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Narasimha Reddy Mudukundla

@narasimhareddymuduku

I build Python and SQL machine learning workflows for clean, validated, actionable data.

India
Message

What I'm looking for

I'm seeking a data-focused team where I can work with real-world production data and contribute to data quality, visualization, validation, and AI-driven data operations.

I've built end-to-end Python and SQL projects for news categorization, heart attack risk prediction, laptop price estimation, and banana quality classification. My work turns structured and unstructured datasets into validated predictions and analytical outputs.

I use Pandas, NumPy, Scikit-learn, TF-IDF, and Streamlit to clean data, engineer features, train models, evaluate results, and create interactive prediction interfaces.

I'm particularly interested in data quality, visualization, human-in-the-loop validation, and AI-driven data operations. I'm continuing to develop my knowledge of production data workflows, dashboarding, cloud data concepts, and AI/LLM-based extraction pipelines.

Experience

Work history, roles, and key accomplishments

MO

Data Analyst

ML Data Operations

Detail-oriented B.Tech graduate in Electrical and Electronics Engineering with hands-on experience in Python, SQL, data analysis, machine learning, NLP, and data visualization. Skilled in data cleaning, preprocessing, exploratory data analysis, feature engineering, data validation, and interpreting structured and unstructured datasets.

Education

Degrees, certifications, and relevant coursework

RT

Rajeev Gandhi Memorial College of Engineering and Technology

Bachelor of Technology, Electrical and Electronics Engineering

2021 - 2025

Grade: 8.2/10

Pursued a Bachelor of Technology in Electrical and Electronics Engineering, achieving a CGPA of 8.2/10.

VC

Vidhyanikethan Junior College

Intermediate, MPC

Completed Intermediate with a focus on MPC (Mathematics, Physics, Chemistry).

SS

Sri Vidhyanikethan English Medium High School

SSC, General

Completed SSC (Secondary School Certificate).

Tech stack

Software and tools used professionally

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