Open to opportunities

Karukonda Sindhuja

@karukondasindhuja

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Aspiring data scientist specializing in machine learning, data analysis, and deployable AI solutions.

India

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What I'm looking for

I seek entry-level roles where I can apply ML and data-analysis skills to build deployable models, work on computer vision projects, and grow with collaborative, impact-driven teams.

I am a B.Tech Computer Science (Data Science) graduate with hands-on experience building ML and deep learning systems, from recommendation engines to plant disease detectors.

My internships and projects emphasize practical impact: I improved music recommendation accuracy with hybrid filtering and matrix factorization, built an agricultural ML pipeline to optimize yields, and developed a deep-learning plant disease detection model deployable on mobile and edge devices.

I also delivered a SQL and Power BI analysis of retail campaigns that highlighted a 110% average revenue increase, demonstrating my ability to turn data into business insights and dashboards for stakeholders.

I bring strong programming fundamentals (Python, C/C++), applied ML/DL skills, and a collaborative mindset focused on deploying robust, user-centered solutions.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Unknown

May 2022 - Nov 2022 (6 months)

Improved music recommendation accuracy using collaborative and content-based filtering, matrix factorization, and real‑time learning; evaluated models with precision, recall and F1-score.

Machine Learning Collaborative Filtering Matrix Factorization Python Recommendation Systems

Education

Degrees, certifications, and relevant coursework

VNR Vignana Jyothi Institute of Engineering & Technology

Bachelor of Technology, Computer Science and Engineering (Data Science)

2020 - 2024

Grade: 8.5/10.0

Activities and societies: Internship: Music Recommendation System; Projects: Agricultural production optimization, Festive Campaign Analysis (Power BI), Plant leaf disease detection (Deep Learning).

Bachelor of Technology in Computer Science and Engineering (Data Science) with a CGPA of 8.5/10.0, focusing on machine learning, data analysis, and deep learning.