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P R A V E E N V A M S H I

@praveenvamshi

Entry-level Data Analyst using Python, SQL, Power BI, and Tableau to turn complex data into clear business insights.

India
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What I'm looking for

I’m seeking an entry-level Data Analyst role where I can apply analytical skills, attention to detail, and data storytelling to support business decision-making—turning raw data into clear, actionable insights.

I’m a B.Tech (Information Technology) graduate with hands-on experience in data cleaning, exploratory analysis, and visualization using Python, SQL, Power BI, and Tableau. I’ve applied statistical and machine learning techniques to extract actionable insights from real-world datasets, including a healthcare risk-prediction project.

In my Hypertension Risk Analysis project, I cleaned and preprocessed patient health data, explored patterns and correlations, and compared Logistic Regression and Random Forest using accuracy, precision, and recall. I also supported product decisions through user engagement analysis for a Party Finder application by examining UX flow and usability data, collaborating with a team using Git.

Experience

Work history, roles, and key accomplishments

AP

User Engagement Analysis

Academic Group Project

Jul 2024 - Jun 2025 (11 months)

Supported analytics for a party finder web app by analyzing feature usage and user interaction/UX flow. Evaluated UI/UX patterns across event creation and discovery, and worked with a team using Git to iterate features and incorporate feedback.

Education

Degrees, certifications, and relevant coursework

IE

Institute of Aeronautical Engineering

Bachelor of Technology, Information Technology

2022 - 2025

Activities and societies: Hypertension risk prediction using patient health data; user engagement analysis for a party finder web app (team project).

Earned a B.Tech in Information Technology, applying data cleaning, exploratory analysis, and predictive modeling using Python and ML techniques. Completed academic projects including hypertension risk analysis and a user engagement analysis for a party finder application.

Tech stack

Software and tools used professionally

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