Engineer Data

LAWRENCE RICHARD MOSES M

MACHINE LEARNING ENGINEER

CONTACT

Address Chennai, Tamil Nadu, India

Phone 978-***-****

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

CAREER OBJECTIVE

Proactive problem solver with excellent communication abilities and Bachelor’s degree in Computer Application. Seeking the position of ML/AI Engineer at well esteemed to apply in-depth understanding of advanced mathematical concepts and statistics. Bringing data science work experience. EDUCATION

2011 10th

Velankanni Matriculation Higher Secondary

School 68%

2013 12th

Velankanni Matriculation Higher Secondary

School 55%

2016 BCA

Dr. MGR University Research and Educational

Institute 6.7

EXPERIENCE

10/03/2020 – Present ML Engineer

PhiGRC AI

07/02/2018 – 28/02/2020 ML Engineer

Tata Consultancy Services Limited

08/03/2017 - 20/11/2017 Payroll Administrator

Zalaris HR Services Pvt. Ltd (Chennai)

ACHIEVEMENTS &AWARDS

On the Spot award for becoming AI Aware and AI Fluent in the team. Completed certification in Mastering Data Science and Machine Learning fundamentals.

PROJECTS

Spanish E-mail Bot

Team of 4 in multiple geographical locations and worked on Deep Learning model to build an Email Bot for a Banking Client to automate the Email queries from

customers to Bank Call Centre and another Email Engine Airlines client's Email Classification and Tickets Management Almost 75% of FTP was reduced thus

increasing the revenue for Clients.

TCS MFDM™ Deep Fashion

Deep Fashion Using CNN actually predicts the fashion accessories. It predicts which type of fashion accessory the image contains and will display its accuracy. This achieved by using keras CNN. Where pre-processing

done through python pillow and keras image pre-

processing.

NER (Named Entity Recognition)

Created Customized NER (Named Entity Recognition)

for Spanish Banking where it extracts the Account

number, Customer ID and Social Security Number from Document and returns them in structured manner.

Dutch AI Copy Writer

NER is used for extracting brands from images and

mainframe fields. This increased accuracy of 15% of existing process where human agents were doing

previously. Language and NER is build for Belgium retail customer based using Keras.

PROJECTS

Newton AI (PhiGRC.ai)

The project is about building search engine based on semantics using elastic search and creating word embeddings based on bert as service. The idea of project is building a product for GRC domain. Where data is from US Laws and Regulation. The sources are in xml and html. The Data has been parsed and mapped using data analysis.

Medical NER

Created NER using Medical Data and Keras Bi-Directional LSTM. This project is more sort of POC for the customer. The NER is to Extract medicine from the given sentences.

ACADEMIC PROJECT

STUDENT ONLINE VOTING SYSTEM USING EMAIL

OTP We designed a web interface to conduct college election using online voting system authenticated by OTP. Only one time user can access their password through mail. We had used HTML5, CSS and Java Script as its front end and MY SQL as its back end. TECHNICAL SKILLS

Python, Google Cloud Platform, Keras, CNN, LSTM RNN, Named Entity Recognition, Bi-Direction LSTM, SVM, KNN, K-Means, One Class SVM, PCA, Tsne, Liner Regression, Logistic Regression, ANN.

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