Akash EshwarKumar

• Refined job descriptions and selection criteria with hiring managers to enhance recruitment accuracy.
• Streamlined candidate communication through effective management of applicant tracking system.
• Trained new recruiters in interviewing techniques and candidate qualification methods.
• Developed tailored talent pipeline to improve candidate selection for Infrastructure Management Services (IMS).
• Maintained comprehensive candidate records by efficiently managing applicant tracking system.
• Selected qualified job applicants and provided recommendations to hiring managers.

IMS Competency Areas:

Infrastructure Operations Administration and Integration, Cloud, Network and Security, DevOps, Automation, DBA

• Served as primary contact for client SPOCs, fostering strong relationships with managers.
• Developed connections with hiring managers to clarify talent requirements.
• Focused on ERP and digital technologies to efficiently address workforce needs.
• Established a talent pipeline, achieving consistent month-on-month successful hires aligned with targets.

ERP Areas

SAP (ECC & S4 Hana), Oracle, Workday, SAP (ABAP, BASIS, PIPO, CPI MM, SD, FICO, Ariba, BW)

• Executed end-to-end recruitment cycle, from sourcing to onboarding qualified candidates.
• Leveraged Naukri and LinkedIn for candidate searches, resulting in eight closures for permanent positions.
• Shortlisted candidates and organized face-to-face, Teams, and telephonic interviews based on requirements.
• Conducted follow-ups with candidates throughout interview stages to ensure completion.
• Provided constructive feedback to candidates post-interview to enhance their experience.
• Maintained a robust pipeline of candidates across various technologies to meet business needs.
• Managed both contract and permanent recruitment processes with efficiency.

IT Areas:

Software Development (Full Stack, Back-End, .NET, Java, Angular, React, Android, iOS, Flutter, Embedded), QA & Performance Testing, Data & Analytics (Data Science, AI/ML, Data Engineer, Data Analyst, Business Analyst, SQL, Tableau, RPA)