FATEMEH HOSSEINI
MACHINE LEARNING ENGINEER
PROFILE
Data Scientist with a knack for leveragingdata analytics and machine learning
techniques to deliver valuable insights and drive data-driven decision-making.
Proficient in Python, and SQL, with a solid foundation in statistics, optimization, and
critical thinking. Experienced in designing and implementing machine learning
models, data mining, and data visualization to enhance business performance.
Skilled at collaborating with cross-functional teams, presenting complex data
insights in easily understandable formats, and continuously improving processes to
optimize efficiency and accuracy.
CONTACT
--linkedin.com/in/fatemehhosseini97
github.com/fhoseini97
Tehran ,Iran
Date of birth:-
SKILLS
Programming Languages:
Python
Libraries & Frameworks:
NumPy, Pandas, Scikit-learn,
PyTorch, TensorFlow
Data Analysis and Visualization
Tools: Pandas, NumPy,
Matplotlib, Seaborn
Deep Learning: PyTorch,
TensorFlow
Supervised Learning: Linear
and Logistic Regressions,
Decision Trees, Support Vector
Machines (SVM)
Unsupervised Learning: Kmeans Clustering, Principal
Component Analysis (PCA)
Data Mining and ETL
Processes
SQL
Version Control Systems:
GitHub
Strong Problem-solving and
Critical Thinking Skills
Excellent Communication and
Presentation Abilities
WORK EXPERIENCE
Data Scientist | machine learning engineer
Rayan Pardaz Kavosh
2022-Now
I worked with Azure databases, gathering and cleaning up the data for analysis. I
applied various data preprocessing techniques, including data cleaning,
normalization, and transformation to prepare the data for machine learning
models.
I implemented a supervised learning method to detect anomalies and suggest
corrective measures based on the team's performance data. The project aimed
at improving team performance and predicting future outcomes.
I used SuperSet for data visualization, providing insightful graphs and charts to
aid in understanding the data and the results of the analysis.
Project Manager Scrum Master
Rayan Pardaz Kavosh
-
In my role as a Scrum Master, I facilitated the team's Scrum ceremonies,
including daily stand-ups, sprint planning, sprint reviews, and retrospectives.
I assisted the team in adhering to Scrum practices, actively removing obstacles,
and enhancing their processes.
Acting as a buffer between the team and any distracting influences, I ensured
that the team remained focused on the tasks at hand.
These experiences have honed my skills as a Data Scientist, Software
Developer, and Scrum Master, equipping me with a unique blend of expertise
that I can bring to any team or project.
Business Analysis | SoftwareDeveloper
Rayan Pardaz Kavosh
-
Actively contributed to the design and implementation of a comprehensive
banking system based on Bizagi, utilizing SQL for database management.
Served as a Senior Software Developer, overseeing tasks such as coding,
debugging, and ensuring the seamless integration of the Bizagi platform with a
specific focus on SQL database management.
Applied strong business analysis skills to align the software development
process, including SQL database design, with the overarching business
objectives.
Played a key role in the design and modeling of process workflows using Bizagi,
ensuring efficiency and alignment with business requirements.
FATEMEH HOSSEINI
DATA SCIENTIST
EDUCATION
PROJECTS
bachelor’s degree information
technology
National Banking System Implementation (Bizagi)
Islamic Azad University North
Tehran Branch-
Utilized Bizagi for process automation, effectively mapping banking operations
workflow to enhance system efficiencies.
Executed complex SQL queries for data extraction, transformation, and loading
(ETL), ensuring data integrity and availability.
Spearheaded the data conversion initiative, migrating legacy systems to modern
platforms without compromising on data fidelity.
Overcame deployment challenges with .NET Core, streamlining the release
management process and enabling a more solid deployment strategy.
Orchestrated the nationwide operationalization of the revamped system, leading
to improved banking processes and customer satisfaction across all branches.
CERTIFICATIONS
project-based Data Science course
Teachmeroadmap Academy
Supervised Machine Learning:
Regression and Classification
Coursera / Stanford
LANGUAGES
Persian
English
Data Science and Analysis for Operational Excellence
Gathered and processed Azure DevOps data to derive meaningful insights for
business operations and employee productivity.
Conducted in-depth analysis of development workflows, identifying key metrics
for performance enhancement.
Developed daily, monthly, and yearly reports benchmarking company objectives
against completed work, ensuring alignment of team efforts with strategic
goals.
Refined approaches to tackling identified issues, challenges, and deficiencies
through data-driven solutions.
Implemented machine learning algorithms to forecast project outcomes, driving
informed decision-making and resource allocation.
Presented data narratives and actionable insights to stakeholders, facilitating a
culture of continuous improvement and accountability within the organization.
Formulated a robust feedback loop integrating stakeholder input with analytical
findings, fostering a collaborative environment geared towards operational
excellence.
