Open to opportunities

Komal Mistry

@komalmistry

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Senior Data Scientist specializing in AI and machine learning solutions.

Canada

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What I'm looking for

I am looking for opportunities that foster innovation and collaboration, where I can leverage my skills in AI and data science to drive impactful solutions.

I am a Senior Data Scientist with a strong background in AI integration and machine learning. Currently, I lead the development of innovative solutions at TopHat, where I successfully launched a textbook content recommendation system that enhances the teaching experience for professors and aids sales teams in content matching. My work involves leveraging advanced technologies such as AlloyDB, Gemini, and FastAPI to create tools that streamline educational processes.

Previously, I served as a Machine Learning Engineer at TELUS, where I developed a zero-shot classification system and churn reporting tool that significantly improved operational efficiency. My experience also includes working as a Data Scientist at Project X Ltd, where I built models to analyze sales data and customer interactions. I am passionate about using data-driven insights to solve complex problems and enhance user experiences.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist, AI Integration

Current

TopHat

Aug 2023 - Present (1 year 11 months)

Led the end-to-end development and production launch of a textbook content recommendation system using AlloyDB, Gemini, FastAPI, and Cloud Run. Developed AI-assisted tools to generate assessment questions from both text and image-based content using GPT-4o and topic modeling.

AlloyDB Gemini fastAPI GPT 4o Topic modeling NLP BERT

Machine Learning Engineer II

TELUS

Aug 2022 - Jul 2023 (11 months)

Created a zero-shot classification system using the BART model to identify and segregate call transcripts from technical service queues. Developed a churn reporting tool by processing geolocation data to generate weekly visual reports of high churn risk locations.

BART Model Data Visualization

Data Scientist

Project X Ltd

Mar 2021 - Aug 2022 (1 year 5 months)

Built a BERT-based sales pitch classifier to measure cross-sell attempts using call transcript data, enabling automatic reporting for sales teams. Helped develop a custom NER model to classify calls based on customer intent and product lines, centralizing data for further analysis.

BERT NLP Data Pipelines

Capstone Research Co-op

Computer Research Institute of Montreal

May 2020 - Jul 2020 (2 months)

Created a new corpus exploration tool based on semantic dissimilarity using word embeddings. This tool facilitates the analysis of textual data by identifying semantically related terms.

Embeddings Semantic Dissimilarity NLP Research

Education

Degrees, certifications, and relevant coursework

University of British Columbia

Master of Data Science, Computational Linguistics

2019 - 2020

Activities and societies: Relevant Coursework : Computational Semantics, Transformer based LLMs, Machine Translation.

Focused on Computational Linguistics, with coursework in Computational Semantics, Transformer based LLMs, and Machine Translation. This program provided a strong foundation in advanced data science techniques.

NMIMS University

MBA, Business Intelligence & Analytics

2018 - 2019

Activities and societies: Relevant Coursework : SQL, Design Thinking, Data Visualization

Specialized in Business Intelligence & Analytics, covering SQL, Design Thinking, and Data Visualization. This degree enhanced my analytical and strategic business skills.