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A full-stack software engineer with years of experience in the software development industry. I'm an experienced full-stack developer with top-level proficiency in any of the technologies listed below.
Principal Data Scientist / Applied Machine Learning Engineer with over 10 years of experience exploring, analyzing, and researching financial, real-estate and user behaviour data to procure insights, prescribe recommendations, build models, design experiments and deploy scalable machine learning applications.
I am a Business Intelligence Consultant and Coach with over 20 years of experience in managing operations and implementing data-driven projects across multiple industries. My expertise spans Power BI, Tableau, Looker, business intelligence, project management, data analytics, and process optimization, ensuring organizations can leverage data for smarter decision-making. ➡️ CERTIFICATIONS: ♦ Microsoft Certified: Power BI Data Analyst ♦ Project Management Professional (PMP) ♦ Six Sigma Green Belt ♦ Scrum Master ♦ Scrum Product Owner ➡️ EXPERTISE IN: ♦ Power BI – Integrating, preparing, modeling, visualizing, analyzing, securing, and distributing data ♦ Business Intelligence – Data-driven insights, reporting, and automation ♦ Project Management – Waterfall & Agile methodologies ♦ Lean Six Sigma – Process optimization and efficiency improvements ♦ Data Mining – Extracting, transforming, and analyzing large datasets ♦ Dashboard Design – Creating interactive, real-time analytics solutions ➡️ TOOLS & TECHNOLOGIES: ♦ Power BI Desktop, Power BI Service, Power BI Report Server ♦ Microsoft Excel & Power Query ♦ SQL Server – Data connections & queries ♦ DAX for Big Data – Advanced calculations & analytics ♦ R Script & RStudio – Statistical analysis & predictive modeling ♦ RapidMiner – Machine learning & data mining ♦ Data Integration – Connecting, extracting, cleaning, and organizing data from various sources, including Google ♦ Automation – Streamlining workflows with Power BI dashboards and reporting solutions Power BI Portfolio & Blog 🔹 Power BI Samples: https://links.edds.com.pk/powerbi-samples 🔹 Power BI Blog Posts: https://www.edds.com.pk/category/blog/bi/microsoft-power-bi/ 📌 Long-Term Engagement Terms: https://1drv.ms/b/s!AkmOjWjLHddxhKVBJj0rfUcTPGZ2gw?e=11z3SG
Titled with a Statistics and Data Analysis Engineering degree with a solid problem solving thanks to my mathematics-physics background. Having + 9 years of experience, passionate about anything related to machine learning, loving dealing with structured data, exploring data-mining insights for our daily issues tabular data, finding and creating new features through detailed analysis and approaching projects with different perspective. My portfolio : https://drive.google.com/file/d/10ZTKen56YiXRG43ntIq4F46IWWv9q2Ne/view?usp=share_link My linkedin https://www.linkedin.com/in/mahmoudtrigui/
I am **Data scientist**, Data engineer , Macroeconomic modellers. I want to actively participate in an end-to-end Data project, meeting the business expectations of your customers covering all phases from data acquisition, storage, processing of massive amounts of data, through DataPrep / Dataviz to work together with your Data Engineers, Cloud engineer and Data Architects. I enjoy the variety and technology challenges of large-scale projects. To reach these challenge, I have three skills that I can bring to your company. So my first competency, is related to modelling, econometrician and machine learning algorithm implementing. Secondly, I am endowed with a transversal vision of data analytics, Business Intelligence and programming. This vision relies on my capacity to make the link between the functional parts and the technical parts during the development of a new software. I am also meticulous in technology choice and optimized solutions. Thirdly, I have an agile mind promising business value of team building tapping into the collective intelligence of the team members.
I am a Python Developer with expertise in Machine Learning, Geospatial Analysis, Statistical Analysis and Functional Programming. I hold a BSc in Aerospace Engineering and have worked on impactful projects in AI.
I am a data scientist who has experience working with burgeoning companies like Siam Makro, Glance (Inmobi Group), EpiFi, and Tata 1mg. I also have worked with different companies e.g. InterviewBit, Dezyre, and, RateCity as a research data science consultant. My Domain Expertise is in Fintech, Edtech, and Ecommerce where I have built: recommendation engines, time-series forecasting models, product data science, natural language processing, etc. I have a bias for action, solution-oriented, and have a good track record in communicating with stakeholders and establishing credibility. My role involves deciphering heaps of data, analyzing it, churning out meaningful insights from the data, and assisting stakeholders to make data-driven decisions. I have experience in developing end-to-end data science models helping companies move business metrics. I constantly learn new things and explore new realms of data science.
Please Important! - > Non-U.S. Citizen - Only full remote & contract This profile lists the activities carried out during the last 20 years as a systems developer and architect using software and hardware engineering procedures. Such activities had the necessary technical/theoretical foundation in the research and industrial areas, built over another 20 years of intense work in technical support and consultancy to several companies in several countries. The data presented in this profile are supported and interrelated to a source code base of applications and engineering diagrams used as a demonstration of instruments and systems developed and in operation on laboratory benches today. To access this information please download the PDF document below: URL with condensed profile: [https://msantrax.github.io/msantos\_0123.pdf](https://msantrax.github.io/msantos_0123.pdf) Or go to the Github support page : [https://msantrax.github.io/](https://msantrax.github.io/) Once reviewing the document, use the internal links in the skills panels to navigate to the activity (blue numbers), project (green numbers), or certifications (red Greek letters). There you will find information that supports the declared skill. From there, you can use the external links to access the respective source code repositories and engineering diagrams, course completion certificates, and published peer-reviewed work that supports the activity. Links to results on self-training and assessment sites (such as HakerEarth's CodeMonk for code challenges and Aptitude for general and behavioral validations) will be provided if relevant to the activity. As the task of balancing between precision and synthesis in describing 40 years of intense work in several technical areas is an enormous task, two documents are provided. Use the compact or detailed version as per your need and its links to switch between versions.
Data Scientist with 5 years of experience in Data Analysis and Machine Learning in Retail, Telecom, and Social media industry. Proficient in unsupervised learning, data processing, and natural language processing with strengths in Python and Big Data. Capable of developing, testing, and deploying analytical solutions.
I have good knowledge of predictive analysis, machine learning methodologies, modeling and cluster analysis of large datasets. I am proficient in utilizing SQL in RDBMS concepts. Experience in project documentation (functional and technical), developers and assisting team with project reports and status reports. Highly motivated learner with great team working skills Strong interpersonal, leadership and customer service skills. I have published paper at BMVC 2017: https://arxiv.org/abs/1710.05158 Deep Learning Blogger: https://medium.com/@tushar20 Technical Skills: Tools: Lucene, Latex, Eclipse Languages: Java, C, C++, R, Python Machine Learning Libraries: TensorFlow, Scikit-Learn, Theano, Keras Relational Database Management Systems: MySQL Web framework: HTML, CSS, JavaScript
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