parichay sharma

Data Engineer,Backend Engineer,Data Science
ROKA Technology Singapore
Sep 2016 - Present (5 years+)
Key Result Areas:
● Planned and engineered RESTful web services to manipulate dynamic data sets using python.
● Researched new technologies, software packages and hardware products for use in projects.
● Web crawler for multiple e-commerce websites using python.
● Data analysis , organisation and extract meaningful information of crawled data using beautiful
soup,regular expression and natural language processing.
● building supervised machine learning models for sentiment analysis using keras,Natural language
processing(NLP), pandas, matplotlib, deep learning(Convolutional neural network and LSTM ). ●
Create an auto correct sentence model using fastText.
● Resolve search classification problems using spaCy and Multinomial Naive bayes.
● Build supervised machine learning model for matching products listed on multiple e-commerce websites
using word2vec,keras library,pandas,image processing, scikit-learn,deep learning (LSTM).
● Created intelligent search engine api using python,PostgreSQL full text search and regular
expression(regex).
● Worked on Amazon,google merchant centre,shopify,lazada singapore store api's for seamless
integration using python.
● Knowledge of token based authentication especially using JSON Web Tokens (JWT).
● Work to create a distributed P2P network using kademlia.
● Worked on a complex jsonb query in PostgreSQL.
● Pytest for unit testing of python code.
● Using lxd containers to make the application more flexible and scalable to work with in different
environments.
● Knowledge of distributed version control like mercurial.
● Knowledge of code reviews, pull requests .
● Forecast the product price using the prophet library and compare with linear regression.
● Created Distributed Data Processing system using RabbitMQ and celery

Project : Intelligent Commerce ManagerProject Aim : Provide REST api’s to manage products,manufactures,orders,integration with role
based access control,Machine learning and Data Science projects
Responsibilities :
1. Create and manage database tables using PostgreSQL and SQLAlchemy.
2. Create Backend apis using micro services architecture.
3. Serialize and Deserialize request/response data using marshmallow.
4. Create modules and api’s using flask.
5. Process images using python pillow library and celery to perform tasks in the background.
6. Create integration with multi channel commerce platforms.
7. Create Module level,api level and entity level role based access control.
8. Create search using Full Text search.
9. Deploy project to lxc container and nginx.
10. Create a product sentiment analysis model using LSTM.
11. Create auto correct model using using gensim
12. product title matching using LSTM
13. Create classification models for products, orders, manufactures, categories using multinomial Naive
Bayes.
14. Continuous Integration and Continuous Deployment(CI/CD) using buildbot
Pipelines Created:
1. Data Collection
2. Feature Engineering
3. Feature Selection
4. Model Creation
5. Model Deployment using Cloud
6. Model Retraining Approach
7. Model Results using REST api’s

Birla Institute of Technology and Science
Master Of Engineering(M.E, Software Engineering)
2014-2016
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor Of Enginee