My internship at Anand Chemiceutics was focused on data engineering and automation. I worked on building efficient data transformation pipelines that significantly improved the company's data processing workflows.
Key Achievements
Data Automation
Automated data transformation with Python scripts, utilizing Pandas for file conversions and optimizing numerical operations with NumPy. This automation reduced processing time by 75%, drastically improving the efficiency of data workflows.
Pipeline Optimization
Boosted pipeline efficiency by 10x through the elimination of manual data conversion and integration of automated processes. This not only saved time but also significantly reduced human error in data handling.
Quality Assurance
Implemented robust testing methodologies to reduce OCR error rate for scanned documents to below 1%. This improvement in accuracy and reliability was crucial for maintaining data integrity across the organization's systems.
Learning Experience
This internship was my first real exposure to data engineering and automation at scale. I learned the importance of writing efficient, maintainable code and the impact that automation can have on business processes. Working with real-world data challenges taught me valuable lessons about error handling, testing, and optimization.