EXPLORE

.NET AJAX Link Building Linux SEO
Profile cover photo
User Avatar

Ammar Asjad R.

@ammarasjad2

verified-v2.svg
0.0
1

1.3

1.3

50%

Kundenzufriedenheit mit 0-bug software-entwicklung

$35 USD / Hour

・

Flag of

Germany (4:50 AM)

・

Joined on May 1, 2011

$35 USD / Hour

・

Greetings from South of Germany! Wir sind Ihr deutscher Technologiepartner auf Machine Learnen und Data-Science. #agile-process #devops #test-automation #MVP #jenkins #azure #data-analytics #sql #web-hosting #ui/ux #machine learning #data-mining #innovation #laravel #wordpress #php-development #data-science Ähdus Technology has extensive Data-science, data mining, data-analytics , Machine Learning and Deep Learning experience. Having led projects of more than €500.000 and re-shaped culture of many many teams to agile mindset. my core focus is delivering value to customer and generating faster feedback loops with them. @ Ähdus Technology, we work in 2-weeks sprint which gives us smaller releases of cutomer products and generate a constant communication loop of change management when required. We firmly believe in minimum viable product model. Two things we don't do at Ähdus Technolog: 1. Planning a software project for more than 3 Months 2. Doing only manual testing Our core team beleive that plannign should be done on regular basis and testing should be done with automation too. Only then a great product can be made and keep customers happy! Work with us and you will enjoy faster time to your requirements deliverables, automated testing and automation with DevOps.

Verifications

Accept rate

50%

Portfolio

Portfolio

1042912
1042912
0.0 · 1 Review
1 Review
User Avatar
Flag of

Ishmael S.

0.0

$100 USD

15 years ago

Plugin For CMS

Did not complete in the deadline and then continued to say he would be able tod it for two weeks after the deadline then said he didnt have the knowledge to do it

Share

Experience

Sr. Artificial Intelligence & Advanced Prgamming languages expert

Apr, 2016 - Present

•

10 years, 2 months

UniTylab at Hochschule Heilbronn

Apr, 2016 - Present

•

10 years, 2 months

- Business Modeling - Intelligent Systems - Project Management - Information Management - Deep-learning - Machine-Learning - UI/UX

Apr, 2016 - Present

•

10 years, 2 months

Education

Hochschule Heilbronn - Hochschule für Technik und Wirtschaft

2015 - 2017

•

2 years

Masters in Software Engineering und Management

Flag of

Germany

2015 - 2017

•

2 years

Qualifications

Machine Learning With Big Data

2017

University of California San Diego

Machine Learning Concepts, Knime, Machine Learning, Apache Spark See credentials: https://www.coursera.org/account/accomplishments/verify/VB4AGSAKEA8U

2017

Professional Agile Leadership - PAL

2020

Scrum.org

The Professional Agile LeadershipTM (PAL I) assessment is available to anyone who wishes to validate that you are a leader who understands that being Agile adds value to your business, and why leadership understanding, sponsorship, and support of Agile practices are essential to an organization becoming more agile. See credentials: https://www.scrum.org/user/286227

2020

Publications

Intelligent Syncope Disease prediction framework using DM-ensemble techniques

Future Technologies Conference (FTC) 2016 - SanFrancisco

A ML-framework is proposed to predict Syncope Disease using Ensemble technique that contains Naïve Bayes, Gini Index and Support Vector Machine classifiers. Patient's data set for this research work is obtained from a Cardialogiy hospitla from Pakistan. Thirty one attributes have been used to predict Syncope using Ensemble techniques but each technique uses its own way to predict Syncope based on specific rules. Tools & techniques: ML tensor-flow, Kubernetes, Docker, Naïve Bayes,Gini Index

A novel framework for Prediction of Syncope disease using k-means algorithm

Future Technologies Conference (FTC) 2015 - London

This paper presents novel framework for predicting possible causes of syncope disease. The validation of framework is performed through real case study. K-means clustering algorithm is used for classification of dataset. Results are compared by applying K-means fast, K medoids and X-means algorithms. Empirical results prove that proposed framework improve the predication accuracy through novel clustering approach for possible syncope causes. Research tools & ML methods: K-means, ML, R

Registered Users

Total Jobs Posted

Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)

Copyright © 2026 Freelancer Technology Pty Limited (ACN 142 189 759)