Aman Singhal

• Formalized and guided a team of 4 product managers and 4 UI/UX experts to implement a strategic product delivery vision
• Instituted processes to create a thoroughly researched product, stakeholder management and development handover, ensuring a streamlined product development lifecycle
• Established continuous product monitoring and analytics systems to foster data driven decisions; introduced a design system approach

Achievements:

• Revamped the original product thoroughly
• Developed new products that users consistently use or engage with.
• Continuously enhanced user journeys to directly improve conversion rates.

• Transformed an outdated fraud system by overhauling and automating significant components, ensuring scalability and robustness
• Established and directed a team of analysts to create real time monitoring to detect anomalies, chargeback resolutions and data modeling.
• Collaborated with payments entities such as banks, processors and aggregators to optimize payment flows, inadvertently elevating acceptance while mitigating fraud.

Achievements:

• Reduced fraud by about 75%
• Improved payment acceptance from 88% to 94%
• Brought manual interference to almost 0%

• Built a CS team from scratch and established processes to ensure customer satisfaction. Set up SLAs and methodologies to meet them.
• Digitized all the CS internal workings into data and thus produced data driven actionable items; opened new channels of communication with the users.
• Implemented CS to direct product improvement approach, synergizing customer complaint to agile product improvements

Achievements:

• Surpassed and maintain all SLAs and CSAT with a small team
• Continuously lowered complaints to transactions ratio over time

• Started the department with one collaborator, starting from data integrations, ETL to live data dashboards and reports
• Recruited and developed young analysts to build a self driven team

Took some time off from the corporate world, built a hostel for backpackers in chiapas, Mexico

• Built and Established BI, commenced from DB architecture , ETL , to fully automated reports and insights.
• Mapped and Automated, daily operations from dominant departments of Business on to data processes, further utilizing them to create master KPIs.
• Eventually converting everything to data and using the inferences to back business decisions.

• Reported commercial KPIs and Weekly Business Reviews to MDs and C-suite. Built reports to analize the Market share and customer base in the LAtam establishments.
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  Data Warehouse, Modeled data warehouse for BI as in Information Center to provide information/analysis to areas including Commercial and Customer Service.
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  Recommendation Engine, build a basic engine to recommend products to customers based on their online behavior, interests and history.
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  Customer Demography, analyzed the attributes of acquired customers mainly, age, sex and socio-economic background, and recommended point of targets.