Aryan Raj

Associate Consultant

Prayagraj, Uttar Pradesh, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Hands-on experience in AI and web development.
Led diverse teams in cultural and technical events.
Applied NLP to enhance financial market predictions.

Stackforce AI infers this person is a Fintech analyst with strong NLP and data analysis capabilities.

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Skills

Core Skills

Natural Language Processing (nlp)Data Analysis

Other Skills

Long Short-term Memory (LSTM)GooglenetEncoder Decoder modelAnalytical SkillsMachine LearningArtificial Intelligence (AI)Deep LearningComputer ScienceData-Driven InsightsMarketing StrategyEngineeringCreative Problem SolvingFoundationVideo CodingKeyshot

About

My academic backdrop in Computer Science is adorned with hands-on experiences in AI and web development. In one of my standout internships at IIT Patna, I applied NLP to enhance financial analysis, significantly improving market prediction models. My leadership isn’t just technical—I've piloted diverse teams, from cultural fest committees to sports and drama, earning accolades across various competitions that highlight strategic thinking and effective communication. With a strong foundation in both technical and soft skills, I’m passionate about contributing to projects that push the envelope in technology and innovation.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Indian institute of technology, patna

Technical Team Member

Dec 2024 – Feb 2025 · 2 mos · Hybrid

During the internship, I worked on data analysis in the FinTech domain with a focus on financial stock market analysis using Natural Language Processing (NLP) techniques. The work involved studying and analyzing various financial documents, including reports, news articles, and market data, to extract meaningful insights. I explored different NLP methodologies for sentiment analysis, named entity recognition, and topic modeling to evaluate market trends and investor sentiment. Additionally, implemented techniques for processing and structuring unstructured financial data, contributing to a deeper understanding of stock market behavior through computational analysis.

Natural Language Processing (NLP)Data Analysis