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Python3, Data mining, Machine learning, Deep learning(begineer)

Location:
Kolkata, West Bengal, India
Salary:
as per performance
Posted:
December 08, 2019

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Resume:

Ranit Bandyopadhyay (RESUME)

Email address - - ***************@*****.***

phone number --- +91-980*******

Residing city Kolkata

1)ACADEMIC QUALIFICATIONS

Certifications YearBoard/University Percent

B-Tech(ECE) 2017-2021 INSTITUTE OF ENGINEERING AND MANAGEMENT 1) 8.0(CGPA)

(3rd year) KOLKATA

CBSE 2017 TECHNO INDIA GROUP PUBLIC SCHOOL 1) 9.4(CGPA X )

CHINSURAH, HOOGHLY 2) 75% (XII)

2)TRAININGS/COURSES :--

a)Programming,Data Structure and Algorithms Using Python

MODE- ONLINE

DURATION- Jan 2019 - Present

ABOUT-This training program involves basically programming in python 3 and

learning to implement data structure and algorithm using the programming

language.

b) Machine learning using python 3

MODE-ONLINE

UDEMY( with certificate of completion with projects)

c) python 3

MODE-ONLINE (with certificate)

d)Deep learning using pytorch, keras

MODE- ONLINE

UDEMY (with certificate)

3) PROJECTS : -

a) Comparison between 2 smart phones using sentiment score

(aug 2019- aug 2019)

Uses textblob library to evaluate sentiment score of the reviews between 2 recent smart phones (saved as files) and provides an overall rating of the smart phone out of 5. All reviews are collected from Flipkart recent reviews.

Github link: https://github.com/RAS217/Sentiment-analysis-based-rating-system/blob/master/sentiment.py

b) Digit Recognition, Iris flower and Motion studio voice classification,keras fashion mnist classification

(sep 2019-sep 2019)

Classification of various datasets into desired target variables using sklearn and SVM classifier(digit,iris flower) and neural networks with tensorflow(keras mnist dataset)

c) AWS Translator

(Dec 2019-present)

Uses Speech recognizer and a couple of other python libraries to translate a given voice input using a microphone and provides the translated text in the form of voice to the other device connected to it using web socket. Backend uses python 3 as software and the hardware part using AWS CLOUD SERVICES (lambda functions, EC2,etc) to provide a much faster response time for translation process.

d) Google stock prediction using linear regression and data mining

(Oct 2019-Nov 2019)

Takes the present stock price and other such parameters and calculates the prediction price using Multivariate regression

e) Smart Irrigation System

(Jan 2019 – Present)

This project employs Machine Learning from the database of several crops

based on conditions like C02 content,sunlight,temp,humidity and checks for

the amount of moisture that is required for the crop to grow.The water is

then provided.

f) Multipurpose spraying drone

(Aug 2018 - Oct 2018)

(http://ijaecs.iraj.in//paper_detail.php?paper_id=14861&nameMulti-Purpose_Spraying_Drone)

A hexacopter designed that can be used in:

1. Irrigating a field

2. Carying a hose pipe and spraying water

3. Disease prevention by spraying open land area with chemicals that kill

Mosquito larve .

g) Arduino based smart motorcycle vest

(Oct 2018 - Nov 2018)

(https://ieeexplore.ieee.org/document/8796773)

This project employs a vest designed using arduino and vibration sensor

that protects the rider from an accident.Through GPS+GSM module

message will be sent about the accident. The accelerometer+gyro sensor

provides stability of the rider during turn.

4) PERSONAL SKILLS :

LANGUAGES :Proficient in programming in C, Python3

GENERAL SOFTWARE:MS-Office-2007(MS Word/Excel/Power point)

OTHER SOFTWARE: Arduino,GIMP, Matlab(begineer), Pycharm/jupyter/spyder

OPERATING SYSTEM:MS-WINDOWS-XP, 7(ultimate), 10(pro, 64 bit)

MACHINE AND DEEP LEARNING SKILLS- keras(tensorflow backend), LSTMS, SVM,DATA MINING,DATA CLASSIFICATION,DATA VISUALISATION, IMAGE CLASSIFICATION

5)PERSONAL PROFILE

NAME- RANIT BANDYOPADHYAY

SEX- MALE

DOB- 19TH NOV,1998

ADDRESS 95B,ChandiGhosh Road,Chanditala,Tollyguange,Kolkata-40.

Fathers Name- Indranil Bandyopadhyay

Mothers Name- Rakhi Bandyopadhyay

6) Linkedin profile

https://www.linkedin.com/in/ranit-bandyopadhyay-991963157

7) Github profile

https://github.com/RAS217



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