Ayush Kumar
@ayushkumar42
I build data analytics and offline machine-learning pipelines for large datasets.
What I'm looking for
I built an offline AI candidate-ranking engine that processes datasets exceeding 100,000 records using Python, sequential file streaming, and strict memory-management techniques.
Through CodeAlpha data analytics projects, I analyzed Netflix content trends, visualized Movies versus TV Shows and release velocity, and built a TextBlob NLP pipeline to classify customer-review sentiment.
At Chegg Inc., I evaluated and structured complex scientific data as a Subject Matter Expert, applying analytical chemistry knowledge and subject indexing to support accurate information processing.
I'm pursuing a BCA focused on computer and information sciences, advanced data analytics, and AI tools, and I enjoy building reliable, high-performance data solutions.
Experience
Work history, roles, and key accomplishments
Specialized in analytical chemistry and complex subject indexing, evaluating and structuring highly technical scientific data. Leveraged deep domain knowledge to analyze problems, ensuring accurate, high-quality information processing and knowledge transfer.
Education
Degrees, certifications, and relevant coursework
KCC Institute of Technology and Management
Bachelor of Computer Applications, Computer and Information Sciences
Pursuing a Bachelor of Computer Applications with a focus on computer and information sciences, including certifications in advanced data analytics and AI tools.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
ayush-hub-cyber.github.io/PortfolioJob categories
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