Python Developer Panda

Shreya Desai

Python Developer

Location: NY Mobile: 607-***-**** Email: **************@*****.***

Professional Summary

Over 2+ Experience in implementing Object-Oriented Python, Hash Tables (Dictionaries) and Multi threading.

Experience in installing software using pip command for python libraries and extensive usage of the PEP8 coding convention.

Good understanding on Django ORM and SQLAlchemy.

Experienced in interfacing with third party API’s using REST and SOAP

Worked with varieties of Relational Databases (RDBMS) like SQLite, MySQL and PostgreSQL.

Experienced in writing SubQueries, Triggers, Cursors, Stored Procedures and Functions.

Proficient knowledge of Web services like Google Cloud and Amazon AWS Services.

Good Knowledge on Linux and Shell Scripting.

Experienced in developing web-based applications using Python, PHP, XML, JSON and MVC3

Well versed in design and development of presentation layer for web applications using technologies like HTML,CSS, JavaScript, JQuery, AJAX and Bootstrap.

Excellent interpersonal abilities, communication skills, time management and team skills.

Skills

Languages:

Python, C, C++, Java, HTML, CSS, JavaScript, JQuery, PHP

Databases:

SQL Server, MySQL, MongoDB, PostgreSQL

Tools:

Git, Jenkins, Visual Studio, Eclipse, Arduino IDE, Tableau

OS:

Linux, Windows

Other:

OOPS, Algorithms, Data Structures

Methodologies:

Scrum, Agile, Waterfall

Education

●Master of Science in Computer Science: Binghamton University, State University NY – May 2021

●Bachelor of Engineering in Computer Engineering: Mumbai University, IN – Jun 2019

Experiences

Client: BNY Mellon, NY Jun2020–May 2021

Role: Python Developer (Unpaid Intern)

Responsibilities:

Involved in building database model, APIs and views utilizing Python, in order to build an interactive web based solution.

Used data types like dictionaries, tuples and object -concepts based inheritance features for making complex algorithms of networks.

Designed and developed the UI of the website using HTML, XHTML, AJAX, CSS and JavaScript.

Expertise in client scripting languages like JavaScript, JQuery, JSON, DOJO, bootstrap, Angular.js.

Designed and managed API system deployment using fast http server and Amazon AWS architecture

Worked on Python Open stack API’s.

Carried out various mathematical operations for calculation purpose using python libraries.

Managed large datasets using Panda data frames and MySQL.

Worked with JSON based REST Web services.

Performed testing using Django’s Test Module.

Creating unit test/regression test framework for working/new code.

Using Subversion version control tool to coordinate team-development

Environment:Python, XML, Java, MySQL, Apache, CSS, HTML, JavaScript, Shell Scripts, Linux and Windows.

Client: Trigent, India Jul 2018–Jun 2019

Role: Jr. Developer (Intern)

Responsibilities:

Developed Views and Templates with Django view, controller and template language to create a user-friendly website interface.

Configured the Django admin site, dashboard and created a custom Django dashboard for end users with custom look and feel.

Used Python for XML, JSON processing, data exchange and business logic implementation.

Created UI using JavaScript and HTML5. Designed and developed data management system using MongoDB.

Used Python scripts to update the content in database and manipulate files.

Proficient in Software Design and Development with a solid background in developing.

Environment: Python, XML, MySQL, CSS, HTML, JavaScript, Shell Scripts, Linux and Windows.

Notable Projects

Chicago Crime Rates Jan 2020 – Apr 2020

Worked on a large dataset of approx. 2 lakh rows and sorted the data using many supported queries such as search by the type of crime, Location Description, Latitude and longitude, comparing two districts on basis of count and type of crime.

Software used - MongoDB, JavaScript, Mustache template library.

DNA String Matching Algorithm Jan 2020 – Apr 2020

Evaluated a Large dataset of approx. 50000 characters and implemented KMP, Rabin – Karp and Boyer – Moore algorithms.

Evaluated their performance using time complexity and resulted that Boyer Moore algorithm is more effective for large datasets.

Software used - pycharm community edition and Apache NetBeans IDE 11.2

Smart Stick for Blind People Aug 2018 - Apr 2019

Programmed an ultrasonic sensor to detect obstacles ahead at a distance of 4m using ultrasonic waves

Computed a wireless radio frequency remote to locate the stick if misplaced, by pressing the remote button and following the buzzer sound

Blood Bank Website Jul 2017- Nov 2017

Designed and developed the dashboard for the website which connects blood donors, receivers and hospitals based on geographical location and blood group

Assisted in developing back-end components of the website using MySQL

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