Anjali Kochar

Data Analyst

Redmond, Washington, United States7 yrs 8 mos experience

Highly Stable

Key Highlights

Improved operational efficiency by 66% through dashboard development.
Successfully transitioned financial reporting to automated analytics.
Developed predictive models to enhance student retention.

Stackforce AI infers this person is a Data Analyst with expertise in SaaS and Education sectors.

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Skills

Core Skills

Data AnalysisData VisualizationAnalyticsData Engineering

Other Skills

ScalaTableauPeriscope DataSQLMachine LearningAzure Data FactoryPower BIPythonAngularAmazon Web Services (AWS)Amazon RedshiftOffice 365DatabasesMicrosoft Power BILeadership

Experience

7 yrs 8 mos

Total Experience

3 yrs 11 mos

Average Tenure

3 yrs 9 mos

Current Experience

Remitly

Data Analyst II

Sep 2022 – Present · 3 yrs 9 mos · Seattle, Washington, United States

● Developed Amendments Lookback Analytical Dashboard, leveraging Scala and custom mart creation to deliver real-time insights into amendment accuracy. Empowered stakeholders with transparent metrics, driving informed decision-making and improving operational efficiency by 66% (reducing manual process time from 72hrs to 24hrs).
● Led the transition from Excel-based Topside financial reporting to an automated Tableau dashboard, significantly reducing manual effort and enabling self-service analytics for the accounting team. This reduced Topside manual process time from 46 hrs to 23 hrs (50% improvement) and increased automated analytics runs from 1x/month to 30x/month.
● Executed a comprehensive migration of 25+ disbursement loss dashboards and SQL logic to the modernized QMS platform, improving model accuracy by 42% and reducing reliance on outdated systems.

ScalaTableauPeriscope DataData AnalysisData Visualization

University of washington

Data Analyst

Jun 2021 – Jun 2022 · 1 yr · Tacoma, Washington, United States

● Created prototype model for predicting churn students with proof-of-concept demonstration CRISPDM data analytics standards using Machine Learning algorithms to find key significant attributes in causing high attrition.
● Used Azure Data factory as ETL tool to connect large datasets in SQL for querying database and analyzing the data, fetching insights using Tableau/Power BI dashboarding tools.
● Performing data wrangling using Python libraries to preprocess and transform data in a ready state to be input in ML model.
● Implemented Boosted Decision tree algorithm to predict with high precision and accuracy to identify potential churn students so that better recommendations can be provided to admissions department for reducing factors affecting retention.

Machine LearningAzure Data FactoryTableauPower BIPythonData Analysis+1

Quovantis technologies

Data Engineer

Jun 2017 – May 2021 · 3 yrs 11 mos · West Delhi, Delhi, India

● Spearheaded the establishment of Angular-based codebases for multiple clients, accelerating development timelines and improving code maintainability.
● Designed and built an internal communication tool for employees, introducing features such as "flow time" to enhance productivity and team collaboration.
● Developed and optimized SQL queries to efficiently retrieve and update large-scale datasets.
● Collaborated in Agile development teams to implement and iterate on UI/UX designs based on user feedback and evolving requirements.
● Interpreted & analyzed complex project requirements, ensuring alignment with business goals and technical feasibility.
● Participated in cross-functional design discussions to evaluate solutions and define technical approaches for feature implementation.
● Conducted gap analysis to identify key missing components in feature requests and proposed actionable solutions.

AngularSQLData Engineering