Moeed Kundi Email & Phone Number

• Managing the data science team in the broader digital transformation goal of Interloop vision.• Helped solve bottlenecks in large scale textile production processes in one of the largest export industries in Pakistan.• Developed demand and sales forecasting models using the historical order data for styles, categories, seasons, customers, fabric and wash codes.• Oversaw and lead computer vision projects of shade variation and shrinkage measurement in Interloop denim production plant.• Formulated a strategy to handle multi-source data (Excels and Databases) to achieve a single digitalization objective.• Developed a dynamic filterable and fully automated data visualization pipeline using Tableau and data engineering techniques to help Quality Assurance team in Denim plant to assess possible risks for new orders using KPI and historic risk data.• Developed predictive models to replace major bottlenecks in sales/bulk production order pipelines for high priority customers like Target, Nike, Adidas, Amazon etc.

Islāmābād, Pakistan

Part of migration from IBM to IBM's spinoff company 'Kyndryl'. Product, Team and Role Description remained same as it was in IBM

• Developed a self-learning system (STAAR) for automating ITSM processes resulting in an decrement of average 40% in resolution time while increasing average 25% accuracy from manual assignments.• Achieved 98% predictive classification accuracy using both ready to use architectures like Fasttext/IBM Watson and self-designed ensemble classifiers like Naive Bayes, Random Forest etc. to ensure efficient automation of client’s manual effort.• Expanded STAAR’s capability from classification to anomaly detection features through advanced clustering algorithms on ITSM ticket texts.• Analysed clients' data at every stage from initial proposal to feature developments and found key trends through statistical and standard analytics to add value for client in solution.• Designed and implemented end to end machine learning pipelines best suited for each client’s data and ambitions.• Researched and implemented state of the art NLP techniques to keep up with the latest additions in machine learning and analytical domains.• Made sure the implemented solutions ticks every client’s security requirement of IBM from data handling to production stability.• Part of collective team effort by following agile environments including scrum and git repositories maintenance in the truest form.

• Handled AI and machine learning side of the company, with main focus on computer vision and image processing projects.• Developed logo recognition and advertisement screen time recorder for company’s product VAASI.• Worked on audio transcription for Urdu language using self-collected audio data.

Benazir Bhutto International Airport, Islamabad

Interned at IT Department, CAA. Developed web and SQLbased complaint management system and gained experience in Network handling at the airport.