Junior Data Analyst and Machine Learning Engineer

I am a Statistics and Computer Science graduate with hands-on experience in data analysis, statistical reporting, machine learning, and data visualization. I use Python, SQL, R, Excel, SPSS, Power BI, and Tableau to transform raw data into clear, actionable insights.

I have worked as a freelance data analyst, supporting more than 10 university graduation projects across multiple disciplines. My work included data cleaning, exploratory analysis, statistical testing, regression, ANOVA, SQL querying, dashboard development, and documentation for research reporting.

I am currently completing a project-based remote Machine Learning internship with Codveda Technologies. I apply data preprocessing, feature engineering, model development, and evaluation techniques to deliver solutions for assigned datasets.

I have developed machine learning and AI projects involving time-series forecasting, image segmentation, classification, retrieval-augmented generation, multi-agent systems, and analytics dashboards. My projects use tools such as Scikit-learn, TensorFlow, LangChain, Google ADK, Pinecone, Supabase, FastAPI, and Docker.

I am particularly interested in data science, machine learning, AI engineering, and business analytics roles where I can combine statistical thinking with practical software and data skills. I continuously strengthen my knowledge through Google, DeepLearning.AI, Coursera, Kaggle, and hands-on competition projects.

I communicate technical findings clearly through dashboards, reports, and visualizations, and I am comfortable working remotely on structured deliverables and tight deadlines. I am seeking junior opportunities where I can contribute to data-driven products and continue growing as a data and machine learning professional.