Summary
Overview
Work History
Education
Skills
Timeline
Generic

Ruchika Grover

NCR

Summary

Dynamic Product Manager with a proven track record of leveraging agile methodologies and machine learning to enhance product strategies. Successfully drove a project that improved customer engagement and search accuracy, while excelling in stakeholder management and data analysis. Proficient in technical skills and passionate about delivering impactful solutions.

Overview

15
15
years of professional experience

Work History

Product Manager

Accenture Consulting
NCR
06.2021 - Current
  • Product Attribute Enrichment: Developed a product strategy and roadmap to drive the product's vision, collaborated with different teams, and led the agile development of a product attribute classification product for the U.S. e-commerce retailer. Managed the product backlog, defining user stories and acceptance criteria for each sprint, focusing on the 25+ categories requiring attribute prediction. Worked with development teams to incorporate client feedback, refine AI models, and integrate them effectively. Collaborated with stakeholders to prioritize features and ensure alignment with business objectives. The project, utilizing a hybrid Classical and Generative AI approach, resulted in quantifiable improvements in customer engagement, search accuracy, sales, click-through rates, and operational cost reduction.
  • Campaign Effectiveness: Analyzed real-time POS and customer data to understand the effectiveness of the campaign, provided insights for taking informed decisions, and helped in pre-planning for future promotions. Lead and drove client interactions for providing recommendations on price optimisation. Collaborating with different teams and stakeholders to design the road maps and understand the road blocks and reach out to concerned teams to find a solution. Building robust model and improving model performance by using advanced machine learning techniques. Creating multiple reports to show performance effectiveness of a campaign/promotion and a product. Techniques used: Hypotheses testing. , Exploratory data analysis, Customer Segmentation, Site Segmentation
  • Shrinkage ,Loss and Theft Analytics: Retail Store POS Anomaly detection by identifying anomalous barcode detection and price mismatch Take proactive measures to prevent irregularities caused by barcode scanning error by identifying disparities between scanned and actual barcodes. Promptly trigger an alert when a mismatch is detected. Real time identification of scanned items at POS counter through video footages. Conduct a thorough comparison between the scanned barcode / price and the expected barcode / price. Flag an anomaly if a mismatch is identified Immediately notify both the retailer and the customer to address the issue.
  • Migration Project: Lead the migration of processes, data marts, and reports from QS to PBI, from one platform to the client’s platform for one of the retail clients, using different tools like ADO, AWS, and Redshift to migrate multiple data marts by following best practices to deliver the project. Highlighting the risks and impacts of multiple roadblocks that arose while working on the project, and providing solutions to overcome the challenges. Lead UAT sessions for business reviews and structural changes for report/structure sign-offs. Acted as a project lead to highlight the risks, perform impact analysis, and provide alternate solutions to problems fitting the platform standards.

Senior Consultant

Inductis (EXL Service)
10.2020 - 06.2021
  • Claim Complexity Classification: Build and develop ML model to classify claims into high, medium, low complexity to help client decide number of claims to be handled by the adjudicator, and no of claims to be handled automatically.
  • Providing data-driven, action-oriented solutions to business problems through machine learning techniques, and key insights on various factors to optimize costs.
  • Building a robust model and improving model performance by using advanced machine learning, feature engineering techniques.
  • Techniques used: Cluster Analysis, Exploratory Data Analysis, Testing of Hypothesis, KNN, XGBoost Model, Variable Reduction Technique.

Manager Membership Analytics

Walmart India Pvt Ltd
06.2018 - 10.2020
  • Monitor and interpret regular report results to identify business opportunities, leading indicator of risks and advise leadership team those risks and opportunities.
  • Provide necessary implementation of analytics support on key business projects and initiatives.
  • Mentor team to deliver timely and high-quality analysis providing insights and recommended actions to drive program scale, efficiency, and effectiveness.
  • Gather complex data inputs from multiple sources. Identify new data sources that will enhance business outcomes and support strategic and tactical objectives.
  • Provide insight and guidance to leadership on the trends and drivers behind the results and prepare reports on findings
  • Identify and communicate key insights to leadership team based on reports and analysis.
  • Work cross functionally in order to proactively and systematically identify and implement any enhancements to reporting and analytics processes.
  • Performing root cause analysis to understand the reason of decrease in sales/sign ups and how member penetration/basket penetration can be increased.
  • Clustering members basis their buying behaviour and providing promotional schemes.
  • Identify short term initiatives and programs to execute through discussions and alignment with senior management and store teams, coordinate cross functionally to plan the execution Post launch performance tracking and monitoring.
  • Achievements/Tasks

Lead Analyst

Aon India Service Ltd
01.2010 - 06.2018
  • Churn Propensity: Applying Predictive analytical, forecasting technique to build a capacity management system, based on forward-looking trends, which provides proactive alerts to leadership on capacity planning, analysis & management. (Techniques used: Logistic Regression, Time Series Forecasting, k Means Clustering etc)
  • Mentor team members and guide new joiners § Creating Tableau dashboards with meaningful insights to the end user: clients or leadership
  • Customer Satisfaction Survey Analysis: Used statistical methods are used to identify the behaviour of clients, the developmental areas/factors affecting the Satisfaction of clients. Predicting the satisfaction score of clients, PCA used for variable reduction and logistic regression to predict satisfaction score
  • Capacity Management Tool: Forecast resources required to manage monthly/daily deliverables of different teams in the organisation § Analyse factors influencing the demand/hours spent in different months. Looking at the trend or any seasonality in the data. Descriptive Statistics to decide the baseline for clients § Forecast resource requirement to achieve TAT with the desired quality

Education

M. Sc. - Operational Research

Hans Raj College, Delhi University
01.2009

B.A. (Hons) - Mathematics

Miranda House College, Delhi University
01.2007

Skills

  • Product management
  • Agile
  • Product owner
  • Scrum
  • User story creation
  • Stakeholder management
  • Project management
  • Machine learning
  • Data science
  • Generative AI
  • SQL
  • Python
  • R
  • AWS Glue/S3
  • Sagemaker
  • Tableau
  • Power BI

Timeline

Product Manager

Accenture Consulting
06.2021 - Current

Senior Consultant

Inductis (EXL Service)
10.2020 - 06.2021

Manager Membership Analytics

Walmart India Pvt Ltd
06.2018 - 10.2020

Lead Analyst

Aon India Service Ltd
01.2010 - 06.2018

M. Sc. - Operational Research

Hans Raj College, Delhi University

B.A. (Hons) - Mathematics

Miranda House College, Delhi University

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Ruchika Grover