Vikas Kumar

Detail-focused Data Analyst with knowledge in data warehousing, process validation and business needs analysis. Proven to understand customer requirements and translate into actionable project plans. Dedicated and hard-working with passion for Big Data.

• Python Basic to Advanced
• Business Intelligence Professional Course
• HTML & CSS Mastery
• AngularJS
• SEO

Led Team in Age Classification Project

Guided and directed a cross-functional team through the successful development of an advanced age classification project.

Defined project objectives, milestones, and deliverables, ensuring alignment with organizational goals.

Orchestrated collaborative efforts, leveraging diverse skills in data science, machine learning, and software development to achieve project excellence.

Fostered a culture of innovation and problem-solving, resulting in the successful implementation of a robust age classification system using Python and machine learning algorithms.

Oversaw the project lifecycle from conceptualization to implementation, maintaining a focus on accuracy, efficiency, and business impact.

Effectively communicated project progress, challenges, and outcomes to stakeholders, ensuring alignment with expectations and objectives.

Enhancement of College Attendance System

Collaborated on the enhancement of the college attendance system, contributing to a more efficient and automated process.

Analyzed existing system functionalities, identified areas for improvement, and implemented enhancements to streamline attendance tracking.

Utilized technological solutions to increase accuracy and reduce manual efforts, resulting in a notable improvement in attendance record reliability.

Worked closely with stakeholders, including faculty and administrative staff, to understand requirements and ensure the system met the needs of diverse users.

Provided training and support to end-users during the implementation phase, fostering smooth adoption and minimizing disruptions.

Demonstrated problem-solving skills by addressing challenges in the existing system and implementing effective solutions.

Developed Python-based AI Assistant

Architected and implemented an AI assistant using Python, seamlessly integrating natural language processing and machine learning technologies.

Designed and deployed features for task automation, data analysis, and user interaction, enhancing overall efficiency and user experience.

Demonstrated strong problem-solving skills by addressing challenges in algorithm design and optimization, resulting in a responsive and adaptable AI assistant.