Copernicus Solutions

* Partnering with world-changing organizations to maximize impact through strategic consulting and personalized talent development.
* Developed the Continuity of Learning Playbooks for the CCEE to assist California LEAs in preparing for the new school year during COVID.  
* Advised on the opening of innovative schools both in the US and abroad. 
* Provided executive coaching for leaders at all levels.

Chief Executive Officer

California Charter Schools Association

* Led the organization’s two revenue-producing teams (Membership and Conference), a special project team (Diversity in Leadership), as well as three support teams (Data & Analytics, Operations, and IT) in addition to related consultants to ensure optimum efficiency and mission alignment.
 
* Created and launched a new formal Diversity, Equity and Inclusion program to grow the number of leaders of color in California leading charter schools to decrease the representation gap between school leaders and the students they serve. Forged partnerships with other national organizations to advance the program in advance of growing it statewide.

Chief Operating Officer / Deputy Chief Operating Officer

* Maintained high quality board, advisory council relations and compliance under a tandem operations mode (501c3/c4) to achieve greater civic impact on behalf of the 1,265 public charter schools in California serving over 630,000 students and growing at a rate of approximately 10% a year. 

* Re-imagined internal Organizational Health efforts to properly gauge and improve staff satisfaction as well as to increase talent density through manager coaching and personnel development. 

* Overhauled and shepherded the strategic planning process for the organization and its 10 distinct teams (150 employees) as well developed and maintained metrics to ensure progress towards objectives.

Deputy Chief of Staff

* Set the vision and ensure alignment of internal data, operations, and information technologies efforts to larger strategic goals for a 35MM/year organization of 150 staff; directed and developed team staff of 12 as well as overseeing 10+ teams of consultants and 49 distinct information systems that empower a state wide organization with a geographically distributed staff.

* Created a new civic and engagement data team to provide cross-team operational and data support to community organizing as well as voter registration and electoral efforts throughout the state. Increased the number of contacts 4x (from 65k to 243k) in the organization’s database in just 2 years.

Managing Director, Data, Operations & Information Technologies

* Created a new on-boarding process and training program to integrate new hires into CCSA's culture and speed up transition into the organization’s complex work streams. New employees reported a 96% satisfaction rate with the new onboarding experience.  

* Developed and delivered real-time data dashboards for all teams across the state to ensure transparency and alignment to mission and vision, and to facilitate the yearly strategic planning process. Efforts also resulted in increased adoption of data tools, improved overall data quality, drove collaboration and accountability, and streamlined grant writing and reporting.

Director, Operations & Information Technologies

* Conceptualized and took on new role for the organization. 

* Deployed a Single-Sign-On solution, moved organization into a single database (Salesforce), implemented a document collaboration platform (Box). As a result, realized productivity gains of 26 hours/year per FTE; decreased infrastructure costs by 8% and telecommunication costs by 42% by leveraging state grant opportunities; reduced volume of internal emails by 16%; and increased staff overall satisfaction with organizational technology.

Director, Information Technologies

Designed and implemented a scalable support system for the nation’s first statewide achievement data and coaching program that grew from 0 to almost 300 schools (over 85,000 students) in two years, meeting or exceeding all program and funding milestones.

Deputy Director, ZOOM! Data Source

UCLA Extension

Instructor, Charter School Policy, Finance, and Administration Certificate Program

Camino Nuevo Charter Academy

Director of Information Technologies

Consulate General of Brazil in Los Angeles

Director of  Project Management & Information Technology

Roxbury Capital Management, LLC

Internet Manager / Project Manager

Nonprofit leader with 20 years of leadership experience, creative approaches, and consistent results.
Skilled in program management, strategic planning, organizational culture, and technology.
Passionate about  innovation, continuous improvement, and serving others. 

I've once described my job as finding ways of doing new things, finding ways of doing existing things better, finding ways to stop doing things we should not be doing, and finding and nurturing talent along the way.

Daniel Assisi, Ed.D., PCC, PMP

What an inspiring week at Cambridge Judge Business School as we celebrated the graduation of the latest cohort of the Senior Management Programme for Latin America. 🧑‍🎓 📜 

This group of 34 leaders from 12 countries brought curiosity, courage, and a deep commitment to creating impact across their organizations and communities. Watching them connect ideas with real-world challenges — and with each other — has been a privilege.

I’m grateful to play a small part in a programme that blends world-class teaching, thoughtful design, and a strong culture of reflection and growth. Every cohort reinforces the power of bringing diverse leaders together to learn, challenge assumptions, and support one another. 

A big thank you to Suzanne Weeks for her leadership and umatched commitment to excellence that makes a team of talented leadership consultants come together to provide meaningful individualized professional development opportunities to all participants. (Looking at you Katie Dardagan , Estefanía Yome, Miguel Ángel Sanz, PhD , Eva Fernández Jordana, and Delphine Bondu!) 

Congratulations to all the graduates — the work ahead is important, and you’re leaving Cambridge with the clarity and momentum to make it happen.  👏 

#Cambridge #CJBS #PersonalDevelopment

Daniel Assisi, Ed.D.

Growing people and programs that change the world | Leadership Consultant | Executive Coach

No alternative text description for this image

So excited to share that National University of Natural Medicine has secured the purchase of the Woolworth Building in downtown Portland as the school's new site. 

Facilities are much more than walls and windows; they set the tone for the culture and learning that will take place for years to come. I am thrilled that the NUNM community will have a great new home to continue to advance the important mission of having natural medicine play a greater role in our society. 

There has never been a more exciting time to be a student at NUNM! 

Thinking of going into natural medicine? Reach out to NUNM! 

Congrats to Melanie Henriksen, ND, LAc, CNM, Iris Sobottke MA, NCC , my fellow board members, and the incredibly talented and dedicated team at NUNM, who have helped make this a reality. 

#NaturalMedicine #NUNM

View company: National University of Natural Medicine

Today marks a truly historic moment for NUNM.
We’ve finalized the purchase of the Woolworth Building, the place that will become our new home.
This isn’t just a campus move. It’s a celebration of who we are and who we’re becoming. A space where our students, clinicians, researchers, and staff can come together under one roof to learn, to heal, to innovate, and to build the future of integrative health.
For everyone who has believed in NUNM’s mission, thank you. This is your milestone too.
🔗 Read the full announcement: https://lnkd.in/gENCGnyQ

#NUNM #NaturalMedicine #News #Campus

Samy Movassaghi, PhD

Vanguard

- Leading a team of Principal and Senior Machine Learning Engineers, Software Engineers, and Data Scientists to drive optimised, data-driven decisions for Vanguard clients.
- Managing Senior Data Scientists, ML Engineers, Developers, and Engagement Leaders to develop and deploy AI-driven financial solutions.
- Developed and deployed AI-driven recommendation models that provide financial strategies outperforming traditional financial advisors (specific basis points cannot be disclosed due to privacy agreements).
-Spearheaded the design and development of a Recommender System designed to maximise retirement income, successfully deployed in production.
- Delivering multiple ML solutions, including productionizing models such as general classification and regression models using surrogate approaches.
- Optimising the customer journey through deep learning (RNNs) and decision engines to enhance user experience and financial outcomes.

Distinguished Principal AI Scientist  (Technical Lead) - Strategic Investment Pillars

deeplearning.ai

Mentor

Google

Working on a suite of different projects and applications: 

- Providing algorithms and image architectures for image classification and object detection in real-time on battery-enabled cameras.

- Large scale deep learning for image classification for practical deployment on edge device 

- Explored various Convolutional Neural Network architectures and hyper-parameters
- Wrote production line code to build relative end-to-end pipeline for image classification from scratch 
- Feature combination by incorporating a selection of signals to maximize the desired output
- Achieved competitive performance (40%) impact on reducing the false positives (from 43% to 9%) 
Power consumption reduction(38%) at edge device by using 9 billion less FLOPS in the architecture

- Investigation of the advancements in autonomous and self-organized approaches

- Reinforcement learning for maximizing throughput and minimizing latency of delay-tolerant networks

- Bio-inspired, adaptive and parallel transfer of least amount of information with least delay
Proposed approach had 32 % impact on throughput maximization

- Parallel compute and transmission had 24% impact on the speed of information transfer

- Proposed a variety of approaches that encountered the unpredictive nature and stringent requirements

Research Fellow and Software Engineer

Agate

Technical Advisor

Cloud Pioneers

Metasense

University of Sydney

- COMP5310- Principles of Data Science 
- ISYS5550- Knowledge Management Systems (Business Inteligence)
- INFO6010- Advanced Project Management

Academic Tutor

Main Sequence Ventures

Advisor at Venture Capital

UTS: University of Technology Sydney

Held tutorial positions for the following subjects:

• Signal Theory 
• Continuous Communications
• Inter-Network Design
• Network Design
• Software Engineering Practice
• Advanced Wireless Communications
• ICT Analysis
• Technical English for Telecommunication Engineers

Casual Academic

Master's Student

University of Tehran

Held tutorial positions for the following subjects:

• Electrical Circuits II
• Technical English for Electrical Engineering

Bachelor of Science- Electrical Engineering

Award winning technical expert in Deep Learning, Machine Learning & Artificial Intelligence.
Feature in Google AI Blog for making a breakthrough in Computer science!

Gold Medal for first place in Google’s Go competition.

Featured as a Data star and ML Guru in multiple media from the ABC Science show to The Financial Review.

Established a diverse skillset in applying DL/ ML in multidisciplinary domains with extensive computational & analytical expertise in a diverse range of applications from Financial Services to eHealth.

Applied Deep Learning, Machine Learning and data science outside of academia at companies and laboratories both large and small from healthcare to financial services.  

•	Experience with top-tier industry partners: Google, Vanguard, Phillips, Tata Consulting & Venture Capitals.
•.    Active in Hackathons/research showcases with numerous awards globally: NASA, Healthhack, Microsoft, etc
•	Exceptional technical leadership, management and commercialisation experience
•	Strategic planning &Program Management
•	Strong stakeholder management
•	Establishing and maintaining rapport with executives&senior management
•	Consulting startups in deep-tech

✔ Here is a link for asking me for speaking engagements, etc:
https://docs.google.com/forms/d/1Ozro06tKnBLjmCLvE6Kpsn1R2htNvfby8ufdc6RLs1o/

✔ Here is the link to my calendar to schedule a call: 
https://calendly.com/movassaghi-samaneh/30min 

📚 TECH STACK
➤ Machine Learning: Classification, Clustering, Ranking, Regression, Dimensionality Reduction, Clustering and Anomaly Detection, Expectation Maximisation (EM), Reinforcement Learning, Federated Learning, Transfer learning, Semi-supervised Learning, Self-Supervised, Meta-Learning

➤ Deep Learning: NN, CNN, RNN, Transformers, LSTM, GRU, Seq2Seq, GANs, Autoencoder, AutoML

➤ Statistics: Hypothesis testing, Correlation testing, Significance testing, ANOVA

➤ Feature Selection: Filter methods, Wrapper methods, Embedded Methods, Hybrid methods

➤ Languages: Python, C++, R, MATLAB, MySQL

➤ Packages: Tensorflow, TFX, Keras, Google Cloud, AWS Sagemaker, Ray, Coach, OpenAI

➤ Libraries: NumPy, Pandas, SciPy, Scikit-Learn, statsmodels

➤ Data Visualisation: Tableau, Matplotlib, Plotly, Seaborn, Google Facet, Tensorboard

➤ AWS Services: S3, EC2, Sagemaker (Notebook, Studio, Experiments),Clarify, Model Monitor

➤ Business Intelligence (BI): Pentaho Business Analytics, IBM Cognos Insight, Data Warehousing, Extract-Transfer-Load (ETL)

➤ Other: SQL,Tableau, ETL, LATEX, Git

Google Scholar:
https://scholar.google.com/citations?user=ILv8KzoAAAAJ&hl=en

- Leading a team of Principal,Senior Machine Learning engineers and Software engineers that supports optimised data-driven decisions to Vanguard clients.
- Managing Senior data scientists, Senior machine learning engineers, developers and engagement leaders.
- Deployed AI driven recommendation models that provide financial strategies that maximize client porfolio return by much more than recommended by any financial advisor (due to privacy and disclosure agreements cannot mention the bps in return) 
- Leading a Recommender System to maximize retirement income that is deployed in production.
- Multiple deliverables including taking ML models into production, including our own general classification and regression model, leveraging surrogate models.
- Customer Journey optimisation using deep learning/RNN and decision engines

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