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.
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
|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
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.