29.09.2025 aktualisiert
Premiumkunde
100 % verfügbarData Analyst
Ilmenau, Deutschland Masters in Research in Computer Systems and Engineering
Über mich
Business Intelligence Analyst with expertise in Power BI, SQL, and data warehousing, passionate about turning complex datasets into actionable insights. Skilled at consulting, dashboard design, and self-service BI enablement, with proven success in standardizing BI processes.
Skills
Data AnalysisAutomatisierungBusiness IntelligenceETLDatenqualitätData WarehousingPythonPrimärdatenPower BiProzessautomatisierungSQLTableau
I am a results-oriented Data Analyst and BI Developer with more than 3 years of experience in Python, SQL, and leading BI tools such as Tableau and Power BI. My expertise includes designing and automating ETL pipelines, building data warehouses, and developing end-to-end BI solutions that transform raw data into actionable insights.
I have a proven track record of improving data quality, implementing KPI-driven dashboards, and optimizing business intelligence processes for better decision-making. Passionate about data-driven strategy and process automation, I thrive on helping businesses turn complex data into measurable growth.
Sprachen
DeutschgutEnglischverhandlungssicher
Projekthistorie
Developed data validation workflows, automated quality checks with SQL and Python improving data reliability by 20%, collaborated with marketing and product teams, and documented processes in Confluence.
Created Power BI dashboards to analyze performance and identify customer trends, conducted correlation and portfolio analysis, partnered with business teams to improve customer segmentation, and supported marketing teams with insights.
Zertifikate
Python Programmer
Data Camp2021
Data Science with Python
Data Camp2021
Portfolio
Sales Analysis
I built a BI dashboard to answer key business questions such as total customers, revenue trends, churn rate changes, top-performing products and categories, and supplier-customer performance. Using Python, SQL, and BI tools, I automated reporting to support data-driven decisions.
App's Performance Overview
I created a dashboard to track app performance, showing total users, device types, revenue trends, and top customer locations. Using Python, SQL, and BI tools, I automated data collection and visualization, helping the client make data-driven decisions for marketing and growth.
https://github.com/sharjeel196196/Dashboards/blob/main/Audience_Report.pdf
Python script of data pipeline
The goal was to extract data from the MailerLite API, transform it based on the destination schema, and load it into a data warehouse table. I developed a Python-based ETL pipeline to automate this process, ensuring accurate, consistent, and timely data updates for analysis.