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RGUKT-RK VALLEY
RGUKT-RK VALLEY
Hyderābād, Telangana, India
I don’t just build models — I build systems that solve real problems. I’m a Machine Learning and GenAI enthusiast focused on turning raw data into intelligent, production-ready solutions. From predictive models to full-stack AI applications, I enjoy working across the entire pipeline — data, modeling, and deployment. 🔧 What I’ve done: → Built a full-stack AI automation platform using Flask, PostgreSQL, and Google Gemini API that handles 100+ API requests/day and reduced manual effort by 70% through automated content generation and publishing. → Developed a loan risk prediction system using Machine Learning algorithms like Logistic Regression, Decision Tree, and Random Forest, achieving 83% accuracy. → Created interactive Power BI dashboards delivering actionable insights, including identifying +46.8% YoY sales growth and +48.4% profit improvement. 🧠 My strengths: • Strong foundation in Machine Learning & Data Analysis • Ability to take projects from idea → model → production • Experience with GenAI, RAG, and real-world automation systems 🛠 Tech Stack: Python • SQL • Machine Learning • Power BI • Pandas • NumPy • Flask • PostgreSQL • Generative AI • LangChain 🎯 What I’m looking for: I’m actively seeking opportunities in: • Machine Learning Engineering • Data Analytics / BI • AI / GenAI Product Development If you're building impactful, data-driven systems and need someone who can execute end-to-end — let’s connect. 📩 ragipatisireesha.job@gmail.com
RGUKT-RK VALLEY
B. Tech
December 13, 2020 – April 14, 2024
ZAYN LEVI TECHNOLOGIES PVT LTD
Data Science with Gen AI Intern
May 4, 2025 – November 26, 2025
Hyderābād, Telangana, India
Loan Eligibility Automation Engine
April 2, 2026 – April 5, 2026
Developed an end-to-end Machine Learning pipeline for real-time loan eligibility prediction, enabling faster and data-driven lending decisions. • Built ML models using Logistic Regression and Decision Trees, achieving 84% test accuracy on a 600+ record dataset • Performed advanced EDA including Box-Cox transformations and mode imputation to handle skewness and missing data • Applied feature selection techniques (Filter & Ensemble methods), identifying Credit History as the most impactful predictor • Evaluated model performance using 5-Fold Cross-Validation, ROC-AUC (0.73), and Confusion Matrix • Optimized model performance using GridSearchCV for hyperparameter tuning
View ProjectSuperstore Sales Analysis Dashboard
March 22, 2026 – March 25, 2026
Built an end-to-end Business Intelligence dashboard using Power BI to analyze retail sales performance, profitability trends, and customer segmentation, enabling data-driven decision making. • Developed an interactive dashboard analyzing ~10,000+ records across sales, profit, and return metrics • Identified +46.8% YoY sales growth ($2.3M) and +48.4% profit increase ($286K) • Performed data cleaning and transformation using Power Query and structured data modeling • Built advanced DAX measures for YoY comparison, profit margin, and KPI tracking • Designed visuals including time-series trends, geographic maps, and segment analysis dashboards • Identified loss-making categories (Tables, Bookcases) and provided actionable business recommendations
View ProjectAI Resume Screener & Candidate Ranking System
March 1, 2026 – March 6, 2026
Built a full-stack NLP-based web application that analyzes resumes against job descriptions and provides intelligent scoring, ranking, and skill gap insights in real time. Key Highlights: • Developed a resume screening system using TF-IDF Cosine Similarity and semantic scoring, delivering results in under 3 seconds • Engineered a Flask-based REST API backend with PyMuPDF for PDF parsing and regex-based keyword extraction • Built a skill gap analysis engine covering 20+ in-demand tech skills • Designed a responsive UI with HTML, CSS, and JavaScript featuring dynamic progress bars and auto-detected strengths • Deployed the application on Render for real-world accessibility
View ProjectSQL (Advanced) Certificate
HackerRank
October 5, 2025 – Present
Machine Learning with Python
Cognitive Class
September 14, 2025 – Present
Python 101 for Data Science
Cognitive Class
September 7, 2025 – Present
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Achieved a perfect score, indicating a comprehensive and accurate understanding of Data Science and Artificial Intelligence principles and applications, as well as strong problem-solving abilities within this domain.
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The psychometric test score of 66% indicates a reasonable but not exceptional alignment with typical workplace cultural attributes such as logical reasoning, work attitude, stress handling, and team collaboration. This suggests a generally acceptable fit, but specific team dynamics and cultural nuances would require further exploration during the interview process.
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