• Managed multiple business accounts for international technology and life sciences customers at Quation Solutions Private Limited.• Led strategic initiatives to drive business growth and enhance customer satisfaction through data analytics and insights.• Implemented data-driven solutions to optimize operations and improve decision-making processes.

Responsible for,• Solving Global Operations (GO) problems with sustainable data-driven solutions for business impact• People Management• Developing advanced analytics capabilities• Problem-solving leadership, work closely with GO functions & analytics SMEs to understand problems, size, scope & translate to predictive/prescriptive needs.• Run business diagnostics & POCs / Tests / Scenarios / Simulations / e2e data science life cycles as needed to help adoption and realize value from data• Build analytics solutions, deploy them & run continuous improvement programs to realize business benefits & superior UX, CX, cost, revenue, etc...• Experiment with emerging analytics techniques & technologies.• Collaborate / Educate / Influence / Train / Share knowledge from expertise, to peers, to users, or to executive leadership• Contribute to broader organizational goalsTalent leadership:• Own people management responsibilities; domain expertise & data/decision science expertise• Cultivate high performing & growth culture leveraging Convergytics values

• Interact with business stakeholders and leaders to gather & scope BI / Analytical requirements• Develop the analysis and share the insights/recommendations with business stakeholders through effective presentation• Actively engage in all business meetings & calls to provide support and look for business process improvement opportunities• Maintain excellent relationships with business stakeholders through regular meetings and reviews and look for work opportunities• Analyze and extract relevant information from business databases to help automate and optimize key processes• Establish scalable, efficient, automated processes for large scale data analyses, propensity model development, model validation, and model implementation• Research and implement novel machine learning and statistical approaches

• Segmentation and Targeting of physicians - Concentration Curve, Relative importance versus very high prescribing physicians, Deciles analysis, Segment estimation using generalized linear modeling (glm)• Resource Optimization/Call planning - through Market Analysis, Customer Targeting, and Territory Alignment phases• Patient Adherence analysis, LoT analysis, Product utilization analysis, Physician prescribing dynamics.• Individual patient-level Meta Data Analysis by comparing methods for the diverse populations collaboration data set• Territory Segmentation based on performance variable using Cluster Analysis, Dimension reduction by Factor Analysis, Identifying key differentiating factors by Discriminant Analysis• Therapy Area Overview – Specialty initiation, Dynamic and static segments, Patient regime and tree structure, Prescription importance of prescribers by specialty.• Commercial Actions – Identify brand performance levers, Monthly evolution of patients, new patient’s specialty share, and brand share.Dynamic Profiling and Targeting, Hospital Profiler and matching, Pharmacy Targeting, create a statement of business (SoB) of market and product.• Created a breast cancer risk estimation model based on the descriptors of the National Mammography Database using logistic regression

• Due diligence of transition from the onshore client. US healthcare market & competitive intelligence support, Sales Planning, and Competitive Performance analysis for selected therapeutic products promoted by the Sales Representatives.• Impact study of summer surge products by testing the statistical significance between control & experimental region and inferring throughout 3 years data. • Evaluate the impact of promotional campaigns - such as voucher programs and speaker conferences, analyze the results, provide recommendations to the sales team and calculate the return on investment (ROI) per $ spent.

• Define, Train, and Audit process engineers as per the scope of ITIL best practices. • Quality check of resolution delivered to clients with the random sampling method. • Measure performance analysis of technical engineers by MIS reporting and statistical summaries of Vital Management parameters.

• Data analysis using Minitab and Excel. • Descriptive Statistical analysis and concluding to support Remote Management Center.