I am a Bachelor of Computer Applications student specializing in Artificial Intelligence and Machine Learning, with practical experience in bench sales recruitment and web development.
I currently work as a Trainee Bench Sales Recruiter, where I identify, screen, and market IT consultants to clients and vendors. I maintain consultant information including resumes, skills, availability, and work authorization details.
I communicate daily with recruiters, vendors, and clients through LinkedIn, Dice, Monster, and other job platforms to find suitable opportunities for IT consultants. I am developing strong skills in candidate sourcing, screening, vendor coordination, and client communication.
My technical foundation includes Python, SQL, Java, C, JavaScript, HTML, CSS, MySQL, data structures, database management, and object-oriented programming. I also have exposure to data analytics, Power BI, Excel, machine learning fundamentals, and data processing.
I have built full-stack academic projects such as an online polling system and an exam scheduling system. These projects strengthened my skills in FastAPI, Flask, SQLAlchemy, MySQL, authentication, role-based access control, graph algorithms, and responsive web development.
I am a motivated early-career professional who combines technical knowledge with communication and recruiting abilities. I am interested in opportunities where I can continue growing in technology, web development, data, or IT recruitment.
Assists with bench sales recruitment by identifying, screening, and marketing more than 20 IT consultants to potential clients and vendors.
Maintains updated consultant resumes, skill sets, availability, work authorization, and related information. Communicates daily with more than 50 recruiters, vendors, and clients through LinkedIn, Dice, Monster, and other job boards to identify relevant opportunities.
Developed responsive websites using front-end and back-end web technologies.
Collaborated on user interface design and implementation of core website features, following development workflows from requirements gathering through delivery.
Developed practical understanding of artificial intelligence concepts, Python programming, and basic machine learning techniques.
Applied Python-based approaches to data processing and AI problem-solving while strengthening logical thinking, implementation, and problem-solving skills.
Bachelor of Computer Applications, Artificial Intelligence and Machine Learning
Bachelor of Computer Applications in Artificial Intelligence and Machine Learning. CGPA: 7.48. Coursework includes Data Structures and Algorithms, DBMS/SQL, Machine Learning, and Object-Oriented Programming.
Senior Secondary
CBSE Board. Percentage: 63%.
Secondary
CBSE Board. Percentage: 81%.
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