
Detail-oriented data analyst with expertise in Python, SQL, and machine learning. Developed predictive models and dashboards to enhance operational efficiency and decision-making.
• Analyzed industrial datasets to identify trends and improve operational efficiency
• Designed dashboards to monitor inventory, stock movement, and warehouse performance
• Developed predictive models for demand forecasting using historical data
• Generated actionable insights to support decision-making in manufacturing workflows
• Collaborated with teams to improve data-driven reporting and system performance
• Worked on data handling and backend logic for web applications
• Assisted in debugging, testing, and improving application performance
• Collaborated in team-based projects and followed software development practices
Programming & Querying: Python, SQL, R
Data Analysis: Data Cleaning, Data Transformation, Exploratory Data Analysis (EDA)
Visualization: Matplotlib, Seaborn, Dashboard Creation (Power BI / Tableau if applicable)
Tools & Technologies: Excel, Pandas, NumPy, Git, GitHub
Concepts: Statistical Analysis, Data Modeling, Forecasting, KPI Tracking
Additional Exposure: Machine Learning, Computer Vision