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Ayesha Shakir

DevOps Engineer

Lahore, Punjab, Pakistan0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable data pipelines.
  • Proficient in AI-driven solutions and automation.
  • Strong background in full-stack development.
Stackforce AI infers this person is a Data & AI Engineer specializing in scalable data solutions and automation.

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Skills

Core Skills

Python (programming Language)Data EngineeringMachine LearningFull-stack Development

Other Skills

Data CleaningStreamlitExploratory Data Analysis (EDA)Generative AI for Web DevelopersDatabases: SQLExtract Transform Load (ETL)PythonPandasData VisualizationETL PipelinesWorkflow AutomationSQLGenerative AILarge Language Models (LLM)HTML

About

In today’s data-first economy, analytics and automation are the real growth engines. My mission is to bridge the gap between raw data and intelligent decision-making by building scalable pipelines and AI-driven solutions. 🌍 Data & AI Focus I specialize in the foundations of Data Engineering and Artificial Intelligence, blending Python-centric development with modern data stacks: 📊 Data Engineering: ETL/ELT, SQL, Python Automation 🧠 AI & Machine Learning: LLMs, Predictive Analytics, Data Modeling 🐍 Python Ecosystem: Pandas, Streamlit, Scikit-learn 💻 Full-Stack Development: Interactive Web Apps & API Integration 📌 Technical Highlights ✅ Data Visualization: Engineered a Social Media Analytics Dashboard to track and visualize real-time growth metrics. ✅ Web Automation: Developed a Universal CSV Explorer using Streamlit to automate data cleaning and exploratory analysis. ✅ System Design: Passionate about building end-to-end applications that solve real-world problems through code. ⚡ What I Deliver Efficiency: Automating manual data tasks using robust Python scripting. Intelligence: Integrating AI models to turn data into actionable insights. Scalability: Building clean, version-controlled, and production-ready code. 📩 Let’s Connect If you are looking for a dedicated Data & AI Engineer or a Python Developer to join your team for a project, I’d love to connect and contribute.

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Github personal projects

Python Developer ( Data & AI Projects)

Feb 2026Present · 2 mos · Lahore, Punjab, Pakistan · Remote

  • Project: Universal CSV Explorer
  • Objective: Developed a web-based "Universal CSV Explorer" to simplify exploratory data analysis (EDA) for non-technical users.
  • Key Contributions:
  • Tech Stack: Engineered the solution using Python and Streamlit, leveraging Pandas for high-performance data manipulation.
  • Automation: Integrated automated data-cleaning scripts that handle missing values and data type corrections instantly.
  • Performance: Optimized backend processing to allow users to generate summary statistics and visualizations in under 10 seconds for large datasets.
  • Version Control:Managed the entire development lifecycle via GitHub, ensuring clean code documentation and modular structure.
  • Skills: Python (Programming Language) · Data Cleaning · Streamlit · Exploratory Data Analysis (EDA)
Python (Programming Language)Data CleaningStreamlitExploratory Data Analysis (EDA)Data Engineering

Freelancer.com

Machine Learning Engineer

Jan 2026Present · 3 mos · Remote

Python (Programming Language)Generative AI for Web DevelopersMachine Learning

Github

Data & AI Developer

Jan 2026Present · 3 mos · Lahore, Punjab, Pakistan · Remote

  • Project: Social Media Analytics Dashboard
  • Objective: Engineered and deployed an end-to-end analytics dashboard designed to transform raw social media metrics into real-time decision intelligence.
  • Key Contributions:
  • Full-Stack Development: Architected an interactive interface using Python and Streamlit, enabling seamless data exploration for end-users.
  • Data Engineering: Developed automated ingestion pipelines using Pandas, reducing manual data entry and processing time by 40%.
  • Advanced Analytics: Built custom logic to track engagement trends, follower growth, and content performance metrics across multi-platform datasets.
  • Visualization: Designed dynamic charts and KPI cards to provide actionable insights at a glance, improving the speed of data-driven decision-making.
  • Technical Stack: Python | Streamlit | Pandas | Data Visualization | ETL Pipelines
Python (Programming Language)Databases: SQLExtract Transform Load (ETL)Data EngineeringFull-Stack Development

Education

Punjab Group Of Colleges

FSc

Jan 2021Jan 2023

Ripah international university

IT( information technology management) — Computer Systems Networking and Telecommunications

Jan 2024Jan 2026

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