Suchitra Rajkumar

Experience

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  Mu Sigma Inc.

  Jul 2015 - Nov 2018

  Catered to a major Online Search Advertising client providing analytical services and solutions to various stakeholders of the search advertising Business1. User Behavior Analysis Carried out User Behavior Analysis for the largest ecommerce by studying the user preferences and purchase behavior which enabled in creating actionable insights and findings report on how Ads can be better targeted2. Click Share Investigation Investigated the shift in Click Share by performing brand vs non-brand uplift for customers from different verticals and understand the impact thus helping the Insights Team target such customers and offer better services to them3. Competitive Analysis Helped the search advertising industry in solving SEM problems in the competitive landscape to support marketing strategies and improve marketplace performance of Online Search Engine4. Campaign Analysis Analyzed PPC Ad campaign performance across multiple Ad platforms to device efficient advertising campaigns5. Ad Effectiveness Study Analyzing extent of ad feature adoption, ad layout changes, advertiser vertical concentration and customer churn to address various demand, supply & ad platform related issues6. Ad-hoc Requests Collaborated with business users and vendors of cross functional teams to gather requirements for adhoc requests and reports7. Quality Performed regular quality checks and testing for all projects to ensure data integrity and accuracy Show less Worked for a leading US based Home Improvement Retailer and collaborated with their in-store operations team, provided value in the space of analyzing associate performance and customer insights.Highlights of the experience: 1. Inventory Cycle Count Building of a continuous cycle counting recommendation framework assisted by strong business knowledge to help stores reduce shrinkage and drive inventory replenishment of articles 2. Voice of Customer Analysis of customer feedback across different stores and recommending prioritization of in-store services depending upon store geography, customer mix and assortment of products within the store 3. Operations dashboard • Building of a multivariate regression model to identify store controllable drivers (or KPIs) affecting store performance across different business objectives • Calculation of the thresholds for the significant drivers by analyzing their frequency distributions and reporting the exceptions at a store-level • Developing a weekly VBA dashboard supported by MS-Access & shell scripting for usage by Store & District managers to compare the performance of significant drivers across different districts, stores or product categories4. Optimal working hour calculation Analyzed and calculated the number of Full time and Part time associates required for the store and provided the optimum working hours required for each associate Besides these I also had an opportunity to work with the innovation and development team in Mu Sigma as a front-end developer and was engaged in developing Business Intelligence Dashboards using D3 and JS. Show less

  • Decision Scientist

    Feb 2017 - Nov 2018

  • Trainee Decision Scientist

    Jul 2015 - Feb 2017
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  Quantzig

  Nov 2018 - Jan 2019

  Senior Data Scientist

  Mentorship & Leadership: Mentored a team of 3 Business Analysts, fostering professional growth and knowledge-sharing. Led the team in collaborative problem-solving sessions by engaging with customers to define and refine problem statements, ensuring alignment with business objectives.Freight Optimization: Successfully executed a pilot project in the pharmaceutical supply chain domain. Analyzed data comprehensively to uncover actionable insights that informed key decision-making. Designed and developed a Power BI dashboard that empowered the operations team with real-time, data-driven decision-making capabilities. Tools and technologies used: Power BI, Python.Process Improvement: Identified inefficiencies in the supply chain processes and proposed enhancements, leading to measurable improvements in operational efficiency and cost savings.Data-Driven Solutions: Conducted in-depth data analysis to uncover trends, outliers, and root causes. Collaborated with cross-functional teams to translate insights into actionable strategies that resolved customer pain points.Stakeholder Collaboration: Partnered closely with internal and external stakeholders to ensure project deliverables met requirements and exceeded expectations, fostering trust and long-term relationships.Technical Expertise: Applied advanced analytical techniques and leveraged tools like Python for automation, predictive modeling, and data visualization to support data-driven decisions. Show less

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  Mindtree

  Feb 2020 - Sept 2022

  Module Lead

  -Spearheaded projects with Microsoft Bing Ads Analytics, leading a 3-member team to deliver impactful, high-quality insights and solutions.-Designed a Power BI dashboard to analyze the effects of COVID-19 on the search advertising marketplace, providing actionable insights for strategic decision-making.-Conducted cohort analysis and A/B testing to understand customer preferences across operating systems, enabling data-driven optimizations.-Developed query vertical segmentation methods, classifying search queries into six levels, enhancing the analytical depth of user behavior studies.-Led traffic quality score monitoring to assess ad unit performance, identifying actionable improvements for publishers and advertisers.-Executed Google Compete Analysis, showcasing the impact of search advertising on brand awareness and user journey through statistical testing.-Conducted competitive intelligence studies, leveraging web scraping and URL decoding to track Google’s supply, demand, ads, and features.-Skilled in Power BI, Python, SQL, and advanced analytics, transforming complex data into strategic insights for decision-making. Show less

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  Target

  Sept 2022 - Jul 2024

  Senior Fulfilment Optimisation Manager

  Fulfillment Optimization Leadership:-Managed cross-functional teams and stakeholders, driving efficiency and enhancing quality through data-driven strategies.-Focused on ideation, thought leadership, and execution to optimize Target's Fulfillment Centers and inventory management.Best Use of Inventory in Target Fulfillment Centers:-Collaborated with the Product team to strategically reserve specific items, deprioritizing single-line orders in Fulfillment Centers. This optimization resulted in $14 million annual savings in shipping costs.Improved consolidation opportunities for multiline orders, reducing inventory depletion and minimizing -Out of Stock occurrences.Conducted experimental and control group tests, applying the Difference-in-Differences (DID) method for pre-and post-test analysis, achieving a 10% average lift.Demand Disaggregation for Target Deal Days Project:-Designed and implemented a demand disaggregation strategy to optimize item allocation across locations during Target Deal Days.-Conducted in-depth demand analysis, leveraging the Euclidean distance method to assign items to the most suitable stores, using tools like Python, Excel, SQL, and API calls.Strategic Excess Package Reduction:-Spearheaded initiatives to reduce excess packages per order by identifying and resolving inefficiencies.-Conducted Root Cause Analyses (RCAs) and curated studies to uncover and address drivers of excess packaging.-Presented findings and strategic recommendations in high-stakes forums like Weekly Business Reviews (WBRs) to foster continuous improvement.Defect Bridge Enhancement:-Developed and implemented a logic framework to incorporate defects from sortation center facilities into the existing Excess Package Defect Bridge.-Led the end-to-end execution of this initiative, enhancing defect tracking and improving operational insights. Show less