LIKHITHA THIRUMALASETTY

Aspiring Data Analyst | 3rd-year Engineering Student

Tirupati, IN.

About

Highly analytical and detail-oriented 3rd-year Engineering student specializing in Artificial Intelligence and Machine Learning, with a robust foundation in Python, Java, and Power BI. Proven ability to transform complex datasets into actionable insights through advanced data visualization and statistical modeling, driving data-driven decision-making. Eager to apply technical expertise and problem-solving skills in an internship or entry-level Data Analyst or AI/ML role.

Education

Annamacharya Institute of Technology & Sciences

Tirupati, Andhra Pradesh, India
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Bachelor of Technology (BTech) Artificial Intelligence and Machine Learning Grade:

Courses

Data Structures and Algorithms

Statistical Methods for AI

Database Management Systems (DBMS)

Machine Learning Algorithms

Skills

Data Visualization

Microsoft Power BI, Matplotlib, Seaborn.

Programming Languages

Python, Java, C, Data Analysis Libraries.

AI/ML Specialized Knowledge

Artificial Intelligence, Machine Learning.

Tools & Platforms

Microsoft Office Suite, LinkedIn Networking.

Analytical Thinking

Problem Solving, Data-driven Solutions, Complex Problem Decomposition.

Technical Communication

Data Storytelling, Visual Communication, Power BI Reporting.

Professional Attributes

Continuous Learning, Adaptability, Proactive Skill Development.

Interests

Professional Community Engagement

AI Professional Community, Data Science Professional Community, LinkedIn Networking.

Projects

Data Visualization & Reporting (Academic Portfolio)

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Summary

Utilized Microsoft Power BI to create interactive dashboards, simplifying complex datasets for better stakeholder understanding. Applied Python scripts to automate data cleaning processes, reducing preparation time and ensuring data integrity.

Machine Learning Research & Development (Independent Study)

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Summary

Explored the integration of AI/ML principles to solve real-world analytical problems. Developed predictive models using Python-based frameworks to identify trends and patterns in sample datasets.