Sireesha Ragipati

Key Strengths

Strong foundational skills in Python, SQL, and data manipulation (Pandas, NumPy), essential for data analysis.
Demonstrated expertise in data visualization tools like Power BI and Tableau, with experience building interactive dashboards and deriving actionable insights.
Proven ability in advanced Exploratory Data Analysis (EDA), feature engineering, and statistical analysis techniques.
Experience with end-to-end ML pipelines and NLP applications, providing a strong analytical and predictive modeling background.
Solid understanding of data modeling, KPI tracking, and business recommendation generation from data.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

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

Top Skills

PythonMachine LearningSQLData AnalysisGenerative Ai

Skills

Data science & AnalyticsMysqlPythonPower BIDeep LearningModel EvaluationAi Model DeploymentModel TrainingMachine LearningGenerative AiNatural Language ProcessingSupervised Fine TuningSQLPostgresqlPandas, NumPyFlaskRest ApiData AnalysisData VisualizationPrompt EngineeringLLM applicationsRAG (Retrieval-Augmented Gener ation)Statistical AnalysisData CleansingData ProcessingProblem Solving

Education

RGUKT-RK VALLEY

B. Tech

December 13, 2020 – April 14, 2024

Experience

ZAYN LEVI TECHNOLOGIES PVT LTD

Data Science with Gen AI Intern

May 4, 2025 – November 26, 2025

Hyderābād, Telangana, India

Projects

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

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Superstore 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

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AI 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 Project

Certifications

SQL (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

Key Strengths

Strong foundational skills in Python, SQL, and data manipulation (Pandas, NumPy), essential for data analysis.
Demonstrated expertise in data visualization tools like Power BI and Tableau, with experience building interactive dashboards and deriving actionable insights.
Proven ability in advanced Exploratory Data Analysis (EDA), feature engineering, and statistical analysis techniques.
Experience with end-to-end ML pipelines and NLP applications, providing a strong analytical and predictive modeling background.
Solid understanding of data modeling, KPI tracking, and business recommendation generation from data.

Skill Analysis

Data Science & Artificial Intelligence

★★★★★

100%

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.

Machine LearningDeep LearningNatural Language ProcessingPythonStatistical AnalysisModel EvaluationPrompt EngineeringGenerative AIData ModelingFeature EngineeringHyperparameter TuningCross-ValidationROC-AUC

Strengths

Exceptional understanding of core Data Science and AI concepts.
Strong grasp of machine learning algorithms and their practical application.
Proficiency in model evaluation, validation, and optimization techniques.
Demonstrated ability in NLP and Generative AI applications, including API integration.

Cultural & Operational Fit

Cultural Fit Analysis

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.

Soft Skills & Operational Fit

The psychometric test score of 66% suggests a moderate level of logical reasoning, work attitude, stress handling, and team collaboration. While acceptable, further assessment during interviews would be beneficial to gauge deeper operational fit and resilience.