Amaanullah Iqbal
@amaanullahiqbal
I build NLP and machine learning applications from multilingual sentiment analysis to real-time AI dashboards.
What I'm looking for
I've built end-to-end AI applications including Lingual Sense, a multilingual sentiment analysis app that processed 1,000+ text samples with 90%+ accuracy, and FinForesight, a stock price predictor using Reddit sentiment data and live Yahoo Finance data.
During my Machine Learning & NLP internship with Infosys Springboard, I developed a deep learning model that classified text across 15+ global languages with 91%+ accuracy. I preprocessed 10,000+ sentences and used LSTM and GRU models with pre-trained embeddings to improve precision and reduce training time.
I've also worked as an AI & Cloud Intern at Edunet Foundation, collaborating on cloud-based decision-support automation using AI and IBM Cloud tools. I enjoy turning NLP, deep learning, and data analysis workflows into accessible Streamlit applications.
Experience
Work history, roles, and key accomplishments
Machine Learning & NLP Intern
Infosys Springboard
Oct 2024 - Dec 2024 (2 months)
Developed a deep learning model with 91%+ accuracy for classifying text across 15+ global languages. Preprocessed and transformed over 10,000 sentences for model training using tokenization and padding.
AI & Cloud Intern
Edunet Foundation
Jul 2024 - Aug 2024 (1 month)
Collaborated with a team of 5+ members to solve real-world challenges using AI and IBM Cloud tools. Built and deployed a cloud-based project automating decision-support tasks.
Education
Degrees, certifications, and relevant coursework
Guru Gobind Singh Indraprastha University
Master of Computer Applications, Computer Applications
Grade: 90.1%
Pursued Master of Computer Applications with a score of 90.1%.
University of Delhi
Bachelor of Commerce (Honours), Commerce
Grade: 65.5%
Completed Bachelor of Commerce (Honours) with a score of 65.5%.
Shaheed Rajpal D.A.V Public School
Higher Secondary, General Studies
Grade: 85.5%
Completed higher education with 85.5% and secondary education with 60%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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