HIMANSHU JAWALE

Seeking a challenging opportunity where I can contribute my skills to stand-in the growth and success of the organization. I am seeking a role that promotes continuous learning and refinement of my abilities, allowing me to deliver high-quality work and encourage personal development.

• In college, published a paper in the international journal of engineering research & technology,

DOI 10.17577 / IJERTV10IS010247

Subject:- Cars and Pedestrian Detection.

• In this project, I was responsible for detecting cars & pedestrians using Python, specifically for surveillance purposes. Additionally, I utilized OpenCV, Haar-Cascade in the implementation.
• In Post Graduation, handle a team as a project lead.
• In the organization, received training on Docker.
• In college, as a captain I handled the cricket team.

Project: BlockchainSentry

• Link: http://www.blockchainsentry.com/
• Project introduction: Blockchainsentry is an Ethereum-based Blockchain Vulnerability Management system that scans and pinpoints vulnerabilities in a smart contract.
• The results of the scan vulnerability and displayed on a user-friendly dashboard that guides remediation. Secure API's using AWS API gateway and created UserPool using AWS Cognito, created microservices to deploy all services, Developed and debugged as per the client requirement. taking responsibility for a testing product before they committed.
• Prevents future debugging issues in the backend, maintains equipment and improves software, and performs multi point safety and efficiency inspections.
• We can scan the smart contract vulnerabilities. Smart contracts are exposed to various external vulnerabilities that can lead to malicious attacks of data thefts and recurring financial threats.
• BlockChainSentry performs smart contract vulnerability assessments by pinpointing the vulnerabilities at various stages & reports the severities of the attack and offers its remediation.

Project: Stock Market Prediction

• Led the development and execution of predictive models for stock price movements, employing advanced statistical methods and machine learning algorithms.
• Conducted thorough data analysis on historical stock data, identifying crucial patterns and trends to improve prediction accuracy.
• Worked collaboratively with a cross-functional team to create and implement a proprietary trading algorithm.
• Successfully predicted market downturns and upturns, contributing to the formulation of risk management strategies that safeguarded client assets during volatile market conditions.
• Utilized programming languages, such as Python, for manipulating and analyzing extensive datasets for model training and validation.
• Actively participated in regular market briefings and strategy meetings, offering insights and data-driven recommendations to senior management.

Project: Machine Learning Driven Pedestrian and Vehicles Detection (By Using Indian Dataset)

• In this project, my role was to detect objects Like pedestrians and Vehicles.
• It can be used in intelligent video surveillance as an Autonomous Driving-Assistance or Autonomous Driving, etc.
• Tool and Technologies used: Python, JupyterNotebook, OpenCV, YoloV3, Numpy.