Este é o meu perfilContato pela CazVidEste perfil está escrito em inglês
Yashas
Data Analyst
Contato
Competências
Demonstrated experience with Power BI.
Demonstrated experience with Tableau.
Demonstrated experience with Dashboard Development.
Demonstrated experience with Data Visualization.
Demonstrated experience with KPI Reporting.
Formação acadêmica
Resumo
Data Analyst open to new opportunities
Experiência
QA and Inventory Analyst
Analyze production inspection and inventory datasets using Excel, Power BI, and ERP system data, identifying quality trends, operational KPIs, and inventory movement patterns that support production monitoring and operational decision making.. Capture and validate inspection metrics including weight, dimensional measurements, grading parameters, and product quality indicators, maintaining structured datasets that support traceability and operational reporting.. Develop Excel-based reporting models and consolidated datasets, enabling real-time monitoring of quality performance, inspection outcomes, and operational KPIs for quality and warehouse operations teams.. Perform data validation, dataset reconciliation, and quality verification checks, improving data accuracy, reporting reliability, and compliance readiness across operational datasets.. Monitor inventory movement using FIFO inventory management practices, improving traceability of product batches and supporting inventory accuracy across warehouse operations.. Conduct trend analysis on inspection and inventory datasets, identifying recurring quality issues, operational patterns, and grading inconsistencies that impact shipment readiness and product quality performance.. Support corrective action initiatives and quality improvement efforts by providing analytical insights derived from inspection records and operational performance reports.. Maintain structured datasets and documentation supporting internal audits, compliance reviews, and traceable quality management processes.. Collaborate with quality assurance teams, warehouse supervisors, and operational staff to interpret operational data and improve reporting and inspection workflows.
Data Analyst
Extract and analyze operational datasets using SQL and Excel, generating performance reports, KPI dashboards, and analytical insights used by project managers and business stakeholders for performance monitoring.. Design and maintain Power BI dashboards and interactive reports, enabling leadership teams to monitor operational KPIs, project performance, and resource utilization trends.. Cleaned and transformed datasets using Python (Pandas) and Power Query, improving dataset quality and ensuring reliable reporting outputs.. Conduct trend analysis and KPI monitoring, identifying performance patterns, operational gaps, and improvement opportunities across multiple business projects.. Translated reporting requirements into SQL queries, structured datasets, and reporting models, enabling consistent data access and reporting across teams.. Documented analytical workflows, dataset structures, and reporting logic to maintain repeatable and traceable reporting processes.. Delivered weekly and monthly performance reports, summarizing key operational metrics and analytical insights for leadership review.. Automate Excel reporting workflows and analytical processes, improving reporting efficiency, reporting turnaround time, and consistency of performance reporting.. Collaborated with cross-functional stakeholders including project managers, analysts, and technical teams to interpret analytical insights and support business decision making.
Business Data Analyst
Analyze engineering and operational datasets using Excel and simulation outputs, supporting product design evaluation, engineering analysis, and data-driven design decisions.. Designed mechanical components using CATIA, contributing to prototype development and product design improvements.. Performed structural simulations using Abaqus, evaluating component strength, stress distribution, and structural limitations.. Interpret simulation results and testing datasets, identifying design improvements, structural optimization opportunities, and performance limitations.. Prepared technical documentation including engineering drawings, simulation reports, validation documentation, and design records.. Maintained structured engineering datasets ensuring traceability of testing activities, validation results, and design revisions.. Collaborated with engineering teams to review simulation outcomes and support data-driven product design decisions.. Documented engineering analysis and design revisions supporting product validation and development lifecycle tracking.