Mitra Kaviani Email & Phone Number
@relayplatform.com
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Who is Mitra Kaviani? Overview
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Mitra Kaviani is listed as 🧠Data Scientist | Python, R, SQL, Machine Learning, Deep Learning, Time Series Analysis | Transforming Big Data Into Actionable Insights to Drive Business Growth and Strategy at BMO, a company with 42056 employees, based in Guelph, Ontario, Canada. AeroLeads shows a work email signal at relayplatform.com and a matched LinkedIn profile for Mitra Kaviani.
Mitra Kaviani previously worked as Machine Learning Engineer at Bmo and Quantitative Analyst at Bmo. Mitra Kaviani holds Master Of Computer Science, Gpa (A) from University Of Guelph.
Email format at BMO
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About Mitra Kaviani
As a Data Scientist, my purpose is to harness the power of data to make robust business decisions and drive strategy. My dedication to unearthing patterns in complex datasets, predicting trends, and improving performance metrics, fuels my drive for creating data-driven businesses. I firmly believe that the innovative use of data is the key to unlocking significant gains in efficiency, customer satisfaction, and revenue.1. Predictive Modeling: Employed a predictive model using time series analysis, enhancing sales forecasting accuracy by 20% and leading to more informed business decisions.2. Insight Generation & Reporting: Designed and automated intuitive dashboards for seamless reporting of KPIs, including churn, retention, conversion, and engagement ratios. This improved the monitoring and extraction of insights from critical business metrics.3. Improving Customer Experience: Utilized machine learning algorithms like decision trees and random forests to enhance predictive analytics accuracy by 15%, resulting in a 10% increase in customer satisfaction.4. Revenue Growth: Effectively communicated insights to non-stakeholders using interactive data visualization tools, leading to a 30% increase in revenue.5. Data-Driven Efficiency: Streamlined administrative processes using data-driven solutions, resulting in a 20% boost in productivity and employee satisfaction, and a 10% improvement in operational efficiency.• Programming & Data Analysis: Proficient in Python, R, SQL, SAS, C/C++, and advanced use of Excel for data analysis.• Machine Learning & Predictive Modeling: Skilled in supervised and unsupervised learning, decision trees, random forests, and time series analysis for prediction and forecasting.• Data Management & Governance: Experienced in implementing data management practices and maintaining complex SQL dashboards. Also experienced in the use of ETL processes for efficient data extraction from diverse sources.• Data Visualization & Reporting: Expertise in creating intuitive dashboards for seamless reporting of KPIs using tools like Tableau and Power BI. Proficient in communicating insights through interactive data visualization tools.• Collaboration & Problem-solving: Proven track record of collaborating with cross-functional teams to provide data-driven recommendations for complex business problems and key decisions.
Listed skills include Python, Rstudio, Ccna, Spss, and 4 others.
Mitra Kaviani's current company
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Mitra Kaviani work experience
A career timeline built from the work history available for this profile.
Quantitative Analyst
Data Analytics Teaching Assistant
Current
Data Scientist
Data Scientist
· Developed a method utilizing Artificial Neural Networks (ANNs) to determine suitable sites for small hydropower projects.· Applied AI technologies for optimizing wind energy potentials.· Utilized AI systems to monitor biodiversity and analyze animal population trends influenced by climate change.· Conducted comprehensive reviews on small hydropower.
Data Scientist
- Analyzed and mined database data to drive product development, marketing approaches, and company strategy optimization and improvement.
- Examined the efficacy and precision of new data sources and data collection procedures.
- Developed custom data models and machine learning algorithms to apply to data sets.
- Assisted organizational stakeholders in identifying opportunities by leveraging company data to drive business solutions.
- Collaborated with engineering and product development teams to implement models and monitor outcomes.
Data Analyst Researcher At Data Management And Privacy Governance Lab
- Implemented and adopted Twitter texting mining, Natural Language Processing (NLP), and topic modelling and LDA techniques to build keyword/keyphrase extraction, pre-processing Twitter data model and analyze experiment.
- Collaborated on establishing a new data governance program and metadata management system for the University of Guelph research data platform.
- Performed research on national and global digital agriculture initiatives, centers, and projects.
- Customized a machine learning algorithm for forecasting food outbreak epidemics in Canada, achieving an impressive 87% accuracy rate, contributing to proactive planning and public health responses.
- Published two chapters in high-class journals focusing on the "Need for Data Standardization in the Food Supply Chain" and "Machine Learning Applications in Food Supply Chain," demonstrating a commitment to advancing.
- Streamlined data-driven decision-making by utilizing advanced SQL for ETL processes on complex datasets & diverse sources.
Data Analyst
- Boosted operational efficiency by 10% by leveraging SQL for data analysis and identifying business trends.
- Developed data-driven solutions that streamlined administrative processes, resulting in a 20% increase in productivity and employee satisfaction.
- Enhanced decision-making processes by 15% through collaboration with cross-functional teams to ensure accurate data reporting and presentation.
Graduate Research Assistant In Machine Learning And Data Mining
- Conducted a comprehensive evaluation of 76 similarity measures for name matching, optimizing the selection process and significantly enhancing the accuracy of matching algorithms.
- Leveraged both supervised and unsupervised machine learning methodologies on large-scale datasets encompassing over 50 million personal names, driving significant advancements in data processing efficiency and.
Graduate Teaching Assistant For Database Systems Course
- Assumed responsibility as a Teaching Assistant for a Database course, guiding and supporting the academic growth of over 100 students.
- Leveraged my advanced critical thinking and problem-solving skills to assist students with SQL programming assignments, enhancing their comprehension of core concepts.
- Cultivated independent problem-solving abilities among students by guiding them in evaluating various solution trade-offs and facilitating self-sufficiency in code debugging.
Research Assistant In Genomic Analysis And Data Management
- Conducted thorough genomic analysis of soybean data, successfully extracting information on over 13,000 genes and 50,000 paralogs, contributing to the knowledge base of soybean genomics.
- Played a key role in managing research documentation, ensuring accurate record-keeping and efficient data retrieval.
- Assisted in analyzing experimental results and research data, contributing to the interpretation and understanding of complex genetic interactions.
Graduate Teaching Assistant For Algorithm Analysis And Design
- Guided and supported the academic progress of 75 students in the Algorithm Analysis and Design course.
- Applied problem-solving skills to facilitate understanding core concepts through C programming assignments.
- Devised and implemented lab assignments in line with course material, fostering a practical understanding of theoretical concepts.
- Delivered pre-lab tutorials, enhancing students' readiness and performance during lab assignments.
- Managed grading of assignments, midterms, and final exams, ensuring a fair and accurate assessment of student performance.
- Provided personalized assistance during office hours, troubleshooting programming assignments and fostering an active learning environment.
Graduate Teaching Assistant For Discrete Mathematics
- Facilitated academic success for 80+ students in the Discrete Mathematics course through effective communication and support.
- Provided constructive feedback and guidance, enhancing student engagement and learning outcomes.
- Took responsibility for grading tests, quizzes, midterms, and final exams, maintaining consistent and accurate assessments.
- Offered personalized academic advice during office hours, ensuring students' continued success and understanding of the course.
Colleagues at BMO
Other employees you can reach at bmo.com. View company contacts for 42056 employees →
Ling Chen
Colleague at Bmo
Montreal, Quebec, Canada, Canada
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Peyton Gee
Colleague at Bmo
Khurda, Odisha, India, India
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News Khalige
Colleague at Bmo
Ouargla, Ouargla, Algeria, Algeria
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SK
Simone Kommer
Colleague at Bmo
Greater Chicago Area, United States
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Ryan Owens
Colleague at Bmo
Omaha, Nebraska, United States, United States
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DA
Don And Donna Wither
Colleague at Bmo
Ontario, Canada, Canada
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Lisa Shrum
Colleague at Bmo
Calgary, Alberta, Canada, Canada
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JN
Jennifer Noordijk
Colleague at Bmo
Oakville, Ontario, Canada, Canada
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FD
Francine Deroo
Colleague at Bmo
Vaudreuil-Dorion, Quebec, Canada, Canada
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Ivy Cheng
Colleague at Bmo
Vancouver, British Columbia, Canada, Canada
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Mitra Kaviani education
Master Of Computer Science, Gpa (A)
Master Of Computer Software Engineering, Gpa (A+)
Frequently asked questions about Mitra Kaviani
Quick answers generated from the profile data available on this page.
What company does Mitra Kaviani work for?
Mitra Kaviani works for BMO.
What is Mitra Kaviani's role at BMO?
Mitra Kaviani is listed as 🧠Data Scientist | Python, R, SQL, Machine Learning, Deep Learning, Time Series Analysis | Transforming Big Data Into Actionable Insights to Drive Business Growth and Strategy at BMO.
What is Mitra Kaviani's email address?
AeroLeads has found 1 work email signal at @relayplatform.com for Mitra Kaviani at BMO.
Where is Mitra Kaviani based?
Mitra Kaviani is based in Guelph, Ontario, Canada while working with BMO.
What companies has Mitra Kaviani worked for?
Mitra Kaviani has worked for Bmo, Correlation One, Kindred Credit Union, Real Site Research Group, and Relay Platform.
Who are Mitra Kaviani's colleagues at BMO?
Mitra Kaviani's colleagues at BMO include Ling Chen, Peyton Gee, News Khalige, Simone Kommer, and Ryan Owens.
How can I contact Mitra Kaviani?
You can use AeroLeads to view verified contact signals for Mitra Kaviani at BMO, including work email, phone, and LinkedIn data when available.
What schools did Mitra Kaviani attend?
Mitra Kaviani holds Master Of Computer Science, Gpa (A) from University Of Guelph.
What skills is Mitra Kaviani known for?
Mitra Kaviani is listed with skills including Python, Rstudio, Ccna, Spss, Machine Learning, Data Visualization, It Management, and Data Mining.
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