Python, C, Machine Learning

PAVITHRA H.K

Email : ***********@*****.***

Phone no: 948-***-****

Objective:

To Work in a Professional Environment Which Progress Dynamically where I can enhance my Knowledge & Skills to achieve expertise in the working domain and also be an active part of the organization to help in the growth.

Educational Qualification:

Exam./

Degree

Institution

Board / University

Year

Percent

M.Tech

[MLIS]

Ramaiah University of Applied

Sciences Collage Bangalore

Ramaiah University

of Applied Sciences

2018

5.93

B.E

[CSE]

Prerana Engineering Technology and

Management College Shimogga

VTU

2016

54.75

P.U.C

St. Joseph’s Girls PU College

Chikkamagalur

Dept. of P.U.

Education

2012

57.83

SSLC

Sujatha High School Chikkamagalur

dist

KSEEB

2010

80

Experience:

Internship- Apollo Tyres Bangalore, As a Machine Learning Engineer, April 2018 to Jun 2018 Worked on image segmentation and detection also tested YOLO and Mask RCNN algorithm for different parameters.

Course – Machin Learning Training in Analytics Vidhya, September 2019 Thesis:

Development of Automatic Question Generation System, Oct 2018

• Syntactic and sematic analysis of text, classifying the text to generate a question by the help of CNN architecture,

Skills:

Python, MATLAB, C, Data Structure

• Proficient with Natural Language Processing, Machine Learning, Image Processing and Artificial Intelligence

• Good Command over Statistics, Neural network, Data mining, pattern recognition, SVM, CNN, RNN, Bayesian classification algorithm.

Journal Publication:

SASTech Journal: Development of Automatic Question Generative System

• Synaptic and sematic analysis of text and classified the text using CNN architecture to generate the questions.

Projects :

Gray scale image Thresholding using PSO algorithm, November 2016

• Multilevel level of thresholding for image using PSO algorithm Machey glass time series prediction using ABC algorithm, December 2016

• Feed forward neural network is used to predict the data, Mean square error correction is used for parameter optimization.

Salient image classification using SVM algorithm, May 2017

• Back ground and front ground image were classified using HOG features and SVM algorithm and confusion matrix is for evaluation.

Sentimental Analysis of Twitter Data, August 2017

• Sentimental Analysis is a process of identifying and classifying opinion for piece of text (twits), in order to determine the writer’s opinion towards product, news, and events etc. opinion like positive, negative or neutral is considered.

Syntactic and Semantic Analysis of Data, February 2018

• Syntactic and semantic analysis is a process of finding the relationship between the words, sentence and also classify the sentence based on it. (Machine learning algorithm for classification) Tool used: R, Python, MATLAB, NLTK, Pandas, Opencv, Numpy, Gensim, keras. Personal Interest and Information:

• Sports Interested: volleyball, Badminton.

• Reading Books, Drawing, Travelling.

• Languages known: English, Kannada and Hindi.

Permanent Address: Pavithra HK. Near Sujatha high school Hunasaghatta, Tarikere(T),

Chikkamagaluru(D)

577228

Contact this candidate