Vidhi Pitroda
@vidhipitroda
Data Scientist with 4+ years of experience in machine learning.
What I'm looking for
I am a Data Scientist with over 4 years of experience in developing data and machine learning solutions, primarily on Azure. My journey has been marked by leading more than five analytics, migration, and machine learning projects that have driven substantial improvements and impact in various sectors. I thrive on transforming complex data into actionable insights and have a strong foundation in programming languages such as Python, SQL, and R.
At IBM, I spearheaded the full lifecycle of a natural language processing (NLP) model, enhancing user engagement by 30%. My role involved engineering over 30 ETL pipelines in Azure Synapse, which facilitated fast data processing and automated workflows. I have also developed advanced NLP pipelines and a Document Visual Question Answering (DocVQA) prototype, showcasing my ability to leverage cutting-edge technologies to extract insights from complex datasets.
My academic background includes a Master of Science in Computer Science, complemented by certifications such as Microsoft Certified Azure Data Engineer Associate and IBM Certified Machine Learning Engineer. I am passionate about continuous learning and applying innovative solutions to real-world problems, making me an asset to any forward-thinking organization.
Experience
Work history, roles, and key accomplishments
Data Researcher
Green Pack Produce
Jan 2025 - Present (6 months)
Developing forecasting models to accurately forecast key flow patterns and market trends by analyzing large-scale historical order, shipment, and sales data of produce.
Data Scientist
IBM
Nov 2021 - Present (3 years 8 months)
Led a large-scale data warehouse migration from on-prem DB2 to SQL Server. Engineered over 30+ ETL pipelines in Azure Synapse for fast data processing and integrated Azure logic apps for automating workflows. Spearheaded the full lifecycle of a NLP model, from prototype to production using Azure AI, to cluster low-intent user texts from IBM Watson virtual assistant for a finance client, boosting u
Machine learning Engineer
QualiTEAS
Jul 2021 - Present (4 years)
Led the development of a machine learning model for corrosion detection, which reduced manual inspection time by 50%. Successfully deployed ML models on Azure, significantly improving deployment frequency by implementing CI/CD pipelines with version control (Git, GitHub Actions), ensuring reproducible research and robust solutions.
Data Science Intern
McGill University
Jan 2021 - Present (4 years 6 months)
Engineered a web scraping solution to extract bilingual community organization data from over 70 websites. Implemented a topic modeling algorithm to identify key themes and patterns to inform departmental strategy.
AI Researcher
Lakehead University
Sep 2019 - Present (5 years 10 months)
Applied advanced statistical modeling, predictive analytics, and large-scale data processing to explore complex datasets. Drove research-backed insights through computational research and data analysis.
Education
Degrees, certifications, and relevant coursework
Lakehead University
Master of Science, Computer Science
Completed a Master of Science in Computer Science, focusing on advanced topics and research within the field. Gained expertise in various computational and data analysis techniques.
Gujarat Technological University
Bachelor of Engineering, Computer Engineering
Obtained a Bachelor of Engineering in Computer Engineering, building a strong foundation in engineering principles and computer systems. Developed core skills in programming and system design.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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