Nov 2022 – Sep 2025 · 2 yrs 10 mos · Tokyo, Japan

Jan 2022 – Nov 2022 · 10 mos · Tokyo, Japan

• As an Associate Consultant, I help lead the Customer-Centric Marketing practice area at ZS Tokyo Office and manage analytical projects to help our clients provide a unique customer experience to their customers through omnichannel marketing.
• With this role, my responsibilities have shifted from project implementation to management, and my tasks include:
• Manage a team of 7-10 people from Japan and India Offices for smooth execution of projects within agreed timelines
• Identify risk factors, proactively inform stakeholders, and design mitigation plans
• Conduct due diligence ensuring project deliverables are accurate, straightforward, and actionable
• Be the point of contact with clients for conveying complex analysis results in a digestible manner
• Mentor + support junior team members focusing on their learning trajectory and work-life balance
• We use advanced statistical models to solve the business problems of our clients while ensuring we engage with our clients on a regular basis and incorporate business feedback into the model. We always value simplicity, operationality, and explainability when it comes to model development and ensure that the model outcomes are implemented in the field in order to generate impact.

Mar 2020 – Dec 2021 · 1 yr 9 mos · Tokyo, Japan

• Associate is an entry-level consulting position at ZS responsible for conducting analysis in order to solve the business needs of our multinational clients.
• In this role, I have accumulated extensive data science & marketing experience as a member of the Customer-Centric Marketing Team that focuses on providing a seamless customer experience via omnichannel marketing.
• In particular, I have worked on analytical projects as below using robust statistical models:
• ・Marketing effectiveness evaluation (ROI)
• ・Marketing resource allocation (Touchpoint optimization)
• ・Promotion response analysis
• ・Customer engagement analysis and improvement
• ・Next Best Action engine for providing marketing recommendations to sales reps
• ・Digital maturity evaluation and marketing DX vision & roadmap creation
• ・Channel preference segmentation using k-means clustering and collaborative filtering
• ・Educational activity mix for improving customer awareness
• ・Competitor brand launch impact analysis
• ・Sales prediction using deep learning
• I have worked with the below machine learning models to solve the business problems of our clients:
• ・Basic models (Linear Regression, Logistic Regression, Support Vector Machine, Naive Bayes)
• ・Intermediate models (Decision Trees, Random Forests)
• ・Advanced models (Neural network, XGBoost, LighGBM)
• ・Unsupervised learning models (PCA, K-Means Clustering, K-Nearest Neighbors, Singular Value Decomposition)
• Problems I have worked on include:
• ・Regression
• ・Classification
• ・Time Series Forecasting
• ・Image processing
• ・NLP
• As a member of a client-facing office (Tokyo), I helped identify the right approach for solving the business question and developed a solution together with India Team. During model development, I interact frequently with our clients in order to get their critical feedback and ensure that they are reflected in the solution.

Apr 2019 – Mar 2020 · 11 mos · Kyoto, Japan

• I belonged to Intelligent Transport Systems Laboratory doing research in collaboration with Hitachi Lab at Kyoto University. A year of work has culminated in my graduation thesis: Origin-destination matrix estimation by deep learning using maps.

Sep 2018 – Sep 2018 · 0 mo · Naruohama Research Center - 鳴尾浜研究所

• In this internship for 2 weeks, me and my colleagues developed a model, performed an experiment, collected and analyzed the data, and did a final presentation on our findings.