Kilari Raja

+91-789******* E-Mail: adlf1j@r.postjobfree.com

Professional Summary:

●Having 5 years of experience in Machine Learning, Artificial Intelligence and NLP techniques

●Good communication, interpersonal, analytical skills, and strong ability to perform as part of team.

●Exceptional ability to learn new concepts.

●Hard working and enthusiastic.

●Design, build, deploy Machine Learning applications to solve real-world problems.

●Having strong experience in creating recommendation engines using collaborative filtering method.

●Strong knowledge in Machine learning such as Linear Regression, KNN, Neural Networks, Random Forest, K-means, Word2Vector, NLTK and Various NLP techniques

●Have knowledge on Convolutional Neural Networks (CNNs).

Professional Experience:

● Presently working for Legato Health Technologies Hyderabad, as NLP Software Engineer since Jun 2019.

●Worked as Data Scientist for Strategic Data Solutions Hyderabad, from Feb 2018 to May 2019

●Worked as Software Engineer for Gapbridge Software Services Pvt Ltd at client location(Accenture) from Sep 2017 to Jan 2018.

●Worked as Artificial Intelligence Engineer for Mobicloud Infsystems Pvt Ltd from Sep 2015 to Jun 2017

Qualifications:

●Bachelor of Technology from Acharya Nagarjuna University, Guntur in 2012.

Technical Skills:

Languages

PYTHON

Databases

SQL, Mongo Db and Google BigQuery

Algorithms

ML, CNN, AI, NN, SVM, Random forest, Collaborative filtering, RNN, LSTM

Word2Vector, NLTK and NLP

Operating Systems

Windows Family, Unix and Linux

Project Details:

PROJECT #5:

Title : Identifying intent and entities in text from business documents

Algorithms : NER, Spacy, LSTM, SVM

Environment : Python, Pandas, Spacy, NLTK

Duration : July 2019 to Dec 2018

Description:

Extracting cost shares and service names like Acupuncture, Air Ambulance from business documents and creating a jsons from excel using NER techniques

PROJECT #4:

Title : Identifying topics from reviews and what customers speaks

Algorithms : Latent Dirchlet Allocation (LDA)

Environment : Python, Pandas, Spacy, NLTK, gensim and Numpy

Duration : July 2018 to Dec 2018

Description:

To find keywords in reviews of a product of our meal kit website and to analyze those reviews and to know customer feedback like how packaging is done and quality of food.

PROJECT #3:

Title : Recommendation Engine

Algorithms : Collaborative Filtering, KNN and Implicit Als

Environment : Python, Pandas, Scikit learn and Numpy

Duration : Feb 2018 to July 2018

Description:

Our client Chef’d which sells meal kits, so they a need recommendation engine for customers, which increases sales, So i created algorithm using collaborative filtering techniques and generating recommendation based on their previous purchases.

PROJECT #2:

Title : Text Search

Algorithms : Word2Vec, Doc2Vec, Cosine Similarity Distance

Environment : Anaconda, Python and NLP

Duration : Sep 2017 to Dec 2017

Description:

Accenture employees used to post there new innovative ideas in database which is Amazon Dynamo DB, but as day by day employees has being posting there ideas and data has been increasing but the problem some employees has been posting the same ideas which is already in database and data is increasing with duplicate data

So Solve this problem we came with idea when employee is going to post a new idea based upon the text matching of the employee, the employee will get top ten results whether any already posted idea in database is there or not based on the distance between the two text using cosine similarity distance and keeping some threshold limit for the minimum distance between the texts.

Roles and Responsibilities:

Write python code for Reading the data and preprocessing data using various algorithms and feature extraction and measuring the distance.

PROJECT #1:

Title : CHATBOTS

Algorithms : LSTM, RNN, CNN, and ML Algorithms.

Duration : Sep 2015 to Jun 2017

Description:

As it turns out, AI is starting to truly become mainstream and it’s going to be full of new technologies and platforms. During the past year we’ve seen many new companies dealing with this, quite a few startups on the subject, a huge amount of FUD concerning self-driving cars and, of course, the rise of the mighty chatbot.

Just like it happened with the popularization of countless technologies before, there’s always people who buy way too much into the hype and out come the tinfoil hats. There’s already talk of how AI is making humans obsolete and that we’re like two days away from giant floating heads in the sky demanding we show them what we got.

Roles and Responsibilities:

●Now we are studying Generative models of chatbot Technology

●Trying to implement our own Chatbot using Generative model using NLP

Declaration:

I hereby declare that all the above mentioned details are true to the best of my knowledge and I will responsible for any discrepancy.

(KILARI RAJA)

Contact this candidate