Yadagiri Kuruva

Aspiring Data Analyst/Scientist | Proficient in Python, EDA, Data Visualization, Statistics, SQL & Power BI, Excel, Machine Learning, Deep Learning · Bengaluru, Karnataka, India

I am a Data Science and Machine Learning graduate (B.Tech – AI & Data Science, 2025) with strong hands-on experience in data analysis, machine learning, and AI-driven solutions. I specialize in transforming raw, unstructured data into actionable insights that support business and product decisions. I have worked across the end-to-end data lifecycle, including data collection, cleaning, exploratory data analysis (EDA), feature engineering, model development, evaluation, visualization, and deployment. My project experience includes customer churn prediction, market and job trend analysis, sales analytics dashboards, and ML-based prediction systems, with a strong focus on business relevance, interpretability, and reliability, not just model accuracy. Technically, I am proficient in Python, SQL, Pandas, NumPy, Excel, Power BI, and Scikit-learn, with working knowledge of machine learning algorithms (regression, classification, tree-based models) and experience deploying applications using Streamlit and Hugging Face. I also have exposure to LLM-based and agentic AI workflows, where I explored prompt engineering and intelligent automation. What sets me apart is my analytical mindset and ownership-driven approach. I enjoy breaking down ambiguous problems, validating data quality, asking the right questions, and presenting insights clearly to both technical and non-technical stakeholders. I continuously upskill and actively seek feedback to improve my solutions. I am currently seeking opportunities in Data Analytics, Data Science, Machine Learning, AI roles, and internships, where I can contribute practically, learn from experienced teams, and grow into a strong data professional.

Experience

GenAI & Agentic AI Internship

Innomatics Research Labs · Nov 2025 – Present

Not yet confirmed

• Implemented GenAI and agent-based AI applications using LLMs, RAG pipelines, and LangChain.
• Gained hands-on experience developing real-time AI workflows and intelligent automation.

Data Science Internship

Innomatics Research Labs · Jan 2025 – Oct 2025

Not yet confirmed

• Performed EDA, data preprocessing, and feature engineering on real-world datasets.
• Built and deployed machine learning models using Python, scikit-learn, TensorFlow, and Streamlit.