Ankita Bose
Talent Acquisition Specialist
ankita.bose@example.com · +91 90XXX XXX15 · Bengaluru, Karnataka · linkedin.com/in/ankita-bose-example
Summary
Recruiter with 5 years of experience in end-to-end IT and product hiring for startups and a staffing firm, closing 90 to 110 positions a year. Skilled in Boolean sourcing on Naukri and LinkedIn Recruiter, offer negotiation, campus drives and ATS reporting, with average time to hire of 28 days for mid-level tech roles.
Skills
- Naukri RMS
- LinkedIn Recruiter
- Boolean search
- Lever ATS
- Offer negotiation
- Campus hiring
- Interview scheduling
- Hiring dashboards in Excel
Core skills
End-to-end recruitment · Stakeholder management · Candidate experience · Employer branding · Data-driven hiring
Work experience
Talent Acquisition Specialist, Finvista Technologies Pvt Ltd, Bengaluru
Jan 2023 – Present
- Own hiring for engineering, data and product roles across 4 business units, closing 104 positions in 2025 against a target of 95.
- Cut average time to hire for SDE II roles from 41 to 28 days by building talent pools and pre-booking interview panels each sprint.
- Raised offer-to-joining ratio from 71% to 86% with structured pre-joining engagement and counter-offer checks.
- Set up referral campaigns that now deliver 32% of technical hires and saved about ₹38 lakh in agency fees in one year.
Recruiter, Talentbridge Staffing Solutions, Kolkata
Jun 2021 – Dec 2022
- Sourced and screened candidates for 12 client accounts in IT services, BFSI operations and sales using Naukri RMS and job boards.
- Made 60 to 80 screening calls a week and submitted shortlists within 48 hours of receiving a requirement.
- Closed 140 positions in 18 months, including bulk hiring of 45 voice-process associates in 3 weeks.
Education
PGDM, Human Resources
2019 – 2021
Eastern Institute of Management, Kolkata · 7.4 CGPA
BBA, Business Administration
2016 – 2019
University of Calcutta affiliated college, Kolkata · 68%
Certifications
- LinkedIn Certified Professional - Recruiter, LinkedIn, Mar 2024
Languages
English (Fluent) · Bengali (Native) · Hindi (Fluent)