Sensor Fusion: - Done sensor fusion for Camera + Radar data of different FOV in fused output to increase the accuracies of algorithm also to reduce the load from Jetson TDX2. In fusion used Statistics methods like Data Association rules, mapped Information, merger information, set theory etc. and achieved 88?curacy with 28 FPS.Sensor Fusion: - Done sensor fusion for Camera + Radar data of different FOV in fused output to increase the accuracies of algorithm also to reduce the load from Jetson TDX2. In fusion used Statistics methods like Data Association rules, mapped Information, merger information, set theory etc. and achieved 88?curacy with 28 FPS.

Implemented the Tensorflow to analyze the TCP, ICMP packets to provide the information towards CVSS score and understand the ip’s accessed from any protected them to help in Risk Modelling.

Using ML to create a policy for different bizapp and recommendation for their different resources to help client to improve their risk score on IOT and different cloud platform with secured user access using power BI as visualization tool. Working on Virus traces for time – now till end of identify the virus and its implement on their connected sources, also Dos attack at different level with ransom and wannacry too. Working with NO-SQL, Mongo DB, Kafka and schema design with pattern identification.

Tools Used: - Weka, Python, R-Studio, Amazon, Azure, Power BI, IOT domain.

Implementation of CNN in Impact Detection system by the help of CMD (accelerometer, gyrometer) for car insurance purpose also helping in data collection of design of CMD orientation for small, medium & SUV’s car.

Done sensor fusion for Camera + Radar data of different FOV in fused output to increase the accuracies of algorithm also to reduce the load from Jetson TDX2. In fusion used Statistics methods like Data Association rules, mapped Information, merger information, set theory etc. and achieved 88?curacy with 28 FPS used TensorFlow with FPGA.

TWC: - Working on predication of Power consumptions with machine learning algorithm for Texas USA with the help of neural network, using python as language. (Internal)

Yield Management: - Worked to increase revenue of the airlines with the help of Random forest with different parameters, used python as language. (Internal)

Text Mining and Customer Prediction: - working on the forecast Architecture design with building some algorithm with algorithm with SVM with layering of collective Intelligence

Support routine big data analysis requests from internal team/customer, including NGS, Big Query etc.

Bioinformatics support: - Support bioinformatics requests for R&D, Production, Operation, Marketing, Sales prediction and other forecast. Working with Python on Spark Engine with Google Cloud Computing as Hadoop with GHFS and maintaining the pipelines of Algorithm

Working on B2C for creating a new page ranking algorithm on near 30 parameters and their dependences for predicting the behaviours, with logs, chat sentimental, history and many more.

➢ Tried to implement argument reality for this project.

➢ Handling nodejs, with mongo dB, servers & API for connecting algorithm to B2C.

➢ Helping on Schema and Architecture for this project

. ➢ Working on very high level of ML, NLP, Hadoop, and Python with Many IDE’s.

Working on Recurrent Neural Network “Cellular Automata” with high level of Bayesian Probabilities with Action Units (“Eyes, Brow, Nose, mouth”) with their mutual information.

Project: - 3D game with collective intelligence (big data), new Algorithm and Artificial Neural Network with Machine Learning with Android Mobile Technology to solve Pattern and Noise Problem.

NSTC NOIDA is org which provide training and work experience according to project for AI in Nano science (Computer and Electronics). I had learned Data processing with algorithm with NLP, ML with Python, Python Master with Java, Submitted thesis on this project.

Responsibilities: • Done Research on New algorithm with data processing. • Done core coding with research in Python, Python master and Java

Description: Bio aides nanobots will going to help us to learn and develop a Super Intelligence System with Collective Intelligence, A machine which have the ability to Recognised with the of 99.99?curate answers each and every time. This Human computer Interaction is fully depend on the Nano cells in human brain and other parts, this machine can be used in all stream of development(medical, security, etc). The understanding of human brain waves and other neurons structure in machine with Wireless connection is going to built a super human Interaction system, which can’t be Wrong (accurate up to 99.99%) because it read the brain waves with EEG, HEG with Nano Cells from Inside of human brain