Kaartik Issar

About Me

I am a data enthusiast with experience building end-to-end pipelines, predictive models, NLP systems, and scalable cloud workflows. I have worked across industry, research labs, and government organisations, using ML to solve problems in education, healthcare, telecommunications, and public policy.

My work spans supervised/unsupervised learning, data engineering, model deployment, and AI-driven analytics. I also have published academic work and continue to contribute to applied ML research.

Professional Experience

Bell Canada - Data Engineering Developer

Jul 2024 - Present | Toronto, Canada

Built data pipelines in GCP and SAS migrating 10M+ customers to Bell’s new Contact Centre AI Platform.
Fine-tuned voice-transcription models and built regex pipelines for sensitive-data redaction.
Developed anomaly-detection using Isolation Forest & statistical thresholds.
Built a code translation model using Vertex AI to convert SAS ETL workflows to GCP pipelines.

Akiko Sherman Infotech - Founding Data Science Engineer

Apr 2024 - Present | Remote, India

Leading development of an AI diagnostic platform for early disease detection.
Designed NLP + ML pipelines for lab data and clinical notes.
Deployed a real-time clinical insights dashboard with Streamlit + FastAPI.
Built secure hospital-data pipelines using GCP, BigQuery, and Airflow.

Kuarts Inc - Data Science Intern

Jan 2024 - Apr 2024 | Toronto, Canada

Developed NLP pipelines for extracting financial data from semi-structured documents.
Used OCR + Adobe APIs for automated text extraction.
Integrated ML models to enhance reliability of data categorisation.

Bell Canada - AI/Data Engineering Intern

May 2023 - Aug 2023 | Toronto, Canada

Built forecasting models (ARIMA, Prophet) for SLA adherence & job success.
Created Airflow DAGs for deployment workflows.
Built dashboards in MicroStrategy for monitoring operational KPIs.

Akiko Sherman Infotech - Data Science Intern

Apr 2022 - Aug 2022 | New Delhi, India

Designed and validated supervised clinical-risk models using regularised logistic regression, incorporating fairness diagnostics and probability-calibration checks.
Developed real-time IoT pipelines with Airflow + GCP.
Engineered robust data-quality safeguards for hospital EHR streams.

Research Experience

Cluster Innovation Centre - Data Science Researcher (Peer-review) (Abstract)

Aug 2024 - Present

The work derived from my time at Cluster Innovation Centre has resulted in an independent research paper now under peer-review at Journal Revista de Psicología.
Built ML pipelines modelling non-linear student achievement drivers.
Used MI, correlation maps, and multicollinearity analysis to extract structural patterns.
Designed teacher-oriented AI frameworks for actionable educational insights.
Used neural networks to uncover hidden interaction effects.

National Centre for Literacy (Ministry of Education, GOI) - ML Research Assistant (link)

Jan 2023 - Jul 2023

Modelled literacy progression using nationwide assessment datasets.
Built preprocessing + feature-engineering pipelines at scale.
Trained supervised models and performed survival analysis for dropout prediction.

CHAI Labs, University of Toronto - Research Assistant (link)

Dec 2021 - Apr 2022

Built secure ETL pipelines integrating Dexcom & Fitbit APIs.
Automated participant-ops through bots linked to study-tracking.
Designed bias-minimised survey frameworks and research workflows.

Cluster Innovation Centre - Computational Mathematics Research Assistant (link)

Apr 2020 - Sept 2020

Implemented complex-number transformations and matrix-based geometric algorithms using MATLAB to model pentagonal tilings.
Developed simulation scripts to verify tiling constraints, generate visualisations, and support reproducible computational experiments for the Springer-published study.
Collaborated on mathematical derivations and computational validation pipelines, contributing to the final publication.

Data Science for Social Good

MajorMatch.ai - Non-profit (College Major Guidance) (website) (link)

Data-driven counselling for students

MajorMatch.ai uses academic strengths, interests and Big Five personality profiles to provide compassionate, data-backed major recommendations.
Helped over 500 high school students with comprehensive AI-generated reports that reduced mismatch risk and improved clarity in stream selection.
Received a certificate of appreciation from SD Public School and launched a public website to share guidance resources.

Resource Person - STEM Ignite Workshops (link)

Community outreach & mentoring

Conducted hands-on workshops for 200+ students teaching website development and applied data concepts.
Helped organise the event logistics, curricula and mentoring tracks for student projects.

Semantic Climate - AI Intern (Climate Literature Mining) (link)

AI tools for climate research

Built tooling to extract and structure insights from UN climate reports and public literature.
Presented the work at the PIAGET Hackathon and was part of the winning team.