Python Data

SHASWAT SOOD

848-***-**** • ******@****.*** • linkedin.com/in/shaswatsood •github.com/ShSood

EDUCATION

NEW JERSEY INSTITUTE OF TECHNOLOGY [GPA:3.77/4.00] Sep 2019 – Dec 2020 Master’s in data science

COURSEWORK: Machine Learning, Project Management, Big Data, Data Learning, Data Management Design, Algorithms Design JAYPEE UNIVERSITY OF INFORMATION TECHNOLOGY, INDIA [GPA: 3.65/4.00] Aug 2014- May 2018 Bachelor of Technology in Computer Science Engineering SKILLS

Programming: Python, JavaScript, R, C, C++, Unix, HTML, CSS, Kotlin, Java, SQL, Flask, React, Pandas Databases: MySQL, Mongo DB, Amazon, Firebase

Software Development Life Cycles: Agile, Waterfall Other Tools: Git, Microsoft Word, Microsoft PowerPoint, Linux, Tableau,Docker, Seaborn, Microsoft Excel CERTIFICATIONS

AWS Certified Cloud Practitioner, RPA Developer Foundation, RPA Business Analyst Foundation, Advanced Google Analytics, Python Certification by Hacker Rank, Competitive Programming (Leetcode) WORK EXPERIENCE

WIPRO TECHNOLOGIES Middleware Developer Jan 2019 – Jun 2019

• Worked on trade processing application that performs big data operations of financial trades in real time using Java, SQL and Rest APIs.

• Performed various tasks on trade transactions such as matching, enrichment, exception work-item processing, report generation and settlement finalization.

• Cross functional engagement with senior management, database teams and code developers and subject matter experts.

RESEARCH EXPERIENCE(PUBLICATION)

Rose leaf disease detection using image segmentation Techniques and Machine Learning Using MATLAB and Python

Classified images of leaves using Machine Learning techniques which includes Hue Saturation Intensity model and K means clustering to automate the process of disease detection in Rose plants. This classification had a 97% rate of accuracy. Project has a direct application in improvement of disease detection in floriculture. ACADEMIC PROJECTS

PHOTO SHARING APP (Instagram clone) (React, JavaScript, CSS, Firebase)

• Fully featured photo sharing app built with JavaScript, CSS, React and Firebase.

• Implemented a real-time syncing framework for comments on posts, and alteration of user data using Firebase database.

LIBRARY DATABASE MANAGEMENT (SQL, Python, Tkinter)

• Database design and identify key entity relationships to build a conceptual schema.

• Transformed the information into subject based tables to accommodate data processing and reporting needs.

• Information and storage retrieval relevant to catalogue management and administration. FLIGHT FARE PREDICTION (Python, Flask, Heroku)

• Nominal and ordinal data processed using One-Hot Encoding and Label encoding.

• Feature scaling using ExtraTreeRegressor and hyperparameter tuning, model training using random forest.

• Accuracy of around 84% achieved after applying 5-fold Random Search Cross Validation.

• End to End implementation and deployment of the machine learning model using Flask and Heroku. FLAPPY BIRD GAME CLONE (Python, Pygame module, Adobe Photoshop)

• Developed a GUI game from scratch, include 3 modules- interface design, physics engine and calculation function.

• Visual graphics and sound libraries implemented using Pygame, cross-platform set of python modules for game design.

• Developed physics engine using blit function, random generator and keyboard events.

• Compiled the python code to generate platform independent executable file, ready to play.

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