Syed Mohd Emad Imam

Collaborated with stakeholders, conducted research, and prepared project proposals. Developed data science standards and best practices within the company. Contributed to team discussions on emerging AI technologies. Experienced in developing Azure Function APIs and managing Function App APIs. Proficient in creating and automating Dropbox API interactions, alongside designing APIs for Azure SQL Database and Cosmos for seamless data retrieval, uploading, and stored procedure implementation.

Areas of work: Data Science and Modelling, Machine Learning, Deep Learning, Predictive Analytics, Customer Analytics, Text Analytics and Natural Language Processing (NLP). Technologies Used: Python, MySQL, Apache Spark, Keras, NoSQL, LLM, Bert.

Developed and optimized OCR algorithms for text extraction. Implemented ML models for image and voice-to-text conversion. Analyzed textual data and call records for insights. Utilized advanced NLP techniques for semantic search and data interpretation. Developed systems for pattern analysis and network diagram generation from call data.

Learning analytics tools and technologies such as Python, Tableau & SQL. Applying industry relevant machine learning techniques such as Regression, Classification, Clustering, Predictive Modelling, Time Series Forecasting, NLP. Learning to structure a business problem into an analytics framework using statistics and data modelling. Building model with machine learning techniques. Performing data cleaning and data transformation operations using several tools and techniques.