I am a Data Analyst with a Master’s in Data Science from the University of Calgary, specializing in leveraging machine learning and business intelligence to transform data into actionable insights and strategic solutions. With extensive experience at Neuraura and NielsenIQ, I have a proven track record in enhancing health forecasting and optimizing business operations through innovative data practices.Proficient in Python, SQL, Power BI, and Tableau, I excel at creating dynamic dashboards and developing robust data models that improve decision-making processes and operational efficiency. My work has led to significant advancements in predictive analytics and data privacy, particularly in healthcare and educational settings.I am driven by the challenge of turning complex data sets into understandable and usable information that supports business growth and improves outcomes. As I continue to evolve in my career, my goal is to contribute to projects that prioritize data-driven decision making and foster technological innovation.Passionate about data science's potential to solve real-world problems, I am eager to connect with like-minded professionals and explore opportunities that push the boundaries of what data can achieve.
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Data DeveloperNeo FinancialCalgary, Ab, Ca
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Data AnalystNeo FinancialCalgary, Ab, Ca
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Data EngineerCapitalsources.Ca Oct 2024 - PresentCalgary, Alberta, Canada -
Game TechnicianThe Rec Room Jul 2024 - PresentCalgary, Alberta, Canada -
Data ScientistNeuraura Apr 2024 - Aug 2024Calgary, Alberta, CanadaDrove the analysis of PCOS data using Python, TensorFlow, and Keras to advance predictive accuracy and data privacy. Developed sophisticated Machine Learning models to enhance health condition forecasting and patient outcomes. Employed cloud storage solutions for secure data storage, promoting compliance and enabling real-time health monitoring.● Improved health condition forecasting accuracy through the development of advanced machine learning models.● Enabled robust and compliant data storage, facilitating enhanced real-time health monitoring capabilities. -
Research AssistantUniversity Of Calgary Apr 2024 - Jul 2024Calgary, Alberta, CanadaDeveloped and tested federated learning models using Machine Learning principles to enhance health data privacy and reliability. Utilizedadvanced statistical techniques to optimize data accuracy in diverse health datasets. Authored an academic paper on federated learning,contributing to advancements with quantifiable impacts in both academia and industry. Expanded analytical methodologies to include predictivemodeling and complex data set interpretation.● Boosted health data privacy and reliability through the development and testing of federated learning models.● Optimized data accuracy by employing advanced statistical analysis techniques on health datasets.● Authored an influential academic paper on federated learning advancements, impacting academia and industry. -
Data AnalystUniversity Of Calgary Jan 2024 - Apr 2024Calgary, Alberta, CanadaOptimized SQL queries and PowerBI analytics to enhance university decision-making processes. Designed and deployed interactive Tableaudashboards to track and evaluate enrollment trends, providing actionable insights to stakeholders. Developed and maintained data pipelinesusing Python and Azure, streamlining data integration, and improving research data accessibility.● Enhanced decision-making capabilities, leading to a significant 10% uplift in student retention.● Streamlined research data integration, achieving a 25% improvement in data accessibility.● Contributed to policy development by providing comprehensive data analysis and recommendations.
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Senior Data AnalystNielseniq Apr 2022 - Jul 2023Chennai, Tamil Nadu, IndiaLed the enhancement of sales data processes, by automating workflows. Designed dynamic Power BI dashboards, providing real-time businessinsights to inform strategic decision-making. Streamlined data analysis procedures, ensuring timely and accurate delivery of insights.● Increased data processing speed through the strategic design and management of ETL pipelines.● Enabled informed strategic decisions by developing Power BI dashboards that deliver live business insights.● Automated sales data processes with Python, SQL, and Azure, enhancing efficiency and achieving 95% accuracy. -
Business Intelligence AnalystCuemath Jun 2020 - Mar 2022Pioneered neural data integration using Python, TensorFlow, and Keras to improve health predictions. Developed predictive models for varioushealth conditions, enhancing patient care and outcomes. Managed data storage, ensuring data compliance and protection. Streamlined dataprocesses, significantly reducing data retrieval times, and increasing operational efficiency.● Increased active learning participation by 15% through the development of predictive models for student engagement.● Reduced data retrieval time by 20%, improving operational efficiency of educational programs.
Dharmang Desai Education Details
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4.0/4.0
Frequently Asked Questions about Dharmang Desai
What company does Dharmang Desai work for?
Dharmang Desai works for Neo Financial
What is Dharmang Desai's role at the current company?
Dharmang Desai's current role is Data Developer.
What schools did Dharmang Desai attend?
Dharmang Desai attended University Of Calgary, Srm University.
Who are Dharmang Desai's colleagues?
Dharmang Desai's colleagues are Mayank Arora, Christian Rosati, Manish Sumer, John Zhou, Lovepreet Kaur, Dean K., Pankti Thakkar Pgdm(Finance And Marketing),mcom,bcom.
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