Aman Umrethe

Aman Umrethe

Student at Shri Ramdeobaba College of Engineering and Management

Nagpur, IndiaData Analysis and Artificial Intelligence
1roles
39skills
4education
1credentials

About

Motivated aspiring data analyst with hands-on project experience and internship experience at Accenture, focused on AI, SQL, and data analysis.

Experience

Intern

Accenture

February 2025 - June 2025 · Pune, India

Led collaboration with the data integrations team to assess workflow inefficiencies and establish technical specifications for internal automation initiatives. Designed and implemented a data tracker and reviewer tool using Microsoft PowerApps, optimizing manual data audit processes and improving team productivity. Trained in Snowflake SQL cloud and used it for data analysis.

Education

Shri Ramdeobaba College of Engineering and Management

Bachelor of Technology - BTech, Artificial Intelligence

Dec 2021 - Jun 2025

Shri Ramdeobaba College of Engineering and Management

B.Tech / B.E., Computer Science and Engineering (CSE)

2025

70.1%

Maharashtra State Board

Class XII

2021

87.33%

Central Board of Secondary Education

Class X

2019

92.88%

Skills

Data ScrapingWeb DevelopmentInformation RetrievalSentiment AnalysisUser Interface DesignComputer EngineeringSemantic SearchSearch EnginesProcess IntegrationDatabase AnalysisWorkflow AnalysisComputer LiteracyComputer Science EducationPrediction MarketsLanguage SkillsTrend ForecastingNatural Language Processing (NLP)Artificial Intelligence (AI)Skills AnalysisData IntelligenceAnalytical SkillsMicrosoft Power AppsPython (Programming Language)SQLReact.jsNode.jsSnowflakeMachine LearningArtificial IntelligencePython ProgrammingHTMLCSSJavaScriptNatural Language ProcessingRetrieval-Augmented GenerationLarge Language ModelsPrompt EngineeringSearch Engine ArchitectureStreamlit

Projects

RAG Based CLI Search Engine

Engineered a CLI-based retrieval-augmented generation application with summarization, question answering, and source citation features. Implemented keyword, semantic, and hybrid retrieval architectures; query augmentation; re-ranking strategies; quantitative evaluation using Precision, Recall, and F1; and LLM-based response scoring. Technologies included Python, large language models, machine learning, and retrieval-augmented generation.

Stock Prediction using Sentiment Analysis

Programmed a Reddit scraper to collect posts from stock-related subreddits, analyzed sentiment using natural language processing, developed a stock price movement prediction model, and deployed the user interface with Streamlit.