Entry-Level Data Analyst & AI Intern

HARITAA DEVI K M

+91-894******* ***************@*****.*** linkedin.com/in/haritaa-devi-k-m-61656b2a4 CAREER SUMMARY:

Seeking an entry-level opportunity in Data Analytics, Business Analysis, or Project Coordination where I can apply my technical knowledge, problem-solving skills, and communication abilities while learning new technologies and contributing to organizational success. Data Analytics & Tools: Power BI, Microsoft Excel, Microsoft Word, PowerPoint, Pandas, NumPy Project Management & Concepts: Jira, Git, GitHub, SDLC, Agile Methodology Programming : SQL, Python, HTML, CSS, JavaScript (Basic) Professional Skills: Communication, Problem Solving, Teamwork, Adaptability, Quick Learning AI & Data Analytics Intern AICTE, Shell India & Edunet Foundation (Apr 2025) Project : Multi-Class Animal Recognition for Wildlife Conservation Tools & Technologies : Python, TensorFlow, Keras, OpenCV Description : Cleaned and preprocessed wildlife image datasets and developed a deep learning model for wildlife image classification.

AI Azure Intern Microsoft, AICTE & Edunet Foundation (May 2025 – Jun 2025) Project : Email Spam Detection

Tools & Technologies : Python, Pandas, NumPy, Scikit-learn, Matplotlib Description : Cleaned and analyzed email datasets and built a machine learning model to classify spam and non-spam emails.

Mobile Application Development Intern Codevinez (Jun 2025 – Jul 2025) Project : To-Do List Mobile Application

Tools & Technologies : React Native, JavaScript, VS Code Description : Built a front-end mobile application with responsive UI, reusable components, and task management functionality using React Native.

AI Intern Infosys Springboard – Internship 6.0 (B3) (Sep 2025 – Nov 2025) Project: AgroBot – Universal AI-Based Agricultural Assistant Tools & Technologies: Python, Flask, HTML, CSS, JavaScript, Gemini API Description: Developed an AI-powered web application for crop recommendations and agricultural guidance.

Academic Project Final Year Project

Project: AI-Based Multimodal & Multilingual Disease Prediction and Health Guidance Tools & Technologies: HTML, CSS, JavaScript, AI API, PyCharm Description: Developed an AI-powered web application for disease prediction with multilingual health guidance.

Kingston Engineering College BE Computer Science and Engineering 2026 CGPA: 8.66 Auxilium Girls Higher Secondary School Higher Secondary Certificate 2022 85% Auxilium Girls Higher Secondary School Secondary School Leaving Certificate 2020 81.6% Google Skill Boost - Data Analytics

Reliance Foundation - Project Management with Jira Coursera / IBM - Data Science Methodology

IBM SkillsBuild - Artificial Intelligence Fundamentals NPTEL - Python for Data Science

Guvi - Generative AI, Python

Infosys Springboard - Python programming and AI/ML concepts SKILLS:

INTERNSHIPS AND PROJECTS:

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