• Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.• Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.• Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.• Recruit, train, develop and supervise analyst-level employees.• Ensure accuracy of data and deliverables of reporting employees• Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.• Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.• Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.• Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.• Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.• Identify business opportunities and ensure customer satisfaction.

• Formulate business problem to Analytics (Statistical/Machine Learning) problem on various use cases• Design experiments (project lifecycle) and build actionable models to optimize business processes• Responsible for the Data Science assignments such as predictive modeling for cognitive product development for IBM• Work closely with internal business teams, product managers, engineering teams and align them with respect to my focus area• Machine Learning Algorithms development and experiments on various problems• Data pre-processing, feature extraction and feature engineering and data visualization• Identifies the right set of models and develops the right code / package to execute them• Assisting on Model Deployment on Cloud• Evaluates the validity of the model (both scientifically as well as from a business perspective• Create Dashboard and create story on the analysis.• Draw relevant inferences and insights from data.• Preparing Adhoc Reports as per requirement and create executive presentation.• Work on PoC for the Clients• Use of different AI based Cognitive APIs into analysis (Watson and external APIs etc.)• Support the Data Science Team Lead in design and execution of analytics projects• Provide mentorship and training, share expertise to other team members

• Analyze Survey Data and prepare reports with various statistical outputs.• Creating, extracting and manipulating data used for strategic business analysis and reporting.• Performing Statistical Modelling.• Built Adhoc Reports• Analyzing the segregated data and preparing a report.• Building Organizational Hierarchy for adhoc analysis

• Data extraction from various sources• Create the reports as per the client request• Doing the Market Research on FMCG products