-- Data-driven expert in the realm of Inventory, Pricing, and Fulfillment optimization. With a talented team of Data Scientists and Operations Research professionals, my team is dedicated to developing cutting-edge solutions that redefine efficiency and profitability. -- Leveraging data science, machine learning and advanced analytics, we uncover actionable insights to inform strategic decision-making and propel businesses forward.

-- Lead both Pricing Data Science and Customer Success Data teams for the North American practice, responsible for implementing and supporting Zilliant's pricing solutions. -- Led Zillian't growth in new industry verticals, including Commoditized products, Subscription and Monization products.-- Led the cloud migration of Zilliant SaaS solution by creating modular solutions for traditionally long run time monolithic solutions, that could plug and play, dramatically reducing contract to solution times.-- Redesigned solutions for large legacy accounts to reduce their solution run times from a few days to a few hours by leveraging newer fast algorithms and methods. -- Responsible for recruitment, training, mentoring, and professional development of data scientists; and enabling them to manage client engagement with minimal supervision. -- Collaborate closely with multiple functional stakeholders within the organization, including Sales, Services Management, Technical Architecture, and Customer Success. -- Design, Develop, and Implement machine learning models to client's business problems across industries, using a multitude of python libraries and other analytical techniques.-- Pre-production model reviews, felicitating sharing and adoption of modeling best practices across the data science team.

-- Led professional services data science team in the design, development, execution, and implementation of Zilliant’s North American pricing business. -- Analytical deep dives with customers to understand their business and pricing strategy; building pricing and machine learning models to fit client's business; and assessing benefit from the solution. -- Manage Zilliant Science team's resourcing, operations, and methodology adoption in the North American project team.-- Delivered on multimillion dollar pricing projects in new industry verticals, with customers realizing a few hundred basis points gain in revenue & profit.

-- Developing data driven pricing and profit/revenue optimization models for our clients across multiple business verticals.--Collaborate with clients project sponsors to analyze client data to identify pricing signals, create pricing strategy via intuitive and yet intelligent segmentation design, and calibrate product elasticity.-- Leverage optimization algorithms to generate pricing recommendation, subject to business objective constraints. --Collaborate with client business sponsors on price validation.

-- Quantitative modeling and pricing of credit derivatives and exotics for the Emerging Markets Credit Trading desk.-- Developed new Machine learning models for pricing bonds based on bond attributes and its market liquidity. -- Reviewed business pricing and performance with trading desk heads, market risk management, and global head of EM Credit Trading.-- Led the initiative to automate pricing and valuation of vanilla credit derivatives and cash instruments-- Owned team's pricing policy and led its implementation efforts; and coordinated with internal/external audit.

-- Lead quantitative modeling, pricing, and valuation analyst for LatAm credit trading desk (Flow and Structured).-- Perform independent portfolio and new deal valuations across various products and derivatives such as bonds, warrants, CDS, Credit indices, loans, CLN, TRS, swaps, inflation, quantos, Extinguishers, and other hybrid products and trade structures.-- Improved and streamlined the review and deep-dive analysis process of Level 3 inventory (hard-to-value positions, with unobservable inputs), bespoke and structured trades from quarterly to monthly basis (within BD3) by leveraging data science and machine learning models. -- Conduct monthly meetings with the trading desk heads, business managers, quantitative analysts, product controllers, and market risk managers to review the valuation methodologies and reserves; and communication of key valuation uncertainty issues and risks to senior management.-- Perform reviews to incorporate all relevant information to the valuation process including analysis of the transaction structure, the modeling and methodology adopted, available market data and/or any proxies considered appropriate, applicable reserves\valuation adjustments and any relevant regulatory, risk or accounting considerations.-- Implement new regulation driven valuation processes such as Prudent Valuation (PruVal), Fair Value Measurement (ASC/Topic 820).

-- Leveraged classification techniques to cluster 'similar' credit/debt instruments on creating a liquidity benchmark reports for regulatory reporting.-- Leveraged a multitude of data science techniques and machine learning models to build regression models for pricing illiquid credit curves. --Product manager for Markit Clearing platform for CDS and Credit Indices for ICE/LCH/JSCC.--Responsible for maintenance and enhancement of pricing algorithms for credit products.--Acquisition of input data for fixed income products (CDS, Credit Indices, Loans, and Bonds).

-- Pricing improvement initiatives including integration of multiple data sources to improve pricing algorithms for illiquid credits and convergence of Markit and Market prices for liquid CDS names.-- Building relationships with market participants and assisting the sales team on pitching Markit credit products to prospective clients. -- Collaborated with the product services group on creating the Business Process Map (BPM) for the global team in the credit products business line, resulting in reduced risk and improved efficiency.-- Quantifying the key risk and performance indicators for the credit products business and continually working on mitigating the risks.

--Pricing of credit products including Single Name CDS and CDX & iTraxx credit indices. --Enhanced pricing algorithms and methodologies to identify and exclude incorrect data inputs to prevent price miscalculation.--Worked with regression testing teams to ensure proper implementation of pricing methodologies and system upgrades in the production systems.--Lead analyst for Markit clearing operations in North America (price collection and settlement price calculations) for CCPs (ICE & LCH).--Addressed client issues pertaining to Markit products, ISDA standard model, Credit Event Auction Settlement and CDS market standardization (2014 ISDA Credit Derivatives Definitions).

- Conducted investment research on the diversification benefits of REITs in the portfolios of HNW clients.- Created VBA tools to monitor risk factor exposures and the tracking errors of the equity portfolios for risk management protocols.- Assisted the bond trader in analyzing Public Offering Statements and credit reports to identify various risk factors.- Created custom benchmarks and updated the internal databases for research and performance attribution purposes .

- Conducted review sessions and recitations for the capital markets and investment course.- Prepared sample solutions for the problem sets, graded exams and assisted the professor in course administration.