ASHWAQ HUSSAIN

Software Engineer | Data Scientist

Hyderabad, IN.

About

Highly analytical and results-driven Software Engineer with a Master's in Computer Science, experienced in managing large datasets and developing robust software solutions. Proven ability to enhance system efficiency, automate processes, and build advanced machine learning models, as demonstrated through impactful projects and a key internship. Eager to leverage strong technical skills in Python, SQL, and cloud platforms to drive innovation in a dynamic engineering environment.

Work

Voicegain

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Software Engineering Intern

Remote, Texas, US

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Summary

Contributed to core software development and data operations, enhancing product features and system performance for Voicegain.

Highlights

Managed and processed over 1 TB of raw data, significantly improving the quality and readiness of training datasets for AI models.

Conducted comprehensive evaluations of the Zoom Software Development Kit, providing critical documentation that directly enabled the development of a new product feature.

Collected and cataloged French benchmark files, resulting in the successful integration of 10% of VoiceGain's developed models into production.

Designed and implemented a robust PostgreSQL schema, which boosted information retrieval speed by 10%.

Developed Python scripts for automated Selenium Testing, identifying and resolving at least one critical design flaw before deployment.

Education

BITS Pilani

Hyderabad, Telangana, India
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Master of Engineering Computer Science Grade: 7.9/10 CGPA

Courses

Blockchain

Data Warehousing

Deep Learning

Cloud Computing

GITAM Institute of Technology

Visakhapatnam, Andhra Pradesh, India
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Bachelor of Technology Computer Science Grade: 8.7/10 CGPA

Courses

Data Structures & Algorithms

Data Mining

Machine Learning

Database Management System (DBMS)

Skills

Developer Tools

VS Code, Anaconda, Jupyter notebook, Putty.

Languages

Python, Java, C, C++, SQL, PostgreSQL.

Technologies/Frameworks

Linux, GIT, AWS, Selenium, GCP, Kubernetes, Power BI.

Packages

Numpy, Pandas, opencv, CV2, Seaborn, xgboost, Matplotlib, Inception-v3-pytorch, Cascade Classifier, Prophet.

Certifications (Courses)

Neural Networks and Deep Learning, Algorithms Specialization, Introduction to R Software - NPTEL, Version Control with Git, Financial Markets (with Honors), Introduction to Research - NPTEL, Machine Learning, Python for Everybody.

Projects

House Sales Price prediction using regression

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Summary

Developed a regression model to predict house prices, enhancing accuracy and handling complex datasets.

Speed Capturing and Car Make, Model recognition through CCTV Footage

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Summary

Designed and analyzed a car recognition system for speed and model identification from CCTV footage.

Air Quality Monitoring using Multivariate Time series Forecasting

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Summary

Built a multivariate time series forecasting model for air quality monitoring, demonstrating improved predictive capabilities.

Image hashing using Tucker Decomposition

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Summary

Developed an image hashing algorithm using Tucker decomposition to identify similar images despite variations.