Krishna Ganta

Bis 2026, Data Analyst, BI Analyst
Frankfurt Am Main, Deutschland

Fähigkeiten und Kenntnisse

Computer Science
Agile Methodologies
Customer Analysis
Analytical Skills
Data Extraction
Application Development
ETL
Data Interpretation
Azure Data Factory
Jira
Azure Databricks
Organization Skills
Data Modeling
Knowledge Acquisition
Business Intelligence (BI)
Pandas (Software)
Qualitative Research
Data Reporting
KPI Dashboards
Cloud Applications
PostgreSQL
Data Visualization
Matplotlib
Communication
Quantitative Research
Predictive Analytics
Data Warehousing
Microsoft Excel
R (Programming Language)
Database Systems
Presentation Skills
Software as a Service (SaaS)
Microsoft Office
Remote Control
Presentations
DAX
Splunk
Microsoft Power BI
Problem Solving
SQL
Reporting & Analysis
Tableau
Microsoft PowerPoint
Programming
SQL Server Analysis Services (SSAS)
Teamwork
NumPy
SAP Skills
SQL Server Reporting Services (SSRS)
Project Management
Scikit-Learn
Third Party Management
ssis
Python (Programming Language)
Scrum
Troubleshooting
SSMS
Skill Development
Stakeholder Management
Statistical Analysis
Snowflake
Sustainable Energy

Werdegang

Berufserfahrung von Krishna Ganta

  • 1 Jahr und 2 Monate, Jan. 2025 - Feb. 2026

    Data Analyst

    BI Analyst

    Passionate and detail-oriented Data Analyst with hands-on experience in data visualization, business intelligence, and reporting solutions. Skilled in transforming raw data into meaningful insights using Power BI, SQL, Excel, and Python to support smarter business decisions and operational efficiency. Through my experience with projects aligned to IT consulting and business solution environments such as ARKIN TECHNO Pvt Ltd⁠, I have worked on dashboard development, data cleaning, KPI reporting, and analytic

Ausbildung von Krishna Ganta

  • 1 Jahr und 1 Monat, Sep. 2021 - Sep. 2022

    MSc Computer Science

    University of East London

    Dissertation: Sales Forecasting Using Machine Learning • Developed predictive models using machine learning techniques to forecast future sales performance. • Performed data preprocessing, exploratory analysis, and feature engineering on historical sales datasets. • Evaluated multiple forecasting m

Sprachen

  • Englisch

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    A1-A2 (Grundkenntnisse)

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