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I am a dedicated data scientist and machine learning engineer with over five years of experience specializing in developing machine learning models, statistical analysis, and natural language processing. I am passionate about leveraging advanced analytical techniques to solve complex problems and drive data-driven decisions in various business contexts, especially within the retail and financial sectors. I excel at working with large datasets, building predictive models, and creating insightful visualizations to communicate findings clearly to stakeholders. I pride myself on staying up-to-date with the latest developments in machine learning, cloud computing, and data science methodologies, ensuring that I continuously deliver cutting-edge solutions. My experience includes managing end-to-end machine learning pipelines, working with cloud platforms like Azure and Google Vertex AI, and collaborating effectively in Agile environments. I am motivated by challenges and committed to helping organizations harness the power of data to optimize outcomes and enhance business value.…I am a dedicated data scientist and machine learning engineer with over five years of experience specializing in developing machine learning models, statistical analysis, and natural language processing. I am passionate about leveraging advanced analytical techniques to solve complex problems and drive data-driven decisions in various business contexts, especially within the retail and financial sectors. I excel at working with large datasets, building predictive models, and creating insightful visualizations to communicate findings clearly to stakeholders. I pride myself on staying up-to-date with the latest developments in machine learning, cloud computing, and data science methodologies, ensuring that I continuously deliver cutting-edge solutions. My experience includes managing end-to-end machine learning pipelines, working with cloud platforms like Azure and Google Vertex AI, and collaborating effectively in Agile environments. I am motivated by challenges and committed to helping organizations harness the power of data to optimize outcomes and enhance business value.

Mamta Tomar

Data Scientist, AI Engineer, Data Analyst, +2

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I am a dedicated data scientist and machine learning engineer with over five years of experience specializing in developing machine learning models, statistical analysis, and natural language processing. I am passionate about leveraging advanced analytical techniques to solve complex problems and drive data-driven decisions in various business contexts, especially within the retail and financial sectors. I excel at working with large datasets, building predictive models, and creating insightful visualizations to communicate findings clearly to stakeholders. I pride myself on staying up-to-date with the latest developments in machine learning, cloud computing, and data science methodologies, ensuring that I continuously deliver cutting-edge solutions. My experience includes managing end-to-end machine learning pipelines, working with cloud platforms like Azure and Google Vertex AI, and collaborating effectively in Agile environments. I am motivated by challenges and committed to helping organizations harness the power of data to optimize outcomes and enhance business value.…I am a dedicated data scientist and machine learning engineer with over five years of experience specializing in developing machine learning models, statistical analysis, and natural language processing. I am passionate about leveraging advanced analytical techniques to solve complex problems and drive data-driven decisions in various business contexts, especially within the retail and financial sectors. I excel at working with large datasets, building predictive models, and creating insightful visualizations to communicate findings clearly to stakeholders. I pride myself on staying up-to-date with the latest developments in machine learning, cloud computing, and data science methodologies, ensuring that I continuously deliver cutting-edge solutions. My experience includes managing end-to-end machine learning pipelines, working with cloud platforms like Azure and Google Vertex AI, and collaborating effectively in Agile environments. I am motivated by challenges and committed to helping organizations harness the power of data to optimize outcomes and enhance business value.

Available to hire

I am a dedicated data scientist and machine learning engineer with over five years of experience specializing in developing machine learning models, statistical analysis, and natural language processing. I am passionate about leveraging advanced analytical techniques to solve complex problems and drive data-driven decisions in various business contexts, especially within the retail and financial sectors. I excel at working with large datasets, building predictive models, and creating insightful visualizations to communicate findings clearly to stakeholders.

I pride myself on staying up-to-date with the latest developments in machine learning, cloud computing, and data science methodologies, ensuring that I continuously deliver cutting-edge solutions. My experience includes managing end-to-end machine learning pipelines, working with cloud platforms like Azure and Google Vertex AI, and collaborating effectively in Agile environments. I am motivated by challenges and committed to helping organizations harness the power of data to optimize outcomes and enhance business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Work Experience

Data Scientist at Scotiabank, Canada

July 1, 2023 - Present

Led the design and automation of data extraction pipelines using SharePoint and Dataflow, integrating with Power BI dashboards. Directed an NLP project using BERT on Google Vertex AI for sentiment analysis and complaint categorization enhancing complaint resolution and customer satisfaction. Ensured data security, accuracy, and compliance while optimizing system performance and collaborating with stakeholders to deliver actionable insights. Built end-to-end ETL pipelines and developed KPIs to monitor business performance via interactive dashboards. Maintained awareness of latest machine learning trends to continuously innovate solutions.

Data Scientist at CIBC Canada

July 31, 2023 - August 21, 2025

Developed and optimized data analysis and collection systems enhancing statistical efficiency. Migrated fraud detection models from SAS to R and automated reporting, improving fraud case analyses. Applied Python for web scraping, reporting automation, and data analytics. Collaborated with project managers to align analytic outcomes with business needs. Designed dashboards with SQL and Tableau for effective visualization. Proactively analyzed large datasets identifying trends and providing actionable business insights.

Data Scientist at 4S Consulting Inc, Canada

November 30, 2022 - August 21, 2025

Performed in-depth statistical and machine learning analyses on complex datasets to generate actionable business insights and predictive models. Developed and maintained data pipelines ensuring high data quality and consistency. Collaborated cross-functionally to define data science problems and communicate insights through advanced visual storytelling. Monitored model performance and incorporated cutting-edge AI advances to deliver business value. Ensured data integrity and security in coordination with IT teams.

Machine Learning Engineer at Data Peace AI Technologies Pvt Ltd, India

December 31, 2019 - August 21, 2025

Developed and deployed machine learning models with Python and R, optimized algorithms, and handled data pre-processing to enhance model performance. Built data pipelines and utilized big data technologies like Apache Spark, Hadoop, and Hive. Created data visualizations and maintained software tools for data management and model deployment. Leveraged cloud platforms such as AWS, Google Cloud, and Azure for scaling and deployment. Followed Agile methodologies including code reviews, unit testing, and collaborated with cross-disciplinary teams.

Data Scientist at Scotiabank, Canada

July 1, 2023 - Present

Led the design and orchestration of automated data extraction pipelines using SharePoint and Dataflow integrating data into Power BI dashboards. Executed an NLP project with BERT on Google Vertex AI improving complaint resolution and customer satisfaction. Created end-to-end ETL complaint data pipelines and developed KPIs for performance monitoring. Built comprehensive Power BI dashboards for data-driven stakeholder decisions. Ensured data accuracy, security, and compliance while optimizing system performance and collaborated cross-functionally to enhance dataflow processes.

Data Scientist at CIBC Canada

July 1, 2023 - August 21, 2025

Developed and implemented data analysis and collection systems to optimize statistical efficiency and quality. Migrated fraud models from SAS to R and developed comprehensive fraud case reports. Automated reporting and analysis with Python and Excel, enhancing functionality for statistical tasks. Built SQL queries and dashboards using Tableau providing actionable insights. Collaborated with client teams to map interfaces and analysed business performance data to identify productivity improvements.

Data Scientist at 4S Consulting Inc, Canada

November 1, 2022 - August 21, 2025

Performed in-depth analysis of complex datasets to derive insights and build predictive models supporting business decisions. Developed and maintained data pipelines ensuring data accuracy and quality. Collaborated with cross-functional teams to translate business needs into data science problems and effectively communicated findings to diverse audiences. Monitored and optimized model performance while integrating new data science and AI advances to deliver business value. Maintained data security and privacy in collaboration with IT teams.

Machine Learning Engineer at Data Peace AI Technologies Pvt Ltd, India

December 1, 2019 - August 21, 2025

Developed and deployed machine learning models with Python and R, improving data quality through preprocessing and cleansing. Implemented supervised and unsupervised algorithms, tuned hyperparameters, and constructed data pipelines for large datasets. Utilized big data tools such as Apache Spark and Hadoop, developed visualization tools to communicate insights, and ensured model validation and performance testing. Deployed models to cloud platforms including AWS and Azure, followed agile methodologies, conducted code reviews, and collaborated with cross-disciplinary teams.

Data Scientist at Scotiabank, Canada

July 1, 2023 - Present

Led the design and implementation of automated data extraction pipelines from SharePoint, transforming and integrating data into Power BI dashboards. Delivered a high-impact NLP project using the BERT model on Google Vertex AI for complaint sentiment analysis and categorization, enhancing resolution efficiency and customer satisfaction. Architected a full end-to-end data pipeline for complaint data ingestion and KPI dashboard creation. Ensured data accuracy, security, and regulatory compliance while collaborating cross-functionally to provide actionable insights and continuous optimization of dataflows. Maintained currency with latest ML and data science trends.

Data Scientist at CIBC Canada

July 1, 2023 - August 21, 2025

Developed and optimized data collection strategies to enhance statistical efficiency and quality. Led migration of fraud detection models from SAS to R and developed detailed fraud case reports. Automated web scraping and reporting processes using Python to improve functionality and save time. Collaborated with project managers to deliver analysis aligned with business needs and built SQL and Tableau dashboards to provide stakeholder insights. Analyzed large datasets to identify patterns and areas for operational improvements.

Data Scientist at 4S Consulting Inc, Canada

November 1, 2022 - August 21, 2025

Performed in-depth analysis of complex datasets using statistical and machine learning techniques to inform strategic decisions. Designed and maintained robust data pipelines ensuring data quality. Collaborated closely with cross-functional teams to translate business needs into data science solutions. Presented insights effectively to technical and non-technical audiences through advanced visualizations. Monitored and optimized model performance and integrated latest AI advancements to deliver tangible business value. Worked closely with IT to maintain data integrity and security.

Machine Learning Engineer at Data Peace AI Technologies Pvt Ltd, India

December 1, 2019 - August 21, 2025

Developed, deployed, and optimized machine learning models using Python and R. Conducted extensive data preprocessing and cleansing to improve model accuracy. Utilized big data technologies such as Apache Spark, Hadoop, and Hive for large-scale data manipulation. Built data pipelines supporting machine learning workflows and implemented data visualization tools to communicate insights. Managed cloud deployments with AWS, Google Cloud, and Azure, and applied Agile methodologies to ensure high-quality deliverables. Performed comprehensive testing, documentation, and team collaboration to meet business goals.