Kotte Vamshi Thilak

Data Analyst | Data Visualization Specialist
Manuguru, IN.

About

Highly motivated and detail-oriented Data Analyst with foundational skills in data visualization and machine learning, eager to leverage expertise in Power BI, SQL, and Python for impactful insights. Proven ability to transform complex datasets into actionable dashboards and predictive models, as demonstrated by successful projects in healthcare, sales, and image classification. Committed to continuous learning and contributing to data-driven decision-making within a dynamic organization.

Education

CMR Technical Campus
Hyderabad, Telangana, India

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Bachelor of Technology

Computer Science and Design

Grade: CGPA: 7.45

Govt Polytechnic Kothagudem
Kothagudem, Telangana, India

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Diploma

Electronics and Instrumentation

Grade: CGPA: 7.96

Holy Family E/M High School
Manuguru, Telangana, India

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SSC

General Studies

Grade: CGPA: 8.2

Certificates

AI Dashboards using Microsoft Power BI

Issued By

Jatin Shah

Google Cloud Career Readiness Data Analyst Track Certificate

Issued By

Google Cloud

Skills

Database

SQL.

Data Analytics Tools

Power BI, MS Excel.

Soft Skills

Problem Solving, Time Management, Team Collaboration, Quick Learning.

Interests

Sports

Badminton, Carroms.

Hobbies

Listening to Music.

Projects

Power BI Dashboard: Healthcare Dashboard - Inpatients and Outpatients

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Summary

Developed a comprehensive Power BI dashboard to monitor key performance metrics for inpatient and outpatient services, enabling real-time insights and strategic decision-making.

Power BI Dashboard: SN Corp Sales and Profit Analysis

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Summary

Created an interactive Power BI dashboard for SN Corp to visualize key sales metrics, enabling dynamic exploration and performance analysis across regions and timeframes.

Classification Separation of WhatsApp Images Using Machine Learning

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Summary

Built a Convolutional Neural Network (CNN) model using Keras to automate the classification and sorting of WhatsApp images, improving organization and accessibility.

A Road Accident Prediction Model Using Data Mining Techniques

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Summary

Engineered a predictive model using data mining techniques to analyze historical road accident data, identifying high-risk conditions to enhance road safety.