• Lead the development of prototypes and extracted actionable insights for Nielsen and BAT-UK by identifying data patterns and operational gaps, improving business strategies and efficiency. • Partnered with cross-functional teams to process and analyse EBM sales data, delivering interactive dashboards that provided key insights and supported data-driven decisions. • Streamlined data preparation for large-scale language models by consolidating datasets into unified formats, ensuring high data quality and optimising model performance. • Led the development of an automated data pipelining system for multidimensional sales analysis, focusing on enhancing the efficiency and accuracy of data processing by implementing a class-based code structure in Python.• Conducted semantic refactoring to transform the existing functional code into a more organized and modular format, aligning it with the entities present in the system.• Utilized Python's advanced libraries and modules for data manipulation, such as Pandas and NumPy, to facilitate data handling and analysis.• Implemented automated data extraction, transformation, and loading (ETL) processes using tools like Apache Airflow data flow and improved data integrity.• Designed and implemented scalable and fault-tolerant data pipelines, integrating various data sources and optimizing the processing speed through parallel computing techniques.•

Working for the world's Leading FMCG ( Unilever, Reckitt Benckiser, British American Tobacco) and many more Providing them key insights using state-of-the-art, ML and Data Science algorithms.• Developed a Python-based Machine Learning project using the K-Means algorithm to cluster shop coordinates considering time constraints for efficient distribution planning.• Conducted comprehensive performance evaluations and fine-tuned the model to ensure precise clustering results, aligning with business objectives.

• Designed and implemented a robust charging infrastructure, Revitalize Charging Solutions, facilitating electric vehicles to seamlessly approach and authorize themselves at charging stations for efficient charging, all while managing transactions securely.• Contributed to a US-based company's diverse portfolio of websites, generating revenue through advertisements.• Integrated the server with the existing infrastructure, ensuring smooth operation and scalability of the charging solution.• Collaborated with cross-functional teams to coordinate efforts and meet project deadlines effectively.

Built URDU OCR with screen images, collected & extracted features from the dataset images and built a supervised model and check the model's accuracy.