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shabeer_ay

Shabeer

@shabeer_ay

Expert in Custom Forms, Data Cleaning and Excel Dashboards

Índia
Inglês, Hindi, Canarim
Algumas informações são exibidas no idioma inglês.
Sobre mim
Need clean data or professional forms? I'm Shabeer, a data specialist with 10+ years of experience delivering accurate, streamlined solutions. What I do best: ✔️ Excel Data Cleaning: Removing duplicates, formatting, data merging, splitting, and Power Query workflows. ✔️ Excel Dashboards: Creating dynamic charts, pivot tables, and interactive reports. ✔️ Form Creation: Custom Google Forms & Jotform setups with smart conditional logic and surveys. High quality, fast delivery, and clear communication. Drop a message with your file size or form requirements!... Saiba mais

Habilidades

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shabeer_ay
Shabeer
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Fórmulas e Macros
I will do data cleaning, analysis and dashboard visualization
A partir deUS$ 15 /projetoMais detalhes
Dados
I will create a professional google form for survey and research
A partir deUS$ 5 /projetoMais detalhes

Portfólio

Experiência profissional

Data Engineer

Deutsche Gesellschaft für Internationale Zusammenarbeit • Período integral

Jan 2021 - Jul 2022 • 1 yr 6 mos

Data Analyst – GIZ / WASCA Project October 2021 – July 2022 Worked as a Data Analyst supporting hydrological and water-resource planning projects, focusing on data cleaning, transformation, analysis, reporting, and visualization. Cleaned and standardized 30,000+ records daily using Excel and Power Query, and used Python (Pandas) for larger datasets beyond Excel’s capacity. Performed data cleaning, validation, duplicate removal, null handling, data-type corrections, and standardization. Used Excel formulas, Pivot Tables, Power Query, and data analysis techniques to summarize and analyze datasets. Prepared clean, structured datasets for MIS reports, analytical reporting, and decision-making. Created interactive dashboards using both Microsoft Excel and Power BI, including charts, slicers, filters, KPIs, and drill-downs. Used Power BI and DAX to create calculated columns, measures, KPIs, and dynamic analytical metrics. Used SQL to extract, filter, join, aggregate, and analyze data for reporting requirements. Performed data quality checks to ensure accuracy, consistency, and reliability of analytical outputs. Transformed raw and complex datasets into clean, structured, and analysis-ready data for reporting and visualization. Key Achievement: Transformed large and diverse datasets into reliable analytical data and interactive dashboards, helping stakeholders understand trends and make informed decisions.