A

Aishwarya Joshi

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Seattle, Washington, United States
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Jobs verified_user 0% verified
  • Commure
    Business Analyst
    Commure
    Nov 2024 - May 2025 (7 months)
    Worked in operations for the claim lifecycle process, which encompasses the processfroma patient booking appointments [generated as encounters on Insights after claim submissions to claims bucketed under denials and rejections], targeting a successful approval rate and uniformquarterly collections. • Reduced claim processing delays by 2.5% WoW, driving $120K in monthly profit by building tracking dashboards in Retool, centralizing knowledge in Notion, and streamlining cross-team coordination to align with quarterly business goals • Worked with Jira to manage tasks, track bugs, and monitor project progress, and used Confluence for documenting requirements, meeting notes, and team collaboration throughout the project lifecycle • Applied ag
  • Flip
    Data Analyst
    Flip
    Mar 2024 - Aug 2024 (6 months)
    Led initiatives in e-commerce drop shipping business model operations, setting afocus on product, analytics, and strategy. • Developed a comprehensive Google Site for employees onboard, which covered all elements of Magic OS • Created a starter template using Whimsical and Confluence to bucket recurring bugs which can be resolved, and the ones which would need to be included in sprint cycles / better sense into categorizing Jira tickets of High, Medium, and Low priorities using JQL • Utilized SQL queries from Snowflake, dbt, and Looker visuals to spearhead the development and launch of a 'Deals' creation tool, partnering with engineering to replace manual CSV uploads—boosting brand adoption by 30% and streamlining deal creation • Optimi
  • Cepheid
    Global Supply Chain Data Analyst
    Cepheid
    May 2023 - Aug 2023 (4 months)
    Spearheaded enhancements in the material requirement planning team to uphold metrics and increase operational efficiency of logistics processes • Performed ABC analysis of current stock in Excel, adhering to Danaher business standards, enabling Kanban card resizing via Danaher's costing framework and improving inventory turn ratio by 20%. • Applied Lean Six Sigma principles by leveraging SAP shortcuts to monitor materials nearing expiry and reorder points, synchronized with Power BI dashboards to minimize waste and optimize inventory turns. • Employed Agile methodologies across GSCM departments to map and decompose the labeling process for reagents and beads, supporting the end-to-end development of cartridges.
  • Cleartax
    Data Analyst
    Cleartax
    May 2021 - Jun 2022 (1 year 2 months)
    Employed techniquesfor maintaining product metrics and mapped out processflowsfor business stakeholders Project 1: System for documents that are needed for tax purposes • Applied advanced SQL to monitor WoW ingestion metrics (P90/P50/P10) and deep-dived into system failure logs to identify incomplete steps,optimizing file upload and parsing processes, reducing downtime and improving experience for ClearTax's Enterprise and SME users • Customer dropoff analysis using Google Sheets and Whimsical to prioritize feature implementation and operational enhancements, feature request implementations, monitoring success rate of the user journey from when a customer clicks to upload files to reaching the confirmation page, will also account for clic
Education verified_user 0% verified
  • University of Southern California
    MS
    University of Southern California
    Aug 2022 - May 2024 (1 year 10 months)
  • M
    B.Tech
    MIT WPU
    May 2017 - Jun 2021 (4 years 2 months)
Projects (professional or personal) verified_user 0% verified
  • C
    Credit Card Fraud Detection
    • Used Credit card application data (1 million records) to detect fraud records. Created candidate variables and used filter methods (Kolmogorov-Smirnov, Fraud Detection Rate at 3%) and wrapper methods to eliminate variables • The base model Logistic Regression caught 52.6% of fraud records. Compared Boosted Trees, Neural Network, and Random Forest. Random Forest achieved the highest accuracy of 62.3%
  • N
    NYC Property Tax Record Fraud Detection
    • Worked on data from Property Valuation and Assessment Data of the NYC government (Unlabeled). Visualized and filled in missing values for each of the 32 data fields. Created an additional 45 Fraud algorithm variables to aid in detecting outliers for Unsupervised Learning • Used PCA for dimensionality reduction. Generated 2 fraud scores using z-score and autoencoders, then combined the scores to rank and analyze the top outlier records
  • D
    Data Quality [Enterprise /SME Customer; Category of Focus]
    • Built Amazon QuickSight dashboards for ClearTax's Compliance Suite (Clear GST, E-Invoicing, TDS) using Metabase and Retool datasets, maintaining L1 customer segmentation metrics including wallet share, churn, ARR, and activation • Led data pipeline deployment and gap analysis to consolidate structured data into a single warehouse for Clear One, ensuring low latency and consistent data availability • Ad hoc reports for the Licensing Sales team to update plan validity/ plan activation and subscription memberships; email marketing and customer adoption metrics [sent, opened, CTA clicked using SendGrid] • Setting up North Star metrics and ad hoc reports for Workspace Authorization, Single Sign On, and Licensing using Amazon Quicksight, S3
  • V
    VOC, Customer Support Improvements
    • Analyzed Salesforce ticket feedback from the in-app 'Help' option to address feature corrections and customer issues, using Gitbooks as a knowledge base, and optimized the support flow from the 'Support Button' confirmation, ensuring guided assistance for users facing pre-purchase pain points • Improved support bundled subscription targeting high-revenue projected leveraging Salesforce customer service lifecycles (case management by SLA) sales lifecycles won/closed for click-through using using inquiry option,
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