai, India May 2017

Bachelor of Technology in Electrical and Electronics Engineering

• Gained knowledge in the fields on communication, electronics, embedded systems, microprocessors, microcontrollers and advanced electrical techniques used in industries

PROFESSIONAL EXPERIENCE

MIT Biotech Group (OneCyte Biotechnologies Inc), Cambridge, MA July 2018-December 2018 Research Technician

• Performed Single Cell Data Analysis on the data obtained from Micro Engraving Assay.

• Used Technologies like MATLAB and R to determine best secreting cell based upon the signal intensity and pixel value.

• Build Python Flask application to generate automated report of each assay.

• Used OpenCV library in python to determine wells in the chips by template matching.

• Developed Analysis Pipeline in CellProfiler for segmentation of cells and wells in the chips.

• Analysis of the micro engraving chips using fluorescence imaging and scanning to identify high performing single cells ACADEMIC PROJECTS

Space Odyssey Adventure Game Fall 2018

• Developed a SPA (Single page application) adventure game using ASP.NET Core Web API as server and Angular as client

• Designed a client-side application in Angular. Used FormGroups for validations, MongoDB for Database, User registration, Authentication and the gameplay. Included Multiplayer functionality with other logged-in players. Used JWT token-based Authentication.

• Built API endpoints to retrieve User power. Stored password using Bcrypt password hashing scheme with Salt.

• Used Web Sockets to update User power in real time in Multiplayer Mode. E-Commerce Book Store Web Application Spring 2018

• Built MEAN Stack Client-side application using MongoDB, Express, Angular 4 and NodeJS

• Performed CRUD operations for adding books, updating book quantity and deleting books

• Used Angular FormGroups for validations, MongoDB for Database, User registration and Login. Used Basic Authentication for Secure Login

• Included functionality such as sorting by rating, prices and searching by book titles, added router links for better UI.

• Objective of the application was to reduce human efforts and make the surroundings aware of power of internet

• The target audience of the online Book store is avid book readers and writers. Machine Learning Based Prediction for Crimes in Chicago Dataset Spring 2018

• Performed Exploratory Data Analysis on dataset from year 2003 to 2016 using Matplotlib and Seaborn libraries.

• Analyzed Missing data, performed feature engineering and feature selection using RFE, Boruta & Stepwise Elimination.

• Identified the classification problem and evaluated five prediction models: - Extra Tree Classifier, Random Forest, Logistic Regressor, BernoulliNB and K-Nearest Neighbor classification using metrics like F1-score, Confusion Matrix & ROC curve.

• Pickled Extra-tree classifier based on efficient confusion matrix and F1-score close to 1 and uploaded to Amazon S3

• Deployed Flask Application which allowed single entry form with relevant features and predicted whether Arrest should be made or not using Extra-tree classifier on AWS Elastic Cloud Compute Edgar Dataset Analysis Spring 2018

• Generated the required URL using BeautifulSoup for the given year to get log file of the first day of every month

• Extracted the data from URL, stored in csv format and preprocessed the loaded data using Python libraries

• Computed summary metrics, automated the pipeline by building Docker image and uploaded it to Amazon S3 bucket Airline Reservation Database Management System Fall 2017

• Developed a Database Management System on SQL with airplane details, flight itinerary with flight booking rescheduling system using MySQL WorkBench 6.3 CE

• Used CURD operation for booking, rescheduling and cancelling flight itinerary

• Used SQL Techniques like Triggers, Stored Procedure, Functions, joins to achieve the goal Fit-App Gym Recommendation App Fall 2017

• Developed a three-tier architecture application using swing framework and SQL server on JAVA allowing user to select and book gym with recommendation based on rating, gym amenities, location, Male: Female ratio and average Body Mass Index

• Designed an application with inter organization communication among gym employers and users

• Used db4o library from JAVA for persisting data. Tested application among 10 people and came up with good reviews and feedbacks.

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