ASWIN SREENIVAS

Mandate : Lead cross-functional projects leveraging business intelligence principles, data science techniques and business knowledge to discover insights that will deliver quantifiable business value along with aiding strategic decision making and optimization opportunities.

• Created tangible business value and thereby built a data science team of 6 members in a span of 3 years.
• Ideated, mentored and developed 11 upsell, cross-sell and event-based propensity models along with an optimization engine leveraging data science principles across Life, Health & General Insurance business improving the BAU conversion by 5X time generating 10Mil incremental WPI per year.
• Devised and implemented end to end upsell & cross sell engine along with go-to-market process, marrying data science outputs with actionable nudges for business to drive top line goals.
• Devised and executed a framework to identify customer households from customer base leveraging graph theory principles thereby creating quantifiable strategies to improve upsell and cross sell rate.
• Devised new measures and created Tableau dashboards across all lines of business thereby saving 5FTE headcount effort and enhancing the business decision making process.
• Developed multiple new measures including customer affluency scores (RFM, Income Predictor models etc.), life stage and affinity scores for sharper marketing and improving the accuracy of data science models.
• Spearheaded the development of analytics & data science strategy and operating model for Income aligning with organizational wide goals and objectives leveraging best practices from consulting experience.
• Advised and setup the data foundation, BI ecosystem and metrics for new business models viz. SNACK, Tribe etc.

Mandate: Propose integrated solutions that combine strategy, process and organization alignment using data analytics to address finance organization business problems; develop practical project approach to implement the solutions and obtain buy-in from stakeholders of the value that will be delivered with the proposed solutions.

• Showcased tangible business value to clients across APAC from developing and testing ML models for propensity, churn, claim outlier detection etc.
• Proposed and developed an automated spend categorization tool with text mining principles using R programming to provide spend visibility for FMCG industry, thereby creating ~300K potential savings for Accenture Zero Based Budgeting program.
• Analyzed indirect spend through key driver analysis , identified efficiency improvement opportunities, and set strategies to deliver ~10 Mil SGD through Zero Based Budgeting for a Global FMCG company.
• Led Business Case modelling on Finance Organization Transformation programs for multi-business conglomerates and FMCG/retail clients, created benchmarking views and presented ROI insights to the C-suite and senior management.
• Co-led business development as Tableau SME for Accenture and obtained two successful Business Intelligence implementation projects.

Mandate: Build a framework to derive the profit by each commodity, utilize predictive analytics to predict profit for key commodities to strategize existing business model and thereby demonstrate the value add from analytics.

• Provided business realignment recommendations that will potentially yield 1.6 Mil SGD incremental profit , based on predictive analytics and market research to C-suite of Jurong Port.
• Extracted and transformed data from various data sources using SQL & R to build a framework for Revenue and Cost attribution to derive profit/yield by each commodity.
• Developed a time-series predictive model using R programming utilizing techniques like ARIMA, Holt-Winters, Neural Network to predict the profit of key commodities for FY 15 with a MAPE of 5 percent.
• Created a profit analysis dashboard using Tableau to enable data-driven decision making for the stakeholder group.

Mandate : Analyze trade reconciliation data for managing financial risk to ensure the accuracy of Goldman Sachs books and records along with meeting Fed regulations.

• Led a team of four analysts to create financial risk models for capturing daily market exposure and risk from books & records data and estimate the financial risk impact on the redenomination of Greek currency.
• Co-developed a fully automated and weekly updated reconciliation KPI dashboard using MS Excel (VBA) and Access for the Senior Management that enabled adherence to SOX compliance and FED regulations.
• Performed root cause analysis on EMEA trade reconciliation breaks bringing in process improvement and risk reduction by reducing the daily reconciliation breaks by 15 percent .
• Key business user stakeholder involved in the end-to-end implementation of Global Reconciliation Tool, including functional requirement gathering, matching rule engine setup, UAT & deployment.

• Conduct market research, analyze market data to provide potential market acquisition opportunities, drive sales support and gather client business requirements for the production team to create customer-centric products and services.
• Conducted market research & competitor analysis, which enabled senior leadership to analyze potential market acquisition opportunities.
• Successfully developed industrial battery business in the solar sector and exceeded quarterly targets.