SUMMARY:

10 years of experience with strong understanding of advanced analytics, machine learning, quantitative research, business intelligence, including risk management, identifying and implementing process improvement, cost saving opportunities and design corporate metrics/KPI. Experience solving analytical problems with applied statistics, machine learning, data mining, and data visualization. Able to design, build, verify and test predictive data models. Experience applying statistical modeling techniques to real world problems such as linear regression, logistic regression, neural networks, tree models, K - NN, SVM, Random Forest, Naïve Bayes, survival analysis, cluster analysis, principal components, feature creation and validation. Multitask and highly organized and able to prioritize deadlines in work intensive environments. Ability to handle difficult situations in a confident and diplomatic manner.

LANGUAGES/COMPUTER SKILLS:

Languages: Native French Speaking, fluent English

Computer skills: MS Word, MS Excel, MS Access, VBA, MS Visio, MS PowerPoint

Business Intelligence Tool: Oracle, Teradata, MS SQL server 2008, Visual Studio, SharePoint.

Data VisualizationTools: Tableau, Domo, Microstrategy, QlikView

Programming language: Python (NumPy, Pandas, SciPy, Matplotlib, Scikit-Learn…), D3.js, GGplot

Statistical modeling software: R, SPSS Modeler, Weka, MatLab

Big Data technologies: Hadoop, Spark, Hive, MongoDB, Cassandra, NoSQL

PROFESSIONAL EXPERIENCE:

Confidential, New York

Business Intelligence/Data Analyst

Responsibilities:

• Lead critical business intelligence and advanced analytics projects; develop and prepare daily, weekly and monthly reporting package with statistical highlights to ensure senior leaderships are provided accurate, comprehensible information that can be used to make business decisions.
• Conduct data quality review, cleaning, merging, and extraction from multiple large data sets.
• Ensure metrics, KPIs, reports and dashboards provide visibility into the operation of the business
• Design, implement and track KPI to measure performance against goals, SLAs and objectives
• Review/Analyze business processes to identify key issues, trends, and potential root causes that point to improvement opportunities and provide insights about the drivers of performance.
• Develop, design and maintain executive level dashboards, highlight trends and visualization with Tableau
• Develop forecasting volume for different services and capacity models to optimize staff level.
• Performs complex analysis on data science applications including data mining, predictive analytics
• Building predictive models and decision tools to address business needs by leveraging machine learning and statistical algorithms to gain actionable insights, Interpret results and make recommendations to reduce expense and maximize operational efficiency

Confidential

Business Performance & Reporting Data Analyst

Responsibilities:

• Create and maintain reports summarizing sales, labor, inventory, and other business data
• Collaborate with team to identify new solutions for creating an optimal analytical layer across all organizational data, working to eliminate silos and improve quality and frequency of data Partner with key business stakeholders to understand current and future needs to develop an enterprise wide business intelligence strategy, with ultimate responsibly for all aspects of corporate reporting:
• Design, develop and deploy data driven predictive models (to enhance targeting, increase revenue, generate cost savings and allocate resources more efficiently) to solve business problems using the most appropriate techniques in data mining, machine learning, and statistical modeling conduct analysis of historical patterns in customer behavior and product performance
• Implement statistical models optimize business processes, and continuously identify new opportunities to leverage analytics product operations and develop new revenue drivers and cost savings.
• Interprets problems and provide solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics
• Develop visual intelligence tools and executive dashboards for monitoring business performance.
• Proactively identify areas of business needs analysis and anticipates clients' future and ongoing needs.

Confidential

Business Intelligence Reporting Analyst/ Manager

Responsibilities:

• Collaborate with cross departmental teams to develop a comprehensive understanding of the key drivers
• Proactively identify areas of the business that need analysis, and anticipate future and ongoing needs.
• Conduct data quality review, cleaning, merging, and extraction from multiple large data sets.
• Ensure metrics, KPIs, reports and dashboards provide visibility into the health of the business
• Track performance and closely monitor KPI’s; highlight performance, trends, issues and changes
• Analyze industry events (sales, fare changes) and booking activity, and industry research
• Identified critical factors causing operational and financial under-performance to return to profitability Prepare analyses and reports on key trends and issues impacting the industry and the organization.
• Identify high impact business problems and develop viable solutions thru data analytics and modeling.
• Conducting complex analytic activities that will be used to drive revenue growth, enhance the customer experience, improve performance, create business efficiencies, monitor business key indicators, refine and manage forecasting, identify trends, and more.

Confidential

Business Intelligence and Analytics

Responsibilities:

• Rotational assignments in a variety of Business intelligence and Analytics functions including Project Management, Sales and Marketing, Data Mining, Strategy, Pricing, Forecasting, Predictive modeling, Business intelligence, Reporting and Analytics. The rotation ended in a manager level position in the above function.
• Developed and prepared monthly reporting package with statistical highlights to ensure senior leadership is provided accurate, comprehensible information that can be used to make business decisions.
• Developed visual intelligence tools and executive dashboards for monitoring business performance.
• Conducted data quality review, cleaning, merging, and extraction from multiple large data sets; Performed analysis design involving data mining and predictive modeling with ML algorithms
• Provided reporting and analytics support to operations, marketing and other functions
• Monitored macro changes within the airline and online travel agency; summarize and highlight key changes; Monitored performance against established targets and highlight trends and changes;
• Worked with Marketing to position and promote the products on performance and consumer behavior
• Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management; Support general projects and analysis as needed.