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Dhanujaa Sudhi

@dhanujaaprakasam

Data analyst skilled in analytics, visualization, and machine learning deployment.

India
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What I'm looking for

I seek an entry-level analytics role where I can apply dashboarding, ML deployment, and data-driven decision-making to deliver measurable business impact.

I am a data analyst with practical experience in analytics, dashboarding, and applied machine learning gained through internships and academic projects. I have built interactive Power BI and Excel dashboards that improved retention strategies and sales forecasting accuracy, and I apply rigorous data preprocessing and feature engineering to produce reliable models.

During internships I analyzed business, e-commerce, and financial datasets, developed an interactive sales dashboard, and performed stock market and customer-behavior analyses. I also developed an employee salary prediction ML project and deployed it as a Streamlit web app, strengthening my end-to-end ML pipeline and deployment skills.

I work with Python, SQL, MySQL, MongoDB, Power BI, Tableau, and Excel, and I focus on turning data into actionable insights that support decision-making and measurable business improvements.

Experience

Work history, roles, and key accomplishments

AF

AI & ML Intern

AICTE - Edunet Foundation

Jun 2025 - Jul 2025 (1 month)

Developed and deployed an employee salary prediction ML project using preprocessing, feature engineering, and regression models, delivered as a Streamlit web app to support interactive predictions.

Education

Degrees, certifications, and relevant coursework

KC

Kongu Engineering College

Master of Computer Applications, Computer Applications

2023 -

Grade: 7.40 CGPA

Pursuing Master of Computer Applications with a 7.40 CGPA, coursework and projects focused on data analytics and machine learning.

KC

Kongu Engineering College

Bachelor of Science, Software Systems

2020 - 2023

Grade: 7.33 CGPA

Completed Bachelor of Science in Software Systems with a 7.33 CGPA, emphasizing software development and data analysis.

Tech stack

Software and tools used professionally

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