Abhishek Nikam

I'm

About

Welcome to my portfolio! I am Passionate about cloud computing, web development, and software development. Skilled in architecting scalable and secure cloud-based solutions, leveraging AWS, Azure, and Google Cloud. Proficient in front-end and back-end development, creating intuitive user interfaces and building robust web applications using HTML, CSS, JavaScript, React.js, node js , MongoDB. Experienced in full software development lifecycle, from requirements gathering to deployment. Committed to continuous learning and staying up-to-date with emerging trends. Let's connect and collaborate to drive innovation and create meaningful impact together

Birthday: 05 august 2002
Phone: +91 8767252648

City: Chhatrapati Sambhaji Nagar
Email: abhisheknikam0508@gmail.com

Interests

Software Development

Cloud Computing

Web Development

Machine Learning

Responsive Education Section

Education

MIT ACADEMY OF ENGINEERING

BTech In Computer Science

Janurary 2021 - Present

Relevant Coursework

Cloud Computing
Database Management Systems

Maharashtra State Board

12th

March 2020

Relevant Coursework

PCMB
84.7%

Maharashtra State Board

10th

June 2018

Relevant Coursework

PCMB
91%

Online Certification

Microsoft Azure Fundamentals

Microsoft Data fundamentals

Microsoft AI fundamentals

Microsoft Certified: Security, Compliance, and Identity Fundamentals

Amazon Cloud Foundation

Cisco Network Essentials

Education

MIT ACADEMY OF ENGINEERING

BTech In Computer Science

Janurary 2021 - Present

Relevant Coursework

Cloud Computing
Database Management Systems

Maharashtra State Board

12th

March 2020

Relevant Coursework

PCMB
84.7%

Maharashtra State Board

10th

June 2018

Relevant Coursework

PCMB
91%

Online Certification

Microsoft Azure Fundamentals

Microsoft Data fundamentals

Microsoft AI fundamentals

Microsoft Certified: Security, Compliance, and Identity Fundamentals

Amazon Cloud Foundation

Cisco Network Essentials

Experience

Worqhat

Cloud Computing Intern

Create a high-level design and architecture for the chatbot solution. Determine the chatbot's conversational flow, integration points, and data sources. Consider using Azure services like Azure Bot Service, Language Understanding (LUIS), and Azure Cognitive Services for natural language processing and understanding.
Utilize Azure Language Understanding (LUIS) to train chatbot in understanding user intents and entities. Define and train the LUIS model with sample utterances, intents, and entities relevant to chatbot's use cases.
Continuously improve the model by adding more data and refining it based on user interactions and feedback.

VIEH GROUP

feb 2022 - april 2022

Machine Learning Intern

Use techniques like correlation analysis, information gain, or recursive feature elimination to identify the most informative features for breast cancer prediction.
Deployed the project on Heroku