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I am a Master of Applied Computing graduate with hands-on experience in end-to-end machine learning workflows, Python development, and applied research across healthcare, forestry, and quantum computing. I thrive in collaborative environments and enjoy translating complex data into actionable insights, all while maintaining strong organizational discipline and academic success. With seven months of IT/Data Science internships and multiple research projects, I’ve sharpened my ability to manage multiple priorities, communicate clearly with diverse stakeholders, and deliver practical solutions that balance performance, interpretability, and real-world impact.…I am a Master of Applied Computing graduate with hands-on experience in end-to-end machine learning workflows, Python development, and applied research across healthcare, forestry, and quantum computing. I thrive in collaborative environments and enjoy translating complex data into actionable insights, all while maintaining strong organizational discipline and academic success. With seven months of IT/Data Science internships and multiple research projects, I’ve sharpened my ability to manage multiple priorities, communicate clearly with diverse stakeholders, and deliver practical solutions that balance performance, interpretability, and real-world impact.

Heta Shukla

Data Scientist, Programmer, Web Developer, +2

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I am a Master of Applied Computing graduate with hands-on experience in end-to-end machine learning workflows, Python development, and applied research across healthcare, forestry, and quantum computing. I thrive in collaborative environments and enjoy translating complex data into actionable insights, all while maintaining strong organizational discipline and academic success. With seven months of IT/Data Science internships and multiple research projects, I’ve sharpened my ability to manage multiple priorities, communicate clearly with diverse stakeholders, and deliver practical solutions that balance performance, interpretability, and real-world impact.…I am a Master of Applied Computing graduate with hands-on experience in end-to-end machine learning workflows, Python development, and applied research across healthcare, forestry, and quantum computing. I thrive in collaborative environments and enjoy translating complex data into actionable insights, all while maintaining strong organizational discipline and academic success. With seven months of IT/Data Science internships and multiple research projects, I’ve sharpened my ability to manage multiple priorities, communicate clearly with diverse stakeholders, and deliver practical solutions that balance performance, interpretability, and real-world impact.

Available to hire

I am a Master of Applied Computing graduate with hands-on experience in end-to-end machine learning workflows, Python development, and applied research across healthcare, forestry, and quantum computing. I thrive in collaborative environments and enjoy translating complex data into actionable insights, all while maintaining strong organizational discipline and academic success.

With seven months of IT/Data Science internships and multiple research projects, I’ve sharpened my ability to manage multiple priorities, communicate clearly with diverse stakeholders, and deliver practical solutions that balance performance, interpretability, and real-world impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Research Assistant – AI/ML & Quantum Feature Selection Research at Wilfrid Laurier University

January 1, 2026 - Present

Addressed the challenge of improving feature selection for forest stock growth prediction by developing Python-based research workflows for data cleaning, feature engineering, and model preparation across ecological datasets. Formulated and tested QUBO/BQM-based feature-selection methods using correlation-based relevance, redundancy control, and exact-k constraint to explore efficient optimization-driven ML modelling. Compared quantum-inspired and classical feature-selection approaches using Python, D-Wave Ocean SDK, scikit-learn, and regression metrics, helping evaluate model accuracy, interpretability, and feature-reduction trade-offs. Prepared research documentation, mathematical explanations, and presentation material to communicate methodology, experimental results, and next-step recommendations to supervisors and collaborators.

Data Science Intern at Unified Mentor Pvt. Ltd.

February 1, 2024 - June 1, 2024

Delivered 2-3 data science projects, including analyzing bird strikes data for aviation safety, performing financial analytics, and uncovering patterns in Amazon sales data. Utilized tools like Matplotlib, Seaborn, and Pandas for data visualization and analysis. Identified key trends and actionable insights, improving strategic planning processes across multiple domains.

Python Developer Intern at Gujarat Alkalies & Chemicals Limited (GACL)

June 1, 2022 - July 31, 2022

Created a Photo Capture Application using Python Flask that integrated with CCTV-IP cameras to automatically capture images during truck arrivals and departures. Streamlined material tracking by enabling secure image download and server-side storage, enhancing operational efficiency and accuracy.