Apr 2025 – Present · 1 yr 2 mos

• Doc.ai : Designed and led the end-to-end development of an AI-driven document intelligence platform, enabling automated extraction, classification, and validation of documents across multiple stages of the loan journey. Enhanced document processing speed and accuracy, directly improving customer experience and operational efficiency.
• Bank Statement Analyser : Headed the design and execution of an AI-powered Bank Statement Analysis Solution, incorporating advanced parsing and tampering detection models to strengthen fraud prevention. Achieved significant cost savings (₹6.5 crore → ₹2 crore) by replacing external vendors with in-house AI solutions and optimizing internal workflows.
• Offer Mart: Defined the strategy and architecture for a rule-based personalization engine, generating tailored offers and next-best-action recommendations. Enabled cross-sell and upsell opportunities, boosting customer engagement and revenue potential.
• Real-Time Data Privacy System: Developed and deployed an OCR + YOLO-powered document masking solution, ensuring automatic redaction of sensitive information and compliance with data privacy regulations in real-time.
• Partnered with business, risk, and compliance teams to align AI strategy with organizational goals, ensuring scalable and cost-efficient implementations.
• 𝐊𝐞𝐲 𝐈𝐦𝐩𝐚𝐜𝐭: 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 𝐥𝐚𝐫𝐠𝐞-𝐬𝐜𝐚𝐥𝐞 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐟𝐫𝐚𝐮𝐝 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧, 𝐫𝐞𝐝𝐮𝐜𝐞𝐝 𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐲 𝐨𝐧 𝐭𝐡𝐢𝐫𝐝-𝐩𝐚𝐫𝐭𝐲 𝐯𝐞𝐧𝐝𝐨𝐫𝐬, 𝐞𝐧𝐚𝐛𝐥𝐞𝐝 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐭 𝐬𝐜𝐚𝐥𝐞, 𝐚𝐧𝐝 𝐞𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞—𝐚𝐥𝐥 𝐰𝐡𝐢𝐥𝐞 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐦𝐮𝐥𝐭𝐢-𝐜𝐫𝐨𝐫𝐞 𝐜𝐨𝐬𝐭 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬.

Apr 2023 – Mar 2025 · 1 yr 11 mos

• Led a team of 4 data professionals, successfully introducing Agile methodology and establishing a JIRA dashboard to streamline project workflows and enhance delivery efficiency. Spearheaded the development and deployment of an automated resume parsing system, reducing HR shortlisting time by 40% and operational costs by 62%, significantly improving recruitment efficiency. Designed and implemented a fully automated pipeline for machine learning model deployment, ensuring faster iteration cycles and improved model management in production environments. Played a key role in strategic decision-making, including incentive structure design for sales teams, channel partners, and collection agents, aligning performance metrics with business goals. Collaborated closely with cross-functional business heads to understand pain points and deliver tailored technology solutions, enhancing operational effectiveness across departments. Developed a primary fraud detection gateway that evaluates every incoming lead, serving as the first line of defence and strengthening risk mitigation processes at the point of entry.
• 𝐊𝐞𝐲 𝐈𝐦𝐩𝐚𝐜𝐭: 𝐋𝐞𝐝 𝐚 𝐝𝐚𝐭𝐚 𝐭𝐞𝐚𝐦 𝐭𝐨 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐀𝐠𝐢𝐥𝐞 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐢𝐧𝐢𝐭𝐢𝐚𝐭𝐢𝐯𝐞𝐬, 𝐫𝐞𝐝𝐮𝐜𝐢𝐧𝐠 𝐇𝐑 𝐜𝐨𝐬𝐭𝐬 𝐛𝐲 62%, 𝐢𝐦𝐩𝐫𝐨𝐯𝐢𝐧𝐠 𝐫𝐞𝐜𝐫𝐮𝐢𝐭𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐌𝐋 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲, 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐢𝐧𝐠 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐜𝐞𝐧𝐭𝐢𝐯𝐞𝐬, 𝐞𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐜𝐫𝐨𝐬𝐬-𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬, 𝐚𝐧𝐝 𝐬𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐞𝐧𝐢𝐧𝐠 𝐟𝐫𝐚𝐮𝐝 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐫𝐢𝐬𝐤 𝐜𝐨𝐧𝐭𝐫𝐨𝐥.

Aug 2021 – Mar 2023 · 1 yr 7 mos

• Involved in building a strong data foundation that enables better business decisions. I started by creating Operational Data Layers (ODL) from raw data and preparing it to suit the analytical and dashboarding needs of different stakeholders. Collaborating closely with cross-functional teams, I transformed complex business requirements into actionable data solutions that power daily, weekly, and monthly leadership reports. Along the way, I built data lakes and data marts to support various business functions, designed cloud-based data architectures, and led the migration of our data warehouse from PostgreSQL to Snowflake to improve performance and scalability. I also developed MLOps pipelines on AWS from scratch, ensuring smooth and automated model deployments. Beyond these core responsibilities, I took ownership of resolving data discrepancies through detailed root cause analysis, delivered multiple end-to-end dashboards and automated reports that significantly reduced manual effort, and played a key role in shaping the architecture of our internal Self-Service Business Intelligence (SSBI) platform. Whether it was an ad hoc data request or a complex reporting challenge, my focus has always been on delivering accurate, scalable, and business-driven data solutions that make decision-making faster and smarter.
• 𝐊𝐞𝐲 𝐈𝐦𝐩𝐚𝐜𝐭: 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞𝐝 𝐭𝐡𝐞 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧’𝐬 𝐞𝐧𝐭𝐢𝐫𝐞 𝐝𝐚𝐭𝐚 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞 — 𝐟𝐫𝐨𝐦 𝐫𝐚𝐰 𝐢𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐭𝐨 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐫𝐞𝐚𝐝𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 — 𝐞𝐧𝐚𝐛𝐥𝐢𝐧𝐠 𝐟𝐚𝐬𝐭𝐞𝐫 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞 𝐢𝐧𝐟𝐨𝐫𝐦𝐞𝐝 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠 𝐚𝐜𝐫𝐨𝐬𝐬 𝐭𝐞𝐚𝐦𝐬. 𝐁𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐏𝐨𝐬𝐭𝐠𝐫𝐞𝐒𝐐𝐋 𝐭𝐨 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐌𝐋𝐎𝐩𝐬 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐨𝐧 𝐀𝐖𝐒, 𝐈 𝐬𝐢𝐠𝐧𝐢𝐟𝐢𝐜𝐚𝐧𝐭𝐥𝐲 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐝𝐚𝐭𝐚 𝐚𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲, 𝐬𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐚𝐧𝐝 𝐦𝐨𝐝𝐞𝐥 𝐝𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲.