Prakhar Srivastava's Contact Details

Prakhar Srivastava's Company Details

Kode Tiger

, , • 11 - 50 Employees
Information Technology and Services

► We specialize in developing Custom Software, Websites and Mobile Apps for our clients. As a Full Stack Development company, we can solve any developmental problem if we have the problem statement.Our key strengths are:- True Full Stack Development skills- Understand the problems, outline the requirements and Develop highly sustainable architecture- Follow Progressive Development practices - Agile Methodology- Develop Clean and user-friendly Codes along with proper Documentations- Provide Consultations, whenever it is required, for the benefit of our ClientsWith comprehensive experience in:Software / Web: Java - Spring boot, PHP-Laravel, Python-Django-Flask, AngularJS, ReactJS, Bootstrap, NodeJSMobile Apps: Java, Android SDK, Objective C, Swift, Flutter, Rich Internet Applications, API Driven, Cloud integrated► We are efficient in developing Machine Learning Algorithms and help in solving business problems by developing AI tools.We solve many problems using Linear Regression, Logistic Regression, Decision Tree, Support Vector Machines, Naive Bayes, kNN, K-Means, Random Forest, Gradient Boosting Algorithms, Principal Component Analysis, Reinforcement Learning, Natural Language Processing, Artificial Neural Networks, Image Classification.Tools: Python, R, Scikit-learn, Keras, Pytorch, Tensorflow, XGboost, Rapid Miner, Spark MLlib, AWS Sagemaker/Kendra/Personalize/Textract/Comprehend/Vision/ Panorama/Rekognition/Lex/Transcribe/Polly, and more.► We have a team specializing in AWS, Cloud Storage, Cloud Security, Cloud Deployment, Serverless, Cloud Monitoring, Cloud Data Analytics, Cloud Machine Learning. Anything related to AWS Architecture and Development, we do it.Tools: (AWS) S3, RDB, Aurora, DynamoDB, Redshift, ElasticSearch, EC2, ECS, Fargate, Lambda, CloudTrail, CloudWatch, IAM, and all other AWS services► Our team also specializes in Data Analytics, Data Visualization and Data Preparation