Gautam Raju Saripalli
AI & Data Science Student | Aspiring AI/ML Engineer | Python • SQL • Machine Learning
Hyderabad,india
sgautamraju@gmail.com
B.Tech AI & Data Science student passionate about Artificial Intelligence, Machine Learning, Data Analytics, and Generative AI. I enjoy building practical projects that solve real-world problems using Python, SQL, Machine Learning, Deep Learning, and modern AI tools. Currently strengthening my skills in DSA, data science, ML, and software development while building projects and gaining industry experience. Interested in AI/ML and Data Science opportunities, internships, and collaborative projects.
Business Intelligence Intern
Ve-Raj datamind solutions
- Developed interactive Power BI dashboards to monitor project expenses, funding, labour payments, and project progress.
- Cleaned, transformed, and prepared business datasets using Power Query.
- Created KPI cards, charts, and trend analyses to support project performance monitoring and reporting.
- Worked on a Pondicherry project dashboard focused on financial analysis and progress tracking.
- Translated business requirements into data visualizations to support reporting and informed decision-making.
StartupGenAI — AI Startup Co-Founder
Developing an AI-powered startup analysis platform with Founder and Investor modes. Designed to support startup validation, market research, competitor analysis, business planning, risk assessment, and MVP planning through AI-driven workflows.
CognitiveFlow AI
Built a machine learning project to predict cognitive focus using behavioral and lifestyle data collected through a custom Google Forms dataset of approximately 500 responses. Applied feature engineering and ensemble machine learning models to identify patterns associated with cognitive focus.
NIFTY 50 Market Volatility Prediction
Developed a market volatility prediction project using NIFTY 50 and India VIX data with 14 engineered features. Evaluated MLP, LSTM, and GRU models and implemented a validation-weighted four-class ensemble for volatility classification. The GRU achieved 35.75% accuracy, while the ensemble achieved a high-risk ROC-AUC of 0.646.
VendorPulse
Developed an AI-driven procurement vendor-risk project centered on Hindsight persistent memory, historical vendor outcomes, and context-aware risk assessment to support more informed vendor evaluations.
B.E Artificial Intelligence & Data science
Chaitanya Bharathi Institute Of Technology · 8.39
IBM SkillsBuild Data Analytics with AI Internship Program
BharatCares, in association with IBM SkillsBuild and AICTE
Sept 20265-Day AI Agents: Intensive Vibe Coding Course
Kaggle / Google
Jul 2026Salesforce Certified Agentforce Specialist
Salesforce
Dec 2025
Attendee · Oct 24, 2026