Amar Lal

Comparative Analysis of Clustering Algorithms on Sports Data • Prediction of football fixtures based on home location using some modules including K-means, Naive Bayes, Logistic Regression and got around 95 percent accuracy. • There are two inputs, Home Team & Away Team. • Made a predictor in end so people can use it. • People can use the predictor to predict the win or loss for team, after giving the names of Home & Away Teams. Technologies used: Jupyter Notebook, Python 3.6, Python Libraries

• Involved in every phase of the life cycle gathering all the key requirements in the project from Design, Analysis, Development, Testing and Deployment of the solution in the MS Dynamic CRM. • Responsible for all phases of the software development lifecycle (mainly in Microsoft Dynamics CRM) including application reporting, unit testing, installation, deployment, and support. Tools Used: Azure DevOps, Scrum, PowerApps Studio, Maker Portal, SDK, Ribbon Workbench, Sitemap Editor, Outlook, MS Teams

• Program development as an extension to our billing program. • Coordination of software updates with our IT service provider via e-mail. • Controlling in close cooperation with the department management. • General commercial temporary work. • Preparation of offers and invoices, order processing, calculation and construction site preparation using Winworker. Skills: pandas · Python (Programming Language) · Data Analysis · NumPy · Data Visualization

• Work as an intern front-end web developer in IT-department. Technologies and tools used: Development and Debugging with Html, CSS, Bootstrap, WordPress, JavaScript, Atom IDE Skills: Atom · WordPress · HTML · Cascading Style Sheets (CSS)

System Simulation, Data Mining, Data Analysis, Statistics, Geoinformatics

Mathematics, Statistics, Computer Science, programming languages such as C++, Java, Php and MATLAB