Data Text

Amar Latchireddy

***************@*****.*** +919*********-**/06/1995

I am seeking a machine learning role with a company that is both challenging and reward, where I can use my skills and knowledge to build state of the art models using cutting edge technologies.

SKILLS

PROGRAMMING

Python and iPython Notebook

CORE JAVA, SQL

HTML, CSS,

MACHINE LEARNING

Regression

KNN, SVM

Naïve Bayes

Ensemble Models

Cluster Analyses

Natural Language Processing

DEEP LEARNING

Neural Networks

Convolution NN

Recurrent NN (LSTM’s & GRU)

BIG DATA

HDFS,HIVE, PIG,SQOOP, HBASE

EDUCATION

MASTER OF COMPUTER APPILICATIONS

SRI VENKATESWARA UNIVERSITY

–TIRUPATI

Year of passing: 2019 CGPA: 7.43

PROJECTS

AMAZON FOOD REVIEW PREDICTION

PREDICTING POLARITY OF REVIEW, BASED ON TEXT DATA

Applied different NLP techniques for text data to get vectors

Trained using different ML models and LSTM model

Skills: Text Preprocessing, NLP, ML algorithms, LSTM

STACK OVERFLOW: TAG PREDICTION

SUGGEST THE TAGS BASED ON THE CONTENT THAT WAS THERE IN THE QUESTION POSTED ON STACKOVERFLOW.

Applied different NLP techniques for text data to get vectors

Trained using different ML models and LSTM model

Skills: Multi-class Classification, NLP, ML algorithms, LSTM

AMAZON APPAREL RECOMMENDATION SYSTEMS

RECOMMENDING SIMILAR APPARELS IN ECOMMERCE

Applied Content based Recommendation approach

Trained based on text and image features

Skills: Text Preprocessing, NLP, CNN

IMDB REVIEW SENTIMENT CLASIFICATION using LSTM

SEQUENCE CLASSIFICATION OF REVIEW USING LSTM

Applied Embedding layer and Dropout layer.

Trained using LSTM model Accuracy achieved 86.54

Skills: Sequence Classification, NLP, LSTM

BACHELOR OF SCIENCE (MPCS)

GOVT DEGREE COLLEGE

–TEKKALI

Year of passing: 2016 CGPA: 7.41

INTERMEDIATE MPC

SRI VISWAJYOTHI JUNIOR COLLEGE – TEKKALI

Year of passing: 2013 Percentage: 77.1

MATRICULATION

MOTHER THERESA HIGH SCHOOL

– TEKKALI

Year of passing: 2011 Percentage: 81.6

COURSES & CERTIFICATIONS APPLIED AI COURSE

By AAIC HYDERABAD

HADOOP

By NARESH IT HYDERABAD

ACADEMIC PROJECTS

MULTILINGUAL SMS CLASSIFICATION using RNN

CLASSIFING MULTI LANGUAGE SMS’s INTO SPAM OR HAM

Collected and labelled different language SMS’s

Trained using different ML models, LSTM Accuracy achieved 98.9

Skills: Text Preprocessing, NLP, ML algorithms, LSTM

PAPER PUBLICATIONS

AN ADVANCED CONVOLUTIONAL NEURAL NETWORK (CNN)

MECHANISM TO IDENTIFY THE DRIVER DROWSINESS

Published on http://ijamtes.org/VOL-9-ISSUE-04-2019-3/ s.no.385

ACHIEVEMENTS

Worked as a volunteer for 104th Indian science congress in Sri Venkateswara University – Tirupati

Attended IETE zonal seminar on Block Chain Technology

I hereby declare that all the above information is true to my knowledge.

Date:

Contact this candidate