Ahmer Iqbal

Developed and implemented data pipelines for real-time data processing of observability data, enhancing the efficiency of data-driven decision-making processes. Led the development team in upgrading an in-house product, focusing on data engineering and leveraging NextJs framework. Implemented a 'health score' feature for the product using regression model and custom datasets, created using GitHub metrics to evaluate Devops releases and their stability for successful Go-Live.

Comprehensive experience as a Data Scientist involving requirement gathering, data collection, constructing annotation schema, model set-up, training & testing pipelines and model evaluation. SPOC for four international clients. Key use cases included temperature prediction model, text classification of fault types, predicting Battery autonomy, and Descriptive reporting of Alarm Association.

Worked as Director/Cloud Engineer understanding client requirements and R&D various LMS architecture. Handling data migration to AWS S3 buckets using Lambda. Creating CI/CD pipelines using AWS code pipeline. Configuring AWS CloudWatch on ec2 for monitoring.

Worked as Data Scientist in Social Intelligence and Analytics team. Text Classification of social media posts. Sentiment Analysis by fine-tuning BERT and Camembert models. Developing Topic Modelling scripts.

L3-support SPOC for Production and UAT applications. Liaison with client internal infra team for smooth transitioning of product releases. Architect ansible/shell scripts for performance analysis and monitoring. Lead DevOps through hardware upgrades, batch processing and client-side environment setup. Spearheaded design and deployment of Release Management process using Jenkins, Git.

Paris/Nice

Sikkim