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codewithsahara

Sahara Murtaza

@codewithsahara

Junior AI Developer

Paquistão
Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am an aspiring Artificial Intelligence professional currently advancing my expertise at Kairiz Cyber Technologies as a Junior AI Intern. I have strong foundations in Python and AI core concepts, and I design and implement end-to-end Machine Learning and Deep Learning solutions. I am committed to delivering high-quality work, clear communication, and on-time project completion.... Saiba mais

Habilidades

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codewithsahara
Sahara Murtaza
offline • 

Conheça meus serviços

Software e Sites de IA
I will build python, machine learning, and ai projects
A partir deUS$ 10 /projetoMais detalhes
Programação e Tecnologia
I will do python data cleaning ,data analysis and visualization
A partir deUS$ 10 /projetoMais detalhes

Experiência profissional

Junior AI developer

KaiRiz Cyber Technologies

Jun 2025 - Present • 1 yr 1 mo

My role as a Junior AI Intern involved applying foundational Artificial Intelligence and Machine Learning concepts to develop, test, and optimize intelligent solutions. I worked with real-world datasets to build predictive models, perform data preprocessing, and support AI-driven decision-making processes. This experience strengthened my understanding of machine learning workflows, data pipelines, model evaluation techniques, and AI applications in business environments. Core Responsibilities & Contributions  Applied Python programming for AI development, utilizing libraries such as Scikit-learn, Pandas, NumPy, and Matplotlib for data handling and model implementation.  Collected, cleaned, and preprocessed structured and semi-structured datasets to prepare them for machine learning tasks.  Performed Exploratory Data Analysis (EDA) to identify patterns, trends, correlations, and outliers impacting model performance.  Assisted in building and training supervised learning models including regression and classification algorithms.  Evaluated model performance using metrics such as accuracy, precision, recall, F1-score, and confusion matrix.  Supported feature engineering processes to improve model accuracy and generalization.  Contributed to automation of data preprocessing and model evaluation workflows to enhance efficiency.  Collaborated with senior team members to understand real-world AI applications in business analytics, forecasting, and intelligent decision systems. Impact & Achievements  Contributed to improved prediction accuracy through structured preprocessing and feature selection techniques.  Reduced manual effort by assisting in automating model training and evaluation processes.  Transformed raw datasets into actionable AI-driven insights supporting data-informed decisions.  Developed a strong foundation in Machine Learning fundamentals, model lifecycle management, and AI problem-solving methodologies.  Gained practical exposure to