Data Scientist Machine Learning
Resume:
Sepideh Nasseri,
Data Scientist
Summary of Experience
Accomplished Data Scientist with a strong foundation in Artificial Intelligence and a rigorous academic background in Pure Mathematics. Proven expertise in developing and deploying advanced machine learning models, performing complex data analysis, and building intelligent, scalable solutions that drive business value. Highly skilled in statistical modeling, predictive analytics, optimization algorithms, and data- driven decision-making. Adept at translating complex mathematical and technical concepts into actionable insights for both technical and non-technical stakeholders. Demonstrated success in solving real-world problems through innovative applications of AI and mathematical principles.
Extensive experience in teaching and communicating abstract mathematical ideas with clarity and precision, reinforcing strong analytical thinking and problem-solving capabilities. Committed to continuous learning and innovation, with a passion for applying data science to create meaningful impact across industries.
Innovative and impact-driven Data Scientist with a deep foundation in Artificial Intelligence, advanced mathematics, and cross- functional analytics. Equipped with a proven track record of delivering high-performance machine learning models, data-driven solutions, and actionable insights across diverse domains including finance, insurance, academia, and geoscience. Combining strong quantitative expertise with business acumen, I specialize in designing intelligent systems that drive efficiency, optimize decision-making, and uncover strategic opportunities. Adept at transforming complex datasets into clear, measurable outcomes, and collaborating with cross-functional teams to deliver scalable, production-ready solutions. Experienced in coordinating and contributing to high-quality, deadline-driven proposals and technical documents. Skilled in aligning complex content with strategic goals and client expectations. Collaborated with subject matter experts and data teams to translate complex findings into structured, client-facing content—frequently using LaTeX, Word, and PowerPoint for formatting and visual clarity.
Supported proposal-like initiatives for government and institutional projects (e.g., at National Gas Company and IntelliHoma) through cost-benefit analysis documentation, risk modeling reports, and data-driven justifications. Coordinated the preparation of technical project documentation and reporting deliverables across multi-disciplinary teams in academia, finance, and engineering sectors, aligning content with stakeholder expectations and compliance standards. Led or contributed to the preparation of presentation materials, analytical summaries, and review documents for internal and external stakeholders, improving understanding and decision-making efficiency. Reviewed and edited detailed technical documents, including academic publications, data reports, financial summaries, and strategic evaluations, ensuring clarity, coherence, and alignment with target audience requirements. Maintained structured templates for technical reports and student projects, ensuring consistency, version control, and accessibility across teams. Adept at managing deadlines across multiple concurrent assignments in fast-paced, detail-oriented environments—ensuring on-time delivery and stakeholder satisfaction.
Core Competencies
> Machine Learning & Predictive Analytics: Supervised/unsupervised learning, ensemble models, deep learning (CNN, RNN, LSTM), model evaluation and tuning
> Data Engineering & Visualization: Data pipeline design, ETL processes, APIs, dashboards (Power BI, Tableau), Python (Pandas, Scikit-learn, Seaborn, Matplotlib), R, SQL
> Statistical Modeling & Optimization: Time series forecasting, hypothesis testing, Monte Carlo simulation, A/B testing, MCMC, optimization algorithms
> Cloud & Deployment: Experience with AWS (S3, EC2, SageMaker), MS Azure ML, containerization (Docker), version control (Git)
> Financial & Risk Analytics: Regression modeling, value-at-risk (VaR), stress testing, financial reporting automation, KPI monitoring
> Academic & Applied Research – Mathematical modeling, theorem proving, curriculum development, peer-reviewed publication experience
Experience
> 6 years
Key Positions
> Data Scienfist
> Math Teacher
Languages
> English
> Turkish
> Persian
> > French (Basic)
Contact:
> Email: **************@***.***
> Phone: +1-310-***-****
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> Geospatial & Environmental Analytics – Spatial analysis, GIS workflows, geostatistics, environmental risk modeling, seismic interpretation
> Programming & Tools – Python, R, SQL, MATLAB, MAPLE, LaTeX, C++, Java, XML, Git, AutoCAD, GIS platforms
> Recognized for bridging the gap between advanced analytics and real-world application, with a passion for continuous learning, innovation, and delivering measurable business impact through data science.
> Familiar with RFP/RFI-style requirements and formatting structured responses in alignment with customer guidelines.
> Underwriting Analytics – Risk Modeling – Claims Data analysis Technical Qualifications
> Data analysis and Machine Learning: Python/R/SQL, Microsoft Azure ML, Veeam backup, Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, Scikit-Learn
> Simulation: MATLAB /Maple/Latex
> Tools: AutoCAD, GIS, ICDL (1 & 2)
> Document Creation & Proposal Support: Microsoft Word, PowerPoint, Excel
> Version Control & Porposal Support: Git, SharePoint
> Communication & Collaboration : Experience working across departments to coordinate content, review cycles, and document quality
Education
2023-Now
2010-2012
2003-2008
> PhD in Mathematics and Statistics (University of South Florida, US)
> M.Sc. in Pure Mathematics (CGPA: 18.48/20)
> B.Sc. in Pure Mathematics
2019
2023
2024
2024
2024
2024
2024
2023
2023
2025
2024
2024
> C/C++ Programming
> Modern C++ Object-Oriented Programming (OOP) and STL skills. Udemy Certificate-Tim Buchalka's Programming Academy
> The Complete iOS 11 Developer Course - Advanced. Udemy
> SQL Bootcamp with MySQL, PHP & Python. Creative Online School. Udemy
> Machine Learning A-Z™: Hands-On Python & R In Data Science. Udemy.
> TOTAL: CompTIA CySA+ Cybersecurity Analyst (CS0-002). Udemy.
> Programming Network Applications in Java TCP and UDP sockets in Java. Udemy.
> Java Programming Masterclass covering Java 11 & Java 17. Udemy -Tim Buchalka's Programming Academy.
> Artificial Intelligence courses. Udemy.
> Artificial Intelligence courses- UDACITY from Stanford University
> Microsoft Visual Studio C# Programming - Udemy
Work History – Detailed Contributions
Data Scientist, IntelliHoma, 2019-2021
IntelliHoma, Tabriz,Iran,
> Coordinated inputs from multiple teams and managed submission timelines for internal proposal-style reports and technical summaries used in strategic decision-making
> Designed and deployed predictive models using Python and R to enhance operational efficiency and inform strategic decision-making.
> Conducted in-depth exploratory data analysis (EDA) on large-scale datasets to identify trends, correlations, and business opportunities and reporting tools, reducing manual analysis time by 30%
> Developed and implemented machine learning algorithms for pattern recognition, anomaly detection, and process optimization that identified system failure by >92% failure
> Collaborated with cross-functional teams to translate data insights into actionable solutions, improving system performance and reliability.es.
> Worked with time-series data to forecast system load and optimize resource allocation, and Interfaced with cloud infrastructure for data storage and pipeline integration (Azure ML) Financial Accountant, 2014 – 2019
RanginGach, Tabriz,Iran,
> Conducted financial analysis and forecasting by applying advanced statistical methods, improving the accuracy and reliability of budget planning and performance evaluation.
> Built interactive dashboards using Power BI to present financial KPIs to stakeholders, Created SQL-driven financial models for cost-benefit analysis of internal projects, and designed custom Excel macros to streamline monthly reporting and reconciliation workflows
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> Prepared and presented comprehensive financial reports to support strategic decision-making and ensure compliance with regulatory standards.
> Leveraged data visualization tools to communicate key financial metrics and trends to senior management and stakeholders, enhancing transparency and financial understanding.
> Collaborated with cross-departmental teams to streamline accounting processes and support data-driven financial planning initiatives.
Quantitative Roles Across Academia and Industry 2005 – 2022
Teaching Assistant University of South Florida, 2023-2025.
> Supported instruction in advanced mathematics and statistics courses at the undergraduate and graduate levels.
> Guided students through data analysis projects, providing mentorship on statistical modeling, data interpretation, and analytical best practices.
Project Evaluation Expert. National Gas Company of Tabriz, Iran, 2020-2022
> Led quantitative evaluations and cost-performance analysis of national infrastructure projects; utilized regression modeling and Monte Carlo simulation for project risk assessment.
> Conducted quantitative analyses to evaluate the financial performance and viability of infrastructure projects.
> Developed analytical reports using statistical methods to monitor project progress and support data-driven decision- making.
University Lecturer, Islamic Azad University of Tabriz, Iran, 2011-2021
> Delivered high-level courses in algebraic structures, representation theory, and applied data analytics; supervised thesis projects involving machine learning applications in scientific research.
> Delivered undergraduate and graduate courses in Algebra, Representation Theory, and Applied Statistics.
> Supervised student research projects focused on mathematical modeling and real-world applications of data science.
Insurance Representation, Tabriz, Iran, 2017
> Applied logistic regression and classification models to detect fraud patterns and assess claim legitimacy, improved underwriting accuracy through advanced statistical evaluation.
> Analyzed insurance claims and assessed risk profiles using data-driven methods to support accurate evaluation and risk mitigation.
> Interpreted policy data and claim trends to improve operational efficiency and fraud detection.
Lecturer Various Institutions, Nokhbegan, OStadan Bartar, Sunnet, Erdosh, Iran, 2005-2007
> Taught foundational mathematics and Olympiad-level problem-solving; designed curriculum enhancements focused on critical thinking and logical reasoning.
> Developed and delivered tailored lesson plans to prepare students for competitive academic advancement. Projects
> Cyber-Focused Risk Scoring Framework : Designed a prototype risk scoring system using synthetic underwriting data, anomaly detection, and time-series claim modeling.
> Financial Risk Simulator : Built a Monte Carlo simulation engine in R to stress test portfolios under different market conditions.
Strengths and Reasons for Selection
> Deep expertise in data science and AI, grounded in mathematical theory
> Demonstrated ability to bridge academia and industry with actionable results
> Recognized for hard work, innovation, and leadership in cross-functional environments
> Strong communication and teaching skills, capable of explaining complex concepts clearly
> Passionate about continuous learning and driving measurable impact with data.
Contact this candidate