Machine Learning Data Science

+1-469-***-**** Himan • # hnamdari@Namdari wpi.edu • www.himannamdari.com

Data Science Ph.D. — AI & Machine Learning Expert with 5+ years of experience in business-driven, AI-powered analytics and applied machine learning solutions. Led and deployed AI-driven projects; to date, across Agriculture, Service Operations, and Biomedical data, driving cost efficiency, automation, and predictive insights., Core Strengths:

AI & Machine Learning (Deep Learning, NLP, GANs, LLMs, LSTMs, VAEs)

MLOps, Prompt engineering, AI Chat Bot, Vector Databases

Cloud Computing (AWS, GCP, Microsoft Azure)

Data-Driven Decision-Making & Predictive Modeling

Feature Engineering & Intuitive Descriptive Analytics

Remote sensing, geospatial data analysis, GPR data simulation, and analysis Education

Ph.D. Data Science, Worcester Polytechnic Institute (WPI), 2022-Graduation: May/ 01/ 2025

Transferred Ph.D. Computer Science from the University of North Texas (UNT: 2018-2022) to WPI

M.Sc. Computer Science, University of La Sapienza, 2015-2018

B.Sc. Computer Engineering, University of Applied Science, 2010-2014 Industry & Business Experience

Research Assistant, SoilX Lab (2022 - Present) - Designed and Deployed AI-based soil moisture estimation models for precision agriculture, optimizing irrigation strategies for mega-farms. - Integrated satellite imagery, IoT sensor data, and GPR analytics for real-time decision-making, Funded by USDA.

Data Science Intern, Platute (Summer 2021 - 6 month) - Led AI-driven automation for personalized tutoring recommendations, improving student engagement by 12%.

IT & Sales Director, Discover Rome Tours (2015-2018) - Implemented data-driven sales strategies, boosting revenue by 30%.

Areas of Applied ML Projects

Developed an intelligent model using (DL, CNN, LLM) to optimize irrigation based on simulated Ground Penetrating Radar soil characterizing and feature extraction in mega-farms, Research Assistant, WPI, 2022-present.

Deployed a trust evaluation model for IoT networks using Game Theory with the second chance protocol, Research Assistant, UNT, 2019-2022. (Resulted in two published papers)

Co-employed a Kalman filtering model with application in Phantom Tumor Tracking in Dual-Energy Fluoroscopy, Biomedical AI Lab, Research Assistant, UNT, 2019–2020. (Resulted in a published paper and a book chapter)

Master’s thesis on privacy-preserving in cloud computing, Research Scholar UNT, 2017–2018. Technical & Interpersonal Skills

Programming Languages: Python, Java, PHP, MATLAB, SQL.

Machine Learning and AI: Regression and classification models, Neural Networks, GAN, LLM (OpenAI), statistical modeling, MLops, ML LOAD, AI prompting.

Data Tools: Visualization, Statistical Learning, Descriptive-Predictive Analyses, Image and Text Processing.

Business Intelligence:Apache Spark, Apache Hadoop, Tableau, Power BI.

Data Privacy: HIPAA Compliance, Ethical Considerations, Governance.

Cloud Platforms: AWS (ECS, ECR), GCP, Microsoft Azure.

Application Containerization: Docker, AWS ECS, AWS ECR.

What I can bring as interpersonal skills: Multidisciplinary, Cross-Cultural Team Collaboration, Leadership and Stewardship, Innovative Thinking, Agile Adaptability, Storytelling with Data. 1/2

Publications

Intelligent Soil Subsurface Characterization via Realistic GPR Data Emulation and Transformation, Submitted to IEEE Transactions on AgriFood Electronics, 2025.

A Novel Framework for Farm Irrigation Optimization via GPR-based Intelligent Multi-Layered Subsurface Soil Moisture Assessment, IEEE Transactions on AgriFood Electronics, 2024. Accepted.

Phoenix: IoT Trust Evaluation Using Game Theory with Second Chance Protocol, 10th International Conference on Internet of Things: Systems, Management and Security, 2023. Accepted.

Toward Resilience Methods in Cloud Computing, 18th International Conference on Computer Systems and Applications

(AICCSA), 2021. Accepted.

Phantom Tumor Tracking in Dual-Energy Fluoroscopy using a Kalman Filter, International Conference on Bioinfor- matics and Biomedicine (BIBM), 2020. Accepted.

Image Processing in Bridging Human Intelligence and Artificial Intelligence, Springer Nature, Switzerland AG, Book Chapter, 2020.

Field Measurement Setup for Intelligent Soil Moisture Assessment: An Experimental Study, submitted to the Annual IEEE Undergraduate Research Symposium, 2024.

Enhanced Trust in IoT Environments: Utilizing Perfect Bayesian Equilibrium, Exponential Smoothing, and Machine Learning, Accepted The 11th International Conference on Internet of Things: Systems, Management and Security

(IoTSMS), 2024.

Talks

AI for Smart Farming: Transforming Agriculture with Machine Learning, SWCS, 2024.

Soil moisture estimation via synthetic GPR data and machine learning, Boston Chapter, 2024.

Machine learning for material properties prediction in glass production, TAPIA Conference, 2021.

Tumor tracking using Kalman filter, Biomedical Engineering Society Annual Meeting, 2022.

Fault tolerance and mitigation methods in cloud computing, symposium hosted by the Boston Chapter ASA, 2021. Awards & Honors

Turno Subito, Study Abroad Master Student Award, Italy, 2018.

TAPIA, Poster Scholarship, 2020.

Winner Team Member, Kaggle Covid-19 Prediction Competition, 2020.

Paramount Pictures, International Exchange Scholarship, 2021. Languages & Global Experience

Languages: English (Fluent), Italian (Advanced), Kurdish (Native), Persian (Native).

International Work Experience: US, Italy, Australia. Leisure Activities & Volunteering

AI & Business Innovations, Outdoor Adventure, Soccer, Kayaking.

Environmental & Animal Welfare Activist.

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