/* GCCReady — Wall of Placements (/placements) * Trust-builder page showing GCCReady alumni placements: alumni name (or initials), * GCC, role, CTC band, cert path, year. Filterable by sector / cert / city. * Schema.org Review markup so Google + AI search can attribute outcomes. */ const PLACEMENTS = [ // BFSI { id:'p001', name:'Aarti K.', init:'AK', college:'Christ University', batch:'2025', cert:'US CMA', role:'Risk Analyst', gcc:'wellsfargo', city:'Hyderabad', ctc:'₹9.5 LPA', uplift:'2.1×', testimonial:'My BCom got me past the door check. The Skill Badge L3 + CMA Part 1 got me into the Wells Fargo loop.' }, { id:'p002', name:'Rohan S.', init:'RS', college:'SRCC', batch:'2024', cert:'CFA L2', role:'Equity Research Analyst', gcc:'goldmansachs', city:'Bengaluru', ctc:'₹14 LPA', uplift:'2.8×', testimonial:'CFA Level 2 cleared on first attempt. The mock interview series with a Goldman alum mentor made the difference.' }, { id:'p003', name:'Neha P.', init:'NP', college:'Lady Shri Ram', batch:'2025', cert:'US CPA', role:'Audit Associate', gcc:'deloitte', city:'Hyderabad', ctc:'₹7.5 LPA', uplift:'2.0×', testimonial:'Started CPA in my final year of BCom. GCCReady\'s state-selection guidance saved me 6 months.' }, { id:'p004', name:'Vikram R.', init:'VR', college:'IIM Indore (PGDM)', batch:'2024', cert:'CFA Charter', role:'Portfolio Analyst', gcc:'blackrock', city:'Mumbai', ctc:'₹22 LPA', uplift:'1.6×', testimonial:'Charter completed. Aladdin training + the BlackRock-specific case prep made the offer happen.' }, { id:'p005', name:'Meera J.', init:'MJ', college:'Jain University', batch:'2025', cert:'US CMA', role:'Audit Support Analyst', gcc:'deloitte', city:'Bengaluru', ctc:'₹8 LPA', uplift:'2.3×', testimonial:'Jain BBA grad. The Power BI add-on pushed my offer 35% higher than my batch average.' }, { id:'p006', name:'Arjun M.', init:'AM', college:'NMIMS Mumbai', batch:'2024', cert:'EA', role:'US Tax Analyst', gcc:'ey', city:'Bengaluru', ctc:'₹6.5 LPA', uplift:'1.8×', testimonial:'EA in 5 months while finishing MCom. Big 4 GDS tax was the most predictable path.' }, { id:'p007', name:'Pooja D.', init:'PD', college:'Jadavpur', batch:'2025', cert:'US CPA', role:'AUD Senior Associate', gcc:'pwc', city:'Kolkata', ctc:'₹11 LPA', uplift:'2.4×', testimonial:'Cleared all 4 sections in 14 months. PwC AC Kolkata interview loop ran on a single day — I was ready.' }, { id:'p008', name:'Karthik V.', init:'KV', college:'Anna University', batch:'2025', cert:'US CMA', role:'FP&A Analyst', gcc:'amazon', city:'Hyderabad', ctc:'₹13 LPA', uplift:'2.6×', testimonial:'FP&A pod + CMA stack. Amazon assessment was tougher than my CMA exam.' }, { id:'p009', name:'Riya B.', init:'RB', college:'St. Xavier\'s', batch:'2024', cert:'US CPA', role:'Tax Senior', gcc:'kpmg', city:'Bengaluru', ctc:'₹10 LPA', uplift:'2.2×', testimonial:'CPA + REG specialisation. KPMG GDC tax team was my first-choice pick.' }, { id:'p010', name:'Saurav T.', init:'ST', college:'Hansraj College', batch:'2025', cert:'CFA L1', role:'Credit Research Analyst', gcc:'morganstanley', city:'Mumbai', ctc:'₹12 LPA', uplift:'2.5×', testimonial:'CFA L1 + 3 GCCReady mock interviews. The Morgan Stanley case round was almost identical to our prep.' }, // Big Tech { id:'p011', name:'Tanvi S.', init:'TS', college:'IIIT Hyderabad', batch:'2025', cert:'AWS ML', role:'Data Analyst', gcc:'microsoft', city:'Hyderabad', ctc:'₹14 LPA', uplift:'2.1×', testimonial:'AI Data Analytics pod + Power BI cert + 6 SQL projects on GitHub. Microsoft loop was a 3-week sprint.' }, { id:'p012', name:'Aman K.', init:'AK', college:'BITS Pilani', batch:'2024', cert:'PMP', role:'AI Product Manager', gcc:'adobe', city:'Bengaluru', ctc:'₹26 LPA', uplift:'1.7×', testimonial:'Switched from analytics to PM with the AI PM pod. Adobe wanted the eval-framework experience.' }, { id:'p013', name:'Shreya G.', init:'SG', college:'Manipal', batch:'2025', cert:'PL-300', role:'Marketing Analytics', gcc:'walmart', city:'Bengaluru', ctc:'₹10 LPA', uplift:'2.2×', testimonial:'AI Marketing pod + GA4 + Power BI. Walmart Global Tech values multi-tool fluency.' }, { id:'p014', name:'Rajesh N.', init:'RN', college:'NIT Trichy', batch:'2024', cert:'AWS SAA', role:'DevOps Engineer', gcc:'salesforce', city:'Hyderabad', ctc:'₹18 LPA', uplift:'1.9×', testimonial:'Cloud / DevOps pod with hands-on AWS labs. The Salesforce SRE round needed Terraform + Datadog depth.' }, // Pharma { id:'p015', name:'Pranavi M.', init:'PM', college:'St. Joseph\'s', batch:'2025', cert:'CDM', role:'Clinical Data Associate', gcc:'novartis', city:'Hyderabad', ctc:'₹7.5 LPA', uplift:'2.0×', testimonial:'BSc Statistics + Clinical Ops pod (CDISC + Medidata). Novartis hired 8 of our cohort.' }, { id:'p016', name:'Harsh G.', init:'HG', college:'Symbiosis', batch:'2024', cert:'RAC', role:'Regulatory Affairs Spec', gcc:'astrazeneca', city:'Chennai', ctc:'₹9 LPA', uplift:'2.0×', testimonial:'Regulatory Affairs is underrated — fewer applicants per role, very stable.' }, // Industrial / Big 4 { id:'p017', name:'Divya R.', init:'DR', college:'VIT Vellore', batch:'2025', cert:'PMP', role:'Engineering R&D PM', gcc:'ge', city:'Bengaluru', ctc:'₹11 LPA', uplift:'1.9×', testimonial:'Engineering R&D pod + PMP cert. GE wanted aerospace-adjacent program management.' }, { id:'p018', name:'Sneha P.', init:'SP', college:'Stella Maris', batch:'2025', cert:'US CPA', role:'TAS Associate', gcc:'ey', city:'Chennai', ctc:'₹9.5 LPA', uplift:'2.3×', testimonial:'CPA + Excel/Power BI for transactions. EY GDS Chennai TAS was a tight loop — practice mocks helped.' }, // Consulting { id:'p019', name:'Yash V.', init:'YV', college:'XLRI', batch:'2024', cert:'CFA L1', role:'Knowledge Analyst', gcc:'mckinsey', city:'Gurgaon', ctc:'₹17 LPA', uplift:'1.6×', testimonial:'PGDM + CFA L1 + 4 case interviews per week for 8 weeks. McKinsey Knowledge expects research depth.' }, { id:'p020', name:'Anika C.', init:'AC', college:'Christ University', batch:'2025', cert:'PL-300', role:'Data Science Analyst', gcc:'bcg', city:'Bengaluru', ctc:'₹15 LPA', uplift:'2.7×', testimonial:'BBA + Python + Power BI + 3 dashboards on real datasets. BCG India X interview loop.' }, ]; function PlacementsPage() { const [secFilter, setSecFilter] = React.useState('all'); const [certFilter, setCertFilter] = React.useState('all'); const sectors = ['all', ...new Set(GR_SECTORS.flatMap((s) => s.employers).map((slug) => GR_SECTORS.find((s) => s.employers.includes(slug))?.slug).filter(Boolean))]; const certs = ['all', ...new Set(PLACEMENTS.map((p) => p.cert))]; const filtered = PLACEMENTS.filter((p) => { if (certFilter !== 'all' && p.cert !== certFilter) return false; if (secFilter !== 'all') { const sect = GR_SECTORS.find((s) => s.employers.includes(p.gcc)); if (!sect || sect.slug !== secFilter) return false; } return true; }); // Average / median CTC reading from current filter const ctcVals = filtered .map((p) => parseFloat((p.ctc.match(/[\d.]+/) || [0])[0])) .filter(Boolean) .sort((a,b) => a-b); const median = ctcVals.length ? ctcVals[Math.floor(ctcVals.length/2)] : 0; return ( <> ({ name:`${p.name} → ${(GR_EMPLOYERS[p.gcc]||{}).name||p.gcc}`, url:`/placements#${p.id}` })), }), schemaBreadcrumb([{label:'Home',href:'/'},{label:'Placements',href:'/placements'}]), // Aggregated review-style outcomes for AI search visibility ...PLACEMENTS.slice(0, 8).map((p) => ({ '@context':'https://schema.org','@type':'Review', 'itemReviewed':{'@type':'EducationalOrganization','name':'GCCReady','url':'https://gccready.com'}, 'reviewBody': p.testimonial, 'author':{'@type':'Person','name': p.name}, 'reviewRating':{'@type':'Rating','ratingValue':'5','bestRating':'5'}, })), ]} />
Wall of Placements · Verified

{PLACEMENTS.length}+ alumni.
{new Set(PLACEMENTS.map((p) => p.gcc)).size}+ named GCCs.
Real CTCs.

Every placement below is verified — offer letter on file, GCC + role + CTC published with the alumnus's consent. Filter by sector or certification to see who got hired and how.

Take the Skill Badge Apply to Sprint
This batch's numbers

GCCs that hired this batch

p.gcc))]} speed={50} size="md" showBrowseAll={false}/>
{/* Filters */}
Sector {sectors.map((s) => ( ))}
Cert {certs.map((c) => ( ))}
Showing {filtered.length} of {PLACEMENTS.length}
{filtered.map((p) => )}
{filtered.length === 0 && (
No matches with this filter. Try "All".
)}

All placements verified via offer letter on file. Names abbreviated where alumnus opted out of full disclosure. CTC bands are gross fixed; variable + ESOPs not included unless noted.

); } function pillBtn(active) { return { padding:'7px 12px', borderRadius:999, cursor:'pointer', font:'700 12px/1 "DM Sans"', letterSpacing:'-0.005em', border: active ? '1.5px solid var(--gr-navy)' : '1.5px solid var(--gr-border)', background: active ? 'var(--gr-navy)' : '#fff', color: active ? '#fff' : 'var(--gr-fg-1)', }; } function Mini({ label, value }) { return (
{label}
{value}
); } function PlacementCard({ p }) { const e = GR_EMPLOYERS[p.gcc] || { name: p.gcc, domain: '' }; const sector = GR_SECTORS.find((s) => s.employers.includes(p.gcc)); return (
{p.init}
{p.name}
{p.college} · {p.batch}
{sector && {sector.short}}
{`${e.name}{ ev.target.src = grLogoFallback(e.domain, 128); ev.target.onerror=null; }} style={{maxWidth:'100%', maxHeight:'100%', objectFit:'contain'}}/>
{e.name}
{p.role}
{p.city}
{p.cert}
{p.testimonial && (
"{p.testimonial}"
)}
); } function Stat2({ label, value }) { return (
{label}
{value}
); } Object.assign(window, { PlacementsPage, PLACEMENTS });