PROFILE:

• To obtain a leadership role in the field of data and analytics.
• 17+ Years of Experience in recommending and implementing innovative data driven products and services across organizations to achieve hundreds of millions of dollars in benefits
• 12+ Years of Leadership in managing high performing teams in the areas of analytics, business intelligence, data science, data management and governance, product design, and devops. Built teams in fortune 500 as well as startup environments.
• Data Management and Advanced Analytics Expertise with applications in various business areas such as strategy, financial risk, pricing, supply chain, sales, marketing, digital, and client operations.
• Project Manager with proficiency in identifying opportunities, designing roadmaps, and executing multimillion - dollar digital transformations collaborating with executive management, business stakeholders, IT, and analytical vendors across inhouse and cloud platforms.
• Published author in INFORMS Journal on Computing, Winter Simulation Conference.

TECHNICAL SKILLS:

BI: Tableau, Power BI, Excel Power Pivots, SSRS, SSAS, Tabular, Tableau Server, Power BI Server

Database/SQL: Redshift, SQL Server (DW/SSIS/SSDT), Postgres, Teradata, Oracle, Sybase, Access, MySql

Algorithms: Time Series Modeling, Regression, Random Forest, Gradient Boosting, Neural Net, K-Means, RFM, CLV, Choice Model, NLP, Linear Programming, Simulation, Hypothesis Testing & Measurement

Data Science Modeling: Python, SAS Stat/ETS/ Enterprise Miner, R, Keras, Tensorflow, Spark

Optimization Engines: Fico Xpress, Cplex, Excel Solver

Cloud Data Platform: AWS (DMS, ECS, Data Lake Formation, EMR, Glue, Athena, SageMaker), Azure (Data Factory,Data Catalog, Data Lake, ML Studio), Data Bricks, Airflow, Stitch, Segment

Programming: Python, Excel Macro, Java, C, Fortran, Unix Shell Scripting, Windows PowerShell Scripting

App Development: Django, React, BootStrap, Github, Docker, APIs, Postman, VSCode, ASP.Net

Process: Microsoft Project, Microsoft Visio, SDLC, Waterfall, Agile, OKR, 6-Sigma,Lean

PROFESSIONAL EXPERIENCE:

Data Consultant

Confidential

Responsibilities:

• Working with Hillsborough County, Tampa to design best practices for cloud-based data catalog, data governance, metadata management policies and data integration standards to support data discovery, analysis, and science.
• Evaluating Azure, Collibra, Alation, Informatica data catalog tools. Setting up self-service analytics process and standards using Power BI to utilize data assets.
• Setting up data management and AI for SaaS using healthcare Fhir database, NPI and payer databases.

Head of Data and Analytics

Confidential, Orlando, FL

Responsibilities:

• Created data roadmap and built a centralized data team of 10+ including architects, analysts, and scientists.
• Designed new scalable data platform, ETL process and product integration in AWS.
• Collected data from internal and external resources such as Salesforce, Experian by using APIs and migration tools.
• Defined centralized KPIs, segmentations.
• Built centralized Tableau BI and analytics function across sales/marketing, risk (underwriting, credit, portfolio, verification), client service.
• Designed invoice verification and collections engine using AI/ML algorithms to reduce risk and improve operational efficiency on payment products.
• Built credit engine to automatically approve credit decisions across portfolio.
• Created opportunity segmentation and invoice selection algorithm for new supply chain finance product used for cashflow management.

Director Data Science & Operations Research

Confidential, Estero, FL

Responsibilities:

• Started and built a new data science & operations research team under revenue management and fleet.
• Built data and analytics foundation and recommended various strategies to assist in turning around Confidential.
• Managed external analytical & AI vendors to roll out next gen forecasting, revenue management and fleet optimization solutions.
• Completed data collection and cleaning from multiple internal and external data sources. Leaded the data governance initiative and built new centralized datawarehouse for analysis and reporting.
• Designed and setup a new inhouse big data analytical infrastructure to administer 45+ analytical users.
• Worked with IT in designing next gen hybrid inhouse/cloud big data infrastructure using Azure.
• Designed and developed new performance management matrix, centralized Power pivots, Tableau reporting and alert management for 200+ users.
• Recommended various pricing and fleet strategies to turn around oneway, and retail business segments to gain estimated 100+ mil$ revenue benefits.
• Built nonlinear price choice model using Python to recommend price in complex competitive environment.
• Designed ML Forecaster to predict demand/supply, price, and competitor response by using billions of competitors pricing and millions of inventory availability data points.

Sr. Manager Analytics & Operations Research

Confidential, Parsippany, NJ

Responsibilities:

• Recommended and project managed multimillion-dollar data science and operations research product development and digital transformations following IT standards to support global organization.
• Responsible for enhancement and analytics support of Yield Management and Resource Optimization system with 20+ global team.
• Leaded integration of Payless brand across various decision support systems during expansion of the brand from 15 to 100+ locations.
• Designed new CRM and marketing analytics environment by developing customer segmentation, customer lifetime value models.
• Implemented customer propensity predictive models to purchase high margin products such as insurances and designed model deployment framework into digital as well as counter sales channels to improve sales by estimated 20+%.
• Initiated, recommended, and implemented Supply Chain Network Optimization System to recommend one-way prices to reduce trucking costs in the transportation network to make estimated 50-100+ mil$ incremental oneway revenue in two years.

Manager Decision Technology

Confidential, Parsippany, NJ

Responsibilities:

• Leaded a team to provide day to day reporting, strategy analysis, prototyping and rollout of various decision support tools and processes working with executive management, business users, vendors, analytical resources, and IT to support global organization.
• Responsible for product management of pricing and competitive intelligence.
• Leaded 4 yearlong cross functional global pricing transformation project to transition manual pricing management of thousands of data points to dynamic automated pricing of millions of data points to gain competitive advantage.
• Rewarded with customer-led annual Global Outstanding Achievement Award (2011) for innovation and successful change management resulting estimated 50-150 mil$ incremental ebitda per year.
• Project managed and rolled out many tactical as well as strategic initiatives such as value brand acquisition, international customer growth, local market expansion, specialty car initiative, demand/fleet/pricing revamp, website conversion analysis (Omniture), digital performance monitoring tool, supply acquisition and auction optimization, marginal fleet cost evaluator, automobile residual value modeling resulting in millions of dollars of benefits.

Sr. Operations Research Analyst

Confidential, Parsippany, NJ

Responsibilities:

• Recommended and designed Incremental Fleet Evaluator tool to conduct sensitivity analysis and to evaluate “what-if” scenarios for executive management.
• Leaded development of Yield Management diagnostic system to investigate accuracy of various legacy forecasting and data conditioning methods and their effect on the model recommendations.