Diksha Yadav

Mettl Secure Browser ( Desktop application)

• Led product development and roadmap planning for MSB, a lockdown application supported on both Windows & Mac, empowered 2.2 M+ secure remote assessments sessions across globe in 2024
• Continuously track emerging global cheating trends—from AI-powered cheating applications (ChatGPT, Perplexity) to new-age camera/screen-extension tools—conduct rapid threat assessment, and ship countermeasures within weeks to block new high-risk vectors.
• Implemented OS-level KPI tracking: Monitored traffic split across Windows vs. Mac, and granular OS version adoption (e.g., Win 10/11, macOS Ventura/Sonoma) to guide the release strategy for anti-cheating functionalities and compatibility updates
• Built telemetry-led diagnostics to reduce MTTR and mitigate global outages - Improved application-device compatibility.
• Achieved 32% reduction in support tickets through UX redesign and embedded troubleshooting.
• Ensured GDPR-aligned, privacy-first AI implementation across the assessment ecosystem.

Secure Proctor (Proctoring-as-a-Service Platform, API & LTI Integrations)

• Own the global product charter for Secure Proctor across 5 countries; lead a 12-member cross-functional team encompassing AI, engineering, design & operations.
• Built and scaled AI-driven face & object detection models (gaze tracking, mobile detection, impersonation) improving credibility scoring accuracy and reducing false positives
• Generative AI initiative for detecting cheating software via real-time LLM querying & classification, expanding AI coverage and reducing manual reviews
• Drove 53% YoY revenue growth by strengthening product-market fit in LATAM and establishing strategic institutional partnerships
• Launched a self-serve multilingual analytics and proctoring dashboard (28 languages), improving adoption and reducing onboarding time.
• Instituted KPI-driven product analytics: instrumented full candidate funnel to identify journey drop-off points (ID verification, system check, permission access, onboarding) and optimized these flows to improve completion rates and reduce support escalations
• Defined feature prioritization for Chrome plugin, LTI integrations, anomaly reports, and quality alerts, accelerating AI-proctoring adoption among enterprise customers.

• Leading the product PNS (Preferred Number Service) with a team of 9 catering to 2.7 M+ suppliers both Paid & Free
• Delivered major projects: Industrial Model for supplier ranking, Spam Detection Model (88 % accuracy) & Reverse Lookup Model
• Delivered KPI uplift across Success Rate (+1.4%), Number Mapping (+18%), Attempt-to-Applicable (+2.6%).
• From requirement development to successful onboarding of two major telco players Airtel & TATA Communications
• Reduced annual operating cost by ₹2.27 Cr through PNS algorithmic optimization & number mapping
• Led UX/content optimization across Email/SMS/Push—boosting OR +14.89% and CTR +6.43%.
• Implemented uniform UX & communication across platforms (Android, iOS app and website), aligning user experience and boosting engagement

• Led a team of 18 for the product Tookan (SAAS based delivery solution) which is the flagship product of Jungleworks
• Successfully delivered 4 features: Paytm Payout, Customer Wallet, Agent Incentive and Surge Pricing. In pipeline: Referral Prog.
• Conducted regular competitive analysis and successfully added new Logistics verticals: Hub-to-hub delivery model
• Built and maintained product roadmap via feedback from clients, users & team, . Reached product milestone of $10,000/day sales
• Personally handled largest client requirements: Woowa Brothers Vietnam & facilitated their business expansion in Japan

• Responsible for establishing a strong digital footprint of the bank, shifting customers from offline to online digital platforms
• Meeting weekly sales targets of financial products like CASA, loans, FD and at the same time enhancing customer relationship

• Developed and submitted an android technology application after successfully clearing TCS Remote Internship 2.0 exam
• Recommended by TCS in campus placements for efficiently developing ready to use “Mobile Based Attendance Application”

GPA: 75%

GPA: 7.97

GPA: 92.60%

GPA: 95.00%