Python Developer
Location : Mumbai, India
Experience : 6 Year
Rate: $15 / Hourly
Availability : Immediate
Work From : Offsite
Category : Information Technology & Services
71117
Saurabh
Professional Summary:
● An IT professional with 6 years of experience in the IT industry.
● Full Stack Senior Python Engineer with expertise in all aspects of the software development
lifecycle, including requirements analysis, design, development, deployment, maintenance, and
production support of applications.
● Working experience in version control using Git, GitHub
● Working experience in using/integrating open-source resources according to project
requirements.
● Strong experience in Programming using Object Oriented Programming (OOPs Concept) and
database design.
● Strong experience in installing/using advanced software/modules using the pip command for
python libraries like Numpy, Pandas, Matplotlib, PyAutoGUI, OpenCV, PyMuPDF, etc. while
using the PEP-8 coding convention.
● Strong experience in Web frameworks like Django and Flask.
● Strong experience with varieties of Relational Databases (RDBMS) like SQLite, MySQL,
PostgreSQL, etc.
● Working experience in Data Migration.
● Strong experience in Front-End Development using HTML, CSS, JavaScript, jQuery,
Bootstrap, Select2, Data Tables, CK-editor, Date picker, Date-range picker, and similar
technologies.
● Strong experience in Embedded Platforms like Arduino and Raspberry Pi 3 using C/C++,
Scripting, and Python.
● Strong Working experience in Installation, configuration, and working with operating systems like
Windows, Ubuntu, Raspbian, etc. on VMWare/Virtual Box and stand-alone platforms.
● Strong experience with VMWare for implementing virtual environments.
● Working Experience with AWS(Lambda, SQS, SNS)
● Working Experience with Trello and Jira tickets.
● Passionate to work on technically challenging projects.
Work Experience:
● Northcorp Software Pvt Ltd. (Jul 2019 – Till Date)
● Dot Squares (Jan 2019 - Jun 2019) 6 months
● Revcord (Mar 2018 – Nov 2018) 9 months
● IIMT University (Jul 2017- Sep 2018) 1 year 3 months
● TCE info solutions (Apr 2017- Jun 2017) 3 months
Educational Qualification:
● Bachelor of Technology (Computer Science)
Certificates:
● Python (HackerRank)
● Problem Solving (HackerRank)
● Python for Data Science (IBM)
● Python 101 for Data Science (Cognitive Class)
● Data Analysis with Python (Cognitive Class)
Badges:
● Python - Gold Level - 5 star- Rank: 12074 - HackerRank
● Problem Solving - 5 star - HackerRank
Technical Skills:
Machines PC, Arduino UNO/Nano/Mega, Raspberry Pi 3 B+
Operating System Ubuntu, Windows, Raspbian, etc.
Languages Python 2.7, Python 3.x, HTML, CSS, JavaScript
Frameworks/ Library
Django, Flask, jQuery, Bootstrap, select2, CK-editor, Date picker, Date-
range picker, and Data Tables
Libraries OpenCV, Numpy, Pandas, Matplotlib, PyAutoGUI
Database PostgreSQL, MySQL, SQLite
IDE & Tools Microsoft VS Code, Spyder, Jupyter Notebook, IDLE
Coding Convention PEP8
Significant Project Experience:
Project Name: RFID/Fingerprint-based Attendance and Security Systems
Client: IIMTU
Platform: Arduino/ Windows
Tools: C/C++, Python
Database: MySQL
Role: Software Developer
Responsibility:
I was involved in the Development and Testing of system software to manage attendance/log data of
users and worked in the development of the machine itself.
Description:
We developed a device that tracks the records of authentication and Permits only valid users to add punch.
The software manages attendance/logs and creates excel sheets to summarize the data.
Project Name: Facial Recognition-based Attendance Machine/ Security System
Client: IIMTU
Platform: Linux, Raspbian
Tools: Python, OpenCV
Role: Development, Testing, and Maintenance
Responsibility:
This project required lots of analysis, and research toward the development of a facial recognition system.
Therefore, a lot of analysis and research was done on the challenges of implementing the solution. This
includes the selection of appropriate modern edge technologies, data gathering, and training models, and
the development of an easy-to-use GUI.
Description:
We developed this project using an Open Source facial Recognition repository from GitHub and then
replaced some resource-hungry code with lighter one to improve efficiency and converted it to a facial
recognition-based attendance machine/ sec
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