Professional Experience
- Machine Learning with python, Excel, Power BI
Rooman Technologies Pvt.Ltd
• Created and edited reports detailing program information and usage in response to customer requests.
• Maintained availability and responsiveness of systems, guaranteeing security and integrity.
• Worked with other disciplines on systems designed for clients to understand building needs. - Python with Machine Learning
Pie Infocomm Company
• Worked on the Mango Leaf Disease Detection project using Python with Machine Learning.
• Participated in code reviews, testing, and debugging to ensure high-quality, efficient code.
• Successfully contributed to the project’s timely delivery, demonstrating strong problem-solving skills.
Educational Qualifications
- Master of Computer Applications
- Bachelor of Computer Applications
Skills
- Languages: Python, C/C++, HTML/CSS, SQL
- Technologies: Machine Learning, DBMS
- Soft Skills: Observation, Decision Making, Communication, Multi-tasking
Certifications
- Skill development on AI and ML, Indoskill (01/2023)
- ADVANCED JAVA Training at Netcraftz
- Web Application Technologies and Django, University of Michigan (02/2024)
- IT Automation in python from coursera (02/2022)
Projects
- Crime Reporting System | HTML, CSS, JavaScript, PHP, MySQL
• Built using HTML, CSS, JavaScript, PHP, and MySQL. Developed a crime records management system. - Online Travel and Tourism Portal | Java,MySQL
• It provides heritage, cultural, medical, business and sports tourism.The main objective of this project is to develop
and promote tourism. Using java and my sql this project was implemented. - Brain Tumour Detection | Machine Learning,Python
• Detecting brain tumors using machine learning is a critical and complex task that can help healthcare professionals
identify potential cases of brain cancer earlier and with higher accuracy - Smart Blind Stick Using Arduino | IOT
• This project used to detect the object.Implemented a sensor to prevent them from getting hurt into obstacles. - Detection of Malicious Images | Machine Learning
• Detecting malicious or inappropriate images using machine learning involves developing models that can classify
images into categories such as safe or unsafe content.
Publications
