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Aresha Arshad

@areshaarshad

Data scientist and PhD researcher at Carleton University, published for a document-understanding model that reached 91.35% F1 on FUNSD.

Canada

Message

At the National Communication and Strategy Unit, Ministry of Information and Broadcasting, I applied data analytics and machine learning to media monitoring and economic impact analysis. I also developed NLP workflows that turned unstructured data into research-ready formats.

My document-understanding research was published in IJDAR and DICTA; the model achieved 91.35% F1 on FUNSD. I’m transitioning into a PhD in Data Science, Analytics and Artificial Intelligence at Carleton University, building on applied ML work in industry and government settings.

Experience

Work history, roles, and key accomplishments

Data Scientist

National Communication and Strategy Unit, Ministry of Inform

Feb 2025 - Jun 2026 (1 year 4 months)

Applied data analytics and machine learning to support media monitoring and economic impact analysis. Developed NLP workflows to transform unstructured data into structured, research-ready formats.

Data Analysis Machine Learning NLP Data Pipelines

Software Developer

Horizon Tech Services Pvt Ltd

Mar 2024 - Feb 2025 (11 months)

Led data annotation team using CVAT and Label Studio, optimizing workflows for 30% efficiency improvement. Managed high-volume data pipelines for CV, NLP, and Generative AI projects with prompt dataset delivery.

CVAT LabelStudio Data Pipelines Computer Vision NLP Generative AI LLM Fine tuning Llama 3.2 LLaMA 3 Mistral GPT 3.5 Turbo

Conversational AI Developer

Convsol

Sep 2023 - Jan 2024 (4 months)

Built Rasa-based chatbots for medical clinics and auto services, reducing manual scheduling by 40%. Designed NLP pipelines with custom intents and entities for context-aware conversational flows.

Rasa NLP Chatbot Development Voicebots Intent Detection Entity Extraction

Data Science Researcher

Institute for Pure and Applied Mathematics (IPAM), Universit

Jun 2022 - Aug 2022 (2 months)

Developed GumGum traffic optimizer on Google Cloud using Random Forest and Avro files. Achieved 25% reduction in advertising traffic while maintaining operational costs under 1%.

Google Cloud Platform Random Forest Avro Python Machine Learning Data Processing

Education

Degrees, certifications, and relevant coursework

Carleton University

PhD, Data Science, Analytics and Artificial Intelligence

2026 -

Activities and societies: Research Assistant under Dr. Junfeng Wen

Pursuing a PhD in Data Science, Analytics and Artificial Intelligence, with research under Dr. Junfeng Wen. Expected completion in August 2030.

National University of Sciences and Technology (NUST)

Master of Science, Data Science

2022 - 2025

Activities and societies: Thesis: Enhancing Multimodal Information Extraction from Visually Rich Documents (Published); Coursework: Machine Learning, Deep Learning, NLP, Big Data Analytics, Statistical Methods

Completed a Master of Science in Data Science, with a thesis on enhancing multimodal information extraction from visually rich documents, which was published.

National University of Sciences and Technology (NUST)

Bachelor of Science, Mathematics

2018 - 2022

Activities and societies: Coursework: Machine Learning, Information Visualization, Data Mining, Pure & Applied Mathematics

Completed a Bachelor of Science in Mathematics with a specialization in Data Science, covering coursework in machine learning, data mining, and applied mathematics.