Machine learning using Python

Bestha Lahiri Mahasaya

PRESENT ADDRESS:

*th cross achit nagar,

Soladevanhalli,

Hessarghatta main road,

Bangalore-560090

Permanent address:

Dno:12/822-1,

Ashok nagar,

Near Urdu school,

Anantapur

Mail id: *****************@*****.***

LinkedIn: https://www.linkedin.com/in/lahiri-mahasaya-6270a812b/

GitHub: https://github.com/lahirimahasaya

Contact number: +918*********

PROFESSIONAL SUMMARY

Self-motivated and eager to advance professionally and contribute to organization’s success

Exceptional leadership and planning abilities with deep understanding of Industry practices.

Good planner, problem-solver and analytical leader with strong attention to detail and sound judgment focused on continuous improvement

EDUCATION Bachelor of Engineering (B.E), Electronics and Communication (2016 - 2020)

Acharya Institute of Technology,

Bangalore

CGPA: 6.97/10

XII (Senior Secondary), Science

Year of Completion: 2016

STATE BOARD OF ANDHRA PRADESH Board (Chaitanya Intermediate College),

Vijayawada

Percentage: 94.80%

X (Secondary)

Year of Completion: 2014

STATE BOARD OF ANDHRA PRADESH Board (CVR Memorial High School),

Anantapur

CGPA: 9.50/10

INTERNSHIPS Trainee

Cosmonet Solutions (Bangalore)

Jul 2019 – Present

Medical Image processing

TRAININGS Machine Learning

Udemy (Online)

May 2019 – Present

Python

Udemy (Online)

Mar 2019 - Aug 2019

Certificate: https://www.udemy.com/certificate/UC-ZZJ5SSYC/

Strengthened developmental methodologies by introducing python code quality document

Inspected libraries of python, assessed functionality and optimized controls of those libraries

Practical Foundation On AI

Open Cubes Labs (Bangalore)

Certificate: https://sertify.me/badge_assertion/1c342dc68b039c2ee29e1a3be0baa81d?p=web

PROJECTS Region growing segmentation for pulmonary artery

Jul 2019 - Aug 2019

here we took a chest CT scan and segmented the pulmonary artery by using region growing algorithm implementing through python

https://github.com/lahirimahasaya/region_growing/blob/master/regiongrowing.ipynb

Range detection using Raspberry Pi

Using Raspberry Pi, Ultrasonic sensor, LED, buzzer we created a code in python which detects the distance and indicates with buzzer if object is close to sensor

SKILLS

C Programming

Python

Intermediate

Intermediate

C++ Programming

Machine Learning

Intermediate

Beginner

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