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shaistashahid86

Shaista Shahid

@shaistashahid86

Data Analyst, Ai Engineer, Kaggle Grandmaster

Pakistan
English
About me
I am an AI Engineer and Data Scientist with expertise in LLMs, RAG systems, AI agents, machine learning, and data analytics. I build intelligent AI solutions that automate workflows, improve decision-making, and create business value. Skilled in Python, SQL, FastAPI, LangChain, OpenAI, vector databases, and ML frameworks, I develop scalable, production-ready applications. From AI chatbots and RAG pipelines to predictive models and data analysis, I help businesses turn data and AI into practical, impactful solutions. ... Read more

Skills

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shaistashahid86
Shaista Shahid
Offline • 

See my services

Financial Analytics
I will deliver qualitative data analysis, coding and thematic research reports
From$20 / projectMore details
Machine Learning
I will build ai, machine learning models and data science solutions for business
From$90 / projectMore details

Portfolio

Work experience

Kaggle

Kaggle Datasets Master

Kaggle • Self-employed

Feb 2026 - Present • 5 mos

• Datasets Grandmaster specializing in data cleaning, preprocessing, and large-scale dataset analysis for AI and machine learning. • Experienced in Python, Pandas, NumPy, EDA, and feature engineering to prepare high-quality datasets. • Passionate about transforming raw data into actionable insights for research and business solutions.

Machine Learning Engineer intern

Arch Technologies • Part-time

Mar 2025 - May 2025 • 2 mos

• Gained hands-on experience in machine learning workflows and Python programming during a remote internship at Arch Technologies. • Developed a Crop Prediction Web Application using Flask, focusing on model training based on environmental factors. • Achieved over 95% accuracy in the MNIST Digit Recognition project, deploying the model via Gradio. • Documented all tasks thoroughly, enhancing technical skills in tools like Google Colab and GitHub. • Gained hands-on experience in machine learning workflows and Python programming during a remote internship at Arch Technologies. • Developed a Crop Prediction Web Application using Flask, focusing on model training based on environmental factors. • Achieved over 95% accuracy in the MNIST Digit Recognition project, deploying the model via Gradio. • Documented all tasks thoroughly, enhancing technical skills in tools like Google Colab and GitHub. Skills: Python (Programming Language) · Statistical Data Analysis · Scikit-Learn · Seaborn · Matplotlib · Linear Regression · Machine Learning

Data Science Trainee

atocamp • Part-time

May 2024 - Oct 2024 • 5 mos

Assisted in cleaning, preprocessing, and analyzing datasets to extract meaningful insights for business decision-making. Built and evaluated machine learning models under senior supervision to support predictive and analytical tasks. Created reports, visualizations, and documentation to communicate findings clearly to technical and non-technical stakeholders.