Personal Assistant Engineer

Priyesh Sharma

Machine Learning Engineer

Detail-oriented machine learning enthusiast having passion for learning new technologies. I have 1+ year of experience as a Product SME at eClinicalWorks during which I have had the oppurtunity to demonstrate my excellent problem-solving skills. Being frequently prasied as adaptable and fast learner by my peers, I can be relied upon to help your company acheive its goals. **************@*****.*** 937-***-****

Ahmedabad, India linkedin.com/in/priyesh-sharma-75934114a github.com/ppsha3

WORK EXPERIENCE

09/2018 – Present

Product SME

eClinicalWorks

Ahmedabad

US based company specializing in Cloud Based EHR

Identify, research and resolve L3 technical issues. Alter configuration at server, firewall, router and database level, if needed.

Troubleshoot at database(MySQL, Microsoft SQL Server) level by constructing debug queries.

Document the issue after Root Cause Analysis and commit the information to the company's knowledge base.

Worked with the stakeholders, including clients, to make sure the product is giving desired output. Thus, working across various teams.

Contributed in improving the stability of the product. Identified 10+ Patient Safety(P1) Bugs.

EDUCATION

10/2015 – 07/2016

Diploma in IT

Monash College

Melbourne, Australia

Completed the diploma in 8 months

Received appreciation certificate for being a student mentor Received appreciation certificate for being a student volunteer at the college events

07/2016 – 07/2018

Bachelors in Information Technology and

Systems

Monash University

Melbourne, Australia

Information Communication Technology

Systems Design

Data Structures and Algorithms

SKILLS

Python SQL C Data Structures

Problem-Solving AWS NoSQL Keras

TensorFlow Pandas Scikit-learn NumPy

OpenCV NLP Deep learning Statistics

Matplotlib

PROJECTS

Project TENS Australia (01/2017 – 10/2017)

Created Front-End application and Back-End Console for a pharmaceutical company in CakePHP

Received Distinction in the academic assessment for the project Satisfactory Client response

Appreciation from academic mentors

Clipster (10/2018 – 01/2019)

Created a clipboard manager program in python using Tkinter library Handwritten Digit Recognition (08/2019 – 09/2019)

Created a machine learning model, in python, to recognize handwritten digit using OpenCV and keras

Project Corvo (09/2019 – Present)

A personal assistant which describes your surroundings through camera using computer vision and NLP

CERTIFICATES

Deep learning By DeepLearning.ai through Coursera

(09/2019 – Present)

https://www.coursera.org/account/accomplishments/certificate/RDDK6RP CQD74

Machine Learning By Stanford University Online through Coursera (07/2016 – 09/2016)

https://www.coursera.org/account/accomplishments/certificate/FCDCTP9 CRV54

Achievements/Tasks

Acheivements

Courses

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