Machine Learning & AI Intern / Junior Data Scientist - Tech Solutions Ltd - Bahawalpur, Pakistan
(2024-02)
- Designed and implemented machine learning models for predictive analytics, improving business decision-making process by 20%.
- Conducted data preprocessing, cleaning, and feature engineering on large datasets to ensure high-quality inputs for AI models.
- Collaborated with cross-functional teams to develop AI-driven solutions for real-world problems, including natural language processing (NLP) and computer vision (CV) applications.
- Utilized Python libraries such as Pandas, TensorFlow, PyTorch, and Scikit-learn to build and optimize algorithms for various use cases.
- Presented findings and insights to stakeholders through data visualization tools like Tableau and Power BI, ensuring clear communication of complex technical concepts.
- Assisted senior data scientists in research and development of innovative AI solutions, contributing to the publication of a research paper on deep learning techniques.
Data Analyst | Python (Data Analysis) - Personal Projects
(2024-06)
- Designed and executed end-to-end data analysis projects, transforming raw data into actionable insights to improve decision-making processes.
- Conducted data preprocessing, cleaning, and feature engineering using Pandas and NumPy, ensuring high-quality inputs for analysis and modeling.
- Built and optimized machine learning models using Scikit-learn for predictive analytics, including regression, classification, and clustering tasks.
- Collaborated on cross-functional projects to develop data-driven solutions for real-world problems, such as sales forecasting and customer segmentation.
- Utilized Python libraries like Matplotlib, Seaborn, and Plotly to create interactive visualizations, effectively communicating insights to stakeholders.
- Automated repetitive data tasks, improving efficiency and reducing manual effort in data processing and reporting.
