Data Analyst Python

RESUME

Name : Gokulprasanth N

Address : ***/*,******* ******, ****** palayam,Erode- 638002

Mobile No : 812-***-****

Email-ID : adf8x5@r.postjobfree.com, adf8x5@r.postjobfree.com EDUCATIONAL QUALIFICATION:

DEGREE INSTITUTE BOARD/ UNIVERSITY YEAR OF

PASSING

%/ CGPA

M.Sc., Applied

Mathematics

PSG College of

Technology,

Coimbatore.

Anna University 2019 7.32

B.Sc.,

Mathematics

Kongu Arts and

Science,

Perundurai.

Bharathiyar University 2017 7.3

HSC RCMHS

SCHOOL,Erode

State Board 2014 73.08%

SSLC RCMHS

SCHOOL,Erode

State Board 2012 77.6%

INTERNSHIP:

● Organisation - “INVENTORS OF ZERO” at PSG STEP in Coimbatore.

● Duration - 6 months (dec 2018- may 2019)

● description - Data analyst trainee

WORK EXPERIENCE:

● Organisation - “ALGOLITICS INDIA LLP” in Coimbatore.

● Duration - 1.5 months (12 feb 2020 - 23 mar 2020)

● description - Python developer trainee.

DOMAIN ASSIGNMENTS:

● Presented a successful Package titled “Student Management System” as part of the course “Object Oriented Programming ”, PSG College of Technology, Coimbatore, 1st Semester.

● Presented a successful Package titled “Parking system” as part of the course “Data Structure and Algorithm”, PSG College of Technology, Coimbatore, 2nd Semester.

● Presented a research report on “Efficient Data Mining Method to Predict the. Risk of Heart Diseases through Frequent Item sets” as part of the course “Data Mining”, PSG College of Technology, Coimbatore, 2nd Semester.

● Presented a successful Package titled “Library book Management System” as part of the course “Data Base Management System”, PSG College of Technology, Coimbatore, 2nd Semester.

PROJECTS:

High resolution image using Super Resolution Generative Adversarial Networks(SRGAN).

● The project work mainly used for estimating high resolution image from low resolution image.

Human Action Recognition and Pose Estimation.

● The project work mainly used for detect and predict the poses and actions of single or multiple people in an image using Convolutional Neural Networks method. TECHNICAL SKILLS:

● Programming Languages:C++, JAVA (basic), PYTHON,,SQL AREA OF INTEREST:

● Computer Programming, Machine learning, Deep learning, Data structures, Predictive analytics, Web development and design

CO-CURRICULAR ACTIVITIES:

● Participated in “Mathematical Modelling” at Kongu Arts and Science on 22nd December 2016.

● Representative in Kongu Arts and Science in the year(2016-2017)

● Representative in PSG College of Technology in the year(2018-2019) HOBBIES:

● Chess, Carom, Reading, Drawing

PERSONAL DETAILS:

Date of Birth : 28th Nov 1996

Gender :Male

Languages : English, Tamil.

Place:Coimbatore

Date: (Gokulprasanth N)

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