Akshara Kumar Email & Phone Number

California, United States

San Bruno, Ca, Us

Manager of Advanced Analytics for Walmart’s Marketplace Analytics team for 3rd party Seller Segment’s Post purchase Initiatives; Mainly focused on Reverse Logistics, Returns/Refunds, Cancellations, Disputes & Contacts.Focus: Data Analysis, Data Pipeline & Visualization, E-commerce, Product Experimentation, Pre & Post Measurements, StatisticsTools & Technologies: Google Analytics, BigQuery(SQL), Python, Tableau, Looker, ETL, Presto♦️ Team’s vision is to mitigate Returns, Cancellations, Disputes, Fraud; enhance customer trust in third-party sellers & improve seller experience for the global Walmart Marketplace.♦️ Handle huge volumes of data by leveraging tools like [SQL/BigQuery, Presto & Python] to build robust data pipelines & create holistic views on various performance metrics for 3P Segment (one of the fast-paced & growing segments of Walmart e-commerce Business)♦️ Build Data driven Self-serve Dashboards in [Looker & Tableau] & conduct various in-depth analyses to provide high level insights on all aspects of Customer’s post-purchase journey, to help Business & Product identify trends in weekly/monthly basis & take actions to mitigate grievances & redesign product features for future launches.♦️ Contribute to Weekly/Monthly Business reviews, conduct Deep dives & timely Ad-hoc analyses to explain the fluctuations in the data by utilizing business expertise in connecting various metrics & effective story telling capabilities.♦️ Work with complex data & provide actionable insights to help senior management & cross-functional teams to make informed decisions, measure success & drive Business. ♦️ Collaborate with Product, Business, Engineering, Data science & Analytics teams in building OKRs, roadmaps & Annual planning Initiatives, to help teams decode growth & risk factors of new & future product releases.♦️ Implement statistical techniques to validate & enhance the reliability of experimental results for Pre & Post Analyses for Product Launches.

Göteborg, Se

Product Analyst for Volvo Car's Global Online Experience platform across web & mobile [Focus: Conversion funnel, Product Development & Growth]Focus: Data Analysis, Data Pipeline & Visualization, Funnel Optimization, Product Experimentation [A/B, Multivariate & Hypothesis Testing], Causal Inference, StatisticsTools & Technologies: Google Analytics 4, BigQuery(SQL), Python, Tableau, Looker, Power BI (DAX & Power Query), Google Tag Manager, Google Optimize, LaunchDarkly, ETL, Snowflake Cloud, Salesforce♦️ Build 10+ Data driven Dashboards & conduct various in-depth analyses to provide high level insights on all aspects of the customers' online journey for various product launches & primarily focused on Conversions. [Tools: Looker | Power BI | Tableau | SQL | Python]♦️ Partner with Product, Engineering & UX teams to constantly identify blockers in Online Conversion funnel to help boost the Conversion Rates.♦️ Build robust SQL Data pipelines & visualizations to support “data stories” for leadership presentations & work with engineers to improve data collection & storage (GCP)♦️ Set up A/B & Multivariate test experiments to optimize digital experience on .com for driving customer adoption through new product development & feature improvements.♦️ Lead end to end execution of digital analytics in GTM & GA to measure the effectives of websites by enabling eCommerce, cross device & event tracking, dataLayer setup, tagging implementation, Data Quality in Dev & Prod ENV. Besides KPI creation & Ad-hoc research.♦️ Extract Customer feedbacks from Medallia for Volvo websites & provide analytics to gain insights on customer sentiments and collaborate with Product Managers to improve Satisfaction scores by 10%.♦️ Conducted comprehensive analyses in [SQL | Pandas] on user segmentation data through A/B tests, leading to identification of high-value segments for marketing efforts, Resulting in 5%+ increase in primary conversions & improvements in engagement on the US website.

Memphis, Tn, Us

Operations Research & Advanced Analytics for FedEx Freight, focused on Pilot & New Initiative Programs. Involved with FedEx Freight's [Financial Planning & Analysis] teamFocus: Forecasting, Data Mining & Visualization, Statistical Analysis, Data Pipeline Creation, ETL & Workflow AutomationTools & Technologies: MySQL, Python [Pandas], SAS EG, Alteryx, Informatica PC, Teradata, Tableau & Power BI♦️ Lead analyst of the core analytics team responsible for data infra-framework & analytics; supporting data flow, visualization & insights on complex LTL (Less-Than-Truckload) industry problems for 'FedEx Freight’s new initiative Programs'♦️ Visualized FedEx Freight's Hub & Spoke network model & forecasted the historical revenue generated by various channels to understand & set quarterly objectives for Fedex Freight's initiatives.♦️ Build complex SQL data pipelines to streamline huge volumes of data (supporting $1.2B monthly revenue) to generate solutions & constantly help improving operating margin %. ♦️ Develop ETL (Extract | Transform | Load) processes, design database models & sources for real-time & offline analytical processing to estimate production costs & track fluctuations on expenses.♦️ Conduct independent user research & answer questions on customer profiles, segmentations, channel integrations & shipping patterns by utilizing [SQL & Power BI]♦️ Perform functions such as Data cleaning, Synthesizing & Forecasting to help summarize data & produce deliverables that give comprehensive views on Freight's profitability, operational expenses & shipment trends across regions.♦️ Analyze weekly/monthly variances of actualized data against budget, forecast & present ad-hoc data analyses to upper management to support any revenue impacting strategic decisions & proposals.♦️ Lead the effort to significantly enhance FedEx Freight's costing network manager's computational performance & solution quality. Improved solution quality & computational speed by many folds.

New York, Us

Client: Google, Mountain View CA, USA Analytics Consultant providing data services, growth marketing strategy & data driven analytic solutions for Google's SMB (Small & Medium Business) Marketing Analytics TeamFocus: Data Analysis, Data Science, Data Mining & Visualization, Product Experimentation [A/B & Hypothesis Testing], Causal Inference, StatisticsTools & Tech: SQL(BigQuery), Python, Tableau, Looker, Google Tag Manager, Google Analytics♦️ Support Google's Mid Market (SMBs & 3P Acquisitions) Events team in building Marketing initiatives, recommendations on Accounts touch, Seasonality, Causal Impact & Revenue analyses.♦️ Create scalable SQL Data pipelines & perform in-depth analyses to accurately track & measure incremental impact from low sample marketing channels such as Events.♦️ Designed over 10+ decision driving dashboards, used by over 100+ Product Marketing Managers to show comprehensive details on 'Google Events' performances focusing on (Engagement, Revenue uplift, Adoption)♦️ Present actionable insights & data driven solutions for revenue pipeline analyses; Partner with Product & Business to set up quarterly roadmaps & OKRs.♦️ Feature engineer metrics, build data models to monitor QoQ & MoM revenue & engagement uplift %s for newly acquired SMB customers to measure campaign effectiveness.♦️ Generate targeted leads for A/B tests on 'Onboarding Events' via effective email campaigns to boost engagement & post-event revenue spent to observe a positive trend in notable metrics +10%♦️ Built a Propensity score model, whose scores were then used in A/B tests to identify the right sets of control groups for Causal Impact Analysis for events & observed 90/180d Pre & Post rev uplift +15%♦️ Created end to end Data infrastructure & Analytics for ‘Google Marketing Live (2019)’ event; Provided proposals & improvements on lead generation for upcoming flagship events.Highly ambiguous project with constantly changing requirements & disparate stakeholders

Mumbai, Maharashtra, In

Client: Allianz Care, Munich, GermanyCollaborated with senior leadership of one of the largest Health Insurance providers in UK to provide analytics on various Insurance Premium Plans' sales performances & solving business questions with DataFocus: Data Modeling, Data Visualization, Data Pipeline Creation, ETL & Advanced AnalyticsTools & Technologies: SAS EG, SAS Enterprise Miner, MySQL, Python/R, Informatica Power Center, Tableau & Business Objects♦️ Analyzed business trends in customer behavior, delivered actionable insights & designed retention strategies to mitigate the risks on the current account portfolio.♦️ Handled huge volumes of customer transnational data & supported building Logistic Regression models in SAS EM to find the appropriate sets of customers in generating leads for promotional offers.♦️ Implemented various analytical tools that support the enterprise & regional needs, Improved data collection & reporting strategies utilizing [SQL, Python & data extraction skills].♦️ Deployed ETL jobs [Informatica] to streamline data for monitoring & predicting client's purchasing trends & presented recommendations to senior leadership on the organization's health.♦️ Designed interactive dashboards in [Power BI] to measure sales & after-sales campaign effectiveness for Allianz Premium plans & provided recommendations on marketing initiatives.♦️ Analyzed customers' responsiveness to sales representatives' calls by performing text analytics on the call notes generated & provided analytics on frequent questions received.♦️ Optimized & fine tuned various complex SQL data pipelines & reduced the execution time down to 40%♦️ Collaborated with Data scientists to script a K-Means clustering algorithm to segment customers, which helped the client to identify the potential buyers that contribute towards their sales.♦️ Cleansed a huge dynamic dataset in SAS E-Miner, cleared discrepancies, synthesized & summarized the data to improve ML model performances.

Master Of Science - Ms, Management Information Systems, General

Bachelor Of Science - Bs, Information Technology