Amrita Das

Roles and Responsibilities —

• Business Acumen: Understanding various business problems in the field of Customer Experience and HW/SW Quality.
• ROI-driven thinking, developing and implementing possible solutions using high-quality analytical techniques and advanced visualizations.
• Experience working closely with product managers to shape data science work into real features or decisions.
• Project Leadership - Leading cross-functional teams, roadmap planning, prioritization, client/stakeholder management, managing deliveries, monitoring team performance.
• Mentorship - As a data SME, well-versed in various Juniper data and data sources, supporting and upskilling junior data scientists, code reviews, knowledge sharing, and team building.
• Communication - Explaining complex models and insights to non-technical stakeholders, creating compelling and crisp decks and dashboards.

Key Projects -

• Developed a powerful NLP ML algorithm on topic modeling of customer care data in Python to streamline customer routing, ensuring efficient issue resolution.
• Analyzed global and customer-level MTBF and RMA metrics, with detailed visualizations, to identify high-risk customers using advanced statistical methods.
• Standardized and automated two processes in Python for performance monitoring of software releases, and to identify customers in need of software upgrades based on key metrics.

Key Projects -

• Developed an algorithm for Customer Sentiment Analysis and Topic Modelling to identify customer D-SAT metrics and top 5 customer concerns. using NLP and ML techniques in Python and R.
• Worked on Market Mix Modelling to determine contribution of different media channels & improve business performance using Regression analysis in R and MS-Excel.
• Based on historical data forecasted demand revenues for next 2 years using time series forecasting in R and MS-Excel.
• Predicted hard drive failures from sense key error using R,MS-Excel and Hadoop.
• Learned and implemented RPA(Automation Anywhere) to automate email sending process to customers to expedite FCC(first customer contact).

Key Projects-

• Developed a Subrogation Propensity Model for an auto insurer using logistic regression and statistical analysis in R and Excel to predict the likelihood of claims going to subrogation.
• Built dashboards to track Avastin, Rituxan, and Tamiflu sales, analyzing patient behavior, top prescribers and payer profiles to support market research and pipeline product launches for a leading US biopharma firm using SAS and MS-Excel.

Key Projects -

• Developed a logistic regression model on HR data to predict attritions for a renowned IT & Healthcare Service Provider.
• Identified optimal discount percentages for various apparel types for a major lifestyle brand using predictive modelling.

Key Projects -

• Estimated universe with proper sample design and sampling techniques for an international tobacco manufacturer brand.
• Developed a regression model to predict the sales of beer and beverages in the big retail chains for a leading beer brand.