Ashfaq Hussain

Software Developer

🐱‍💻

Experience

Software Engineer

Shoponomik

Mar 2024 - Aug 2024

Deployed a data pipeline that collects crucial information about local trends from various sources of the internet and stores the data in AWS S3 bucket to be processed for creating a recommendation system.

Increased data collection efficiency by 2x through implementing an automated scraping pipeline using Selenium and Python, capturing around 1,000 daily data points for trend analysis

Achieved 100% unit test coverage in the Vue.js Panoramik Web App, resulting in a reduction in bug reports

Research Assisstant

CSUN

May 2023 - December 2023

Identified critical features from a set of 176 speech features indicative of Parkinson's Disease by conducting comprehensive acoustic attribute analysis, resulting in a refined set of 28 key predictors.

Developed machine learning models using various algorithms, achieving high accuracy of 89% and above in PD prediction, paving the way for early and non-invasive diagnosis.

Demonstrated the potential of machine learning-based speech analysis for improving patient outcomes in PD, enabling timely medical intervention for more than 500,000 Americans in the country.

Software Engineer

Shoponomik

Jun 2022 - May 2023

Streamlined product management for 20+ clients by creating an efficient merchant dashboard using Angular, Node JS, and Firebase and implemented search functionality, enhancing overall productivity and client satisfaction.

Developed a JavaScript service that could be integrated into third-party applications, which provides clients the ability to create and maintain orders in their applications.

Upgraded and integrated payments and authentication services into the application, enhancing user privacy and ensuring secure, streamlined transactions.

Slashed customer data analysis time by 2+ dev hours, deploying a Python script in a Linux environment, enhancing efficiency, and delivering actionable insights.

Software Engineer

Widhya

Sep 2020 - Dec 2020

Performed predictive analysis of Instagram hashtags using linear regression in python to identify popular post. Findings were shared with the social media team, and resulted in 10+ students joining at least one of the bootcamps offered by the company

Worked on building and styling the home page for the company's main website using React JS and Tailwind CSS

Machine Learning Intern

IIT Kanpur

Apr 2020 - Jun 2020

Developed a personalized book recommendation system using K Means Clustering with 76% accuracy for the students to use to decide which books to read next.

The program takes the user's input and based on the topic and genre of book, it suggests the user a list of recommended books.

Portfolio

A full stack application using graphql and reactjs. This project was created keeping in mind the clients needs and wants. Needs are core requirements. It's all what the product is and wants are like the extra features.

Code

A front end application created using React JS utilizing the power of one of the most unique food recipe API. The user can search for recipes based on what they have in their kitchen and accordingly recipes will be displayed.

Code

A front end application built using React JS and the Coin Ranking API. The API displays real value in money for different varieties of crypto coins. Users can also use this applicaiton to get the latest information about any coin.

A Python script created using two tools: PyPDF2 and PdfPlumber. It does exactly what it says. Instead of paying premium to listen to audiobooks, one can use this tool to convert any book into audio.

Code

A sequential machine learning model that generates or guesses the next word when provided with a paragraph.

Code

A machine learning model that suggests new books to read when given an input of liked books.

Code

Contact

Reach me out at mohdash966@gmail.com

Designed and Created by @Ashfaq