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Shaista Shahid
From Pakistan 01:25 PM (GMT+05:00)
$15/hr

Active 2 hours ago


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Data Science & Machine Learning Expert | Kaggle Grandmaster

Data Scientist
Available for hire
Years of experience
2+ years
Experience level
Mid-level
Available for
Contract, Freelance
Available from
17 Jun 2026
Download Resume / CV

I am a Data Scientist and Machine Learning Engineer with a strong passion for transforming data into actionable insights and building intelligent AI-driven solutions. With expertise in machine learning, deep learning, data analytics, and MLOps, I have worked on developing scalable models that solve real-world business problems.

As a Kaggle Grandmaster, I have demonstrated excellence in competitive data science, ranking among the top practitioners globally and contributing to innovative solutions across diverse domains. My experience spans predictive modeling, natural language processing, computer vision, and end-to-end machine learning deployment.

I enjoy tackling complex challenges, optimizing model performance, and turning cutting-edge research into practical applications. I am always eager to collaborate with teams that value innovation, data-driven decision-making, and continuous learning.

Languages

Employment History

Squad Leader – Business Development Intern at GAO Tek Inc. Current 2026 - Now
Supported business development initiatives by leading a cross-functional team responsible for email marketing and social media campaigns. Developed and executed targeted email outreach strategies to improve engagement and lead generation, managed social media content planning and brand promotion across multiple platforms, monitored campaign performance using analytics tools, and delivered weekly reports with actionable insights to stakeholders. Collaborated with team members to enhance marketing effectiveness, audience growth, and overall brand visibility.
Machine Learning Intern at Arch Technologies 2025 - 2025
During my remote internship at Arch Technologies, I gained practical experience in machine learning workflows, data preprocessing, model development, and Python programming. I developed a Crop Prediction Web Application using Flask, where I trained and deployed machine learning models to predict suitable crops based on environmental and agricultural factors. Additionally, I built and deployed an MNIST Digit Recognition system that achieved over 95% accuracy, making it accessible through an interactive Gradio interface. Throughout the internship, I maintained comprehensive project documentation and strengthened my proficiency with industry-standard tools, including Google Colab, GitHub, and modern machine learning development practices.

Education

Bachelor of Data Science at FAST NUCES 2023 - 2027