Akanksha Sinha

• Analyzed and Improved the Functions and Divisions filters on the dashboard.
• Optimized the People's and company's data mapping algorithm, which increased the accuracy of the data by 15% and helped businesses find their customer intent better.

• Owned the upgraded version of the product (ThriveWealth) to a new product (runrate.ai) to expand the product offerings.
• Responsible for product sprint plans, testing, release plans, launch, and product demos across teams, and framed the success metrics and set targets for achieving business goals. Worked with cross-functional teams - Engineering, Marketing, Strategy, Advisory to build and launch product features.
• Defined the roadmaps, PRDs, wireframes, and prototypes for building this new app, while improving the existing app by building features that helped the customers track all their investment portfolios, this addressed the 1200 customers
• Owned Marketing campaigns for features launched
• Performed root cause analysis and independently stood as a go-to person for any discrepancy that arose from the customer/advisory
• Tracked the efficiency to feed the insights back into the product development process to drive growth.

• Defined and implemented the company's first Environmental and Social governance risk scoring framework for the Investors as an Intern, and delivered an automated ESG model which correlated and classified external data with the internal (sales and collections) data at the PAN India level into different risk bands
• Point of contact for the HR Dashboard, in the centralized reporting team of the organization, responsible for handling Internal/External stakeholders for building a common platform to monitor key business trends and events through a storyboard
• Coordinated with National credit managers (stakeholders) across teams and geographies to build and implement analytics-based underwriting strategies for the credit scoring model
• Performed Independent deep-dive analysis on Products in Vehicle Finance w.r.t branches, to Identify the patterns, with the root cause and helped in implementing proactive solutions based on their geographic segmentation

Digital Datacenter - Product trend analysis

• Identified the KPIs and formulated the logic based on the business requirements
• Lead a team of data engineers on building a centralized periodic reporting system (Digital Data Center) for dashboarding the business reports with the real-time data, performing UAT and A/B testing with the stakeholders
• This helped the business in tracking and finding opportunities that directly improved and impacted business
• Automated the process of generating monthly sales and collections - portfolio analysis reports from Oracle & MongoDB on Excel VBA & Macros to a storyboard to generate insightful business reports

Environmental and Social Risk Governance - Framework

• Designed, developed, and implemented the first ESG framework for the Investors to help them monitor the quarterly ESG performance of Chola through a moving metric (risk index score)
• Identified the external events that affected the business and automated a model on R using NLP that would web-scrape the real-time data, correlate with the internal metrics, and classify it into High/Medium/Low-risk bands to monitor the effects of these factors on business and visualized it on Qlik sense

Credit scoring - Underwriting model

• Business context - The sales/collection team aimed at reducing the Net credit loss incurred by delinquent customers at an early stage
• Solution - Worked with National credit managers in developing functional and business requirements
• Optimized the existing model to generate a credit score to rate customers
• Assisted in automating the ETL process from MongoDB on R, implemented & validated these models
• Consumption - This has increased the operational efficiency, reduced cost, decreased the processing time to evaluate a customer, and significantly reduced the default cases.