krishna chethan ramadsu

Data Professional

Hyderabad, India 3+ yrs exp 86 · Excellent

About

Data Professional with expertise in KPI Frameworks & Reporting, SQL, Power BI, Root-Cause Analysis, Python. Power BI Developer and Data Analyst with 2+ years of experience designing enterprise reporting solutions using Power BI, DAX, Power Query, SQL, and Power BI Service. Experienced in dimensional data modeling, semantic model design, Row-Level Security (RLS), and building scalable dashboards that support business decision-making. Skilled in collaborating with stakeholders to translate business requirements into high-performance reporting solutions.

Skills & Expertise (36)

Power BI Service Advanced

8.2/10

1.5

Years Exp

Power BI Advanced

8.0/10

1.5

Years Exp

Advanced DAX Advanced

7.4/10

1.5

Years Exp

Power Query Advanced

7.4/10

1.5

Years Exp

Visualizations Advanced

7.0/10

1.5

Years Exp

Row-Level Security Advanced

7.0/10

1.5

Years Exp

Excel Advanced

7.0/10

Years Exp

SQL Advanced

7.0/10

Years Exp

Data Modeling Advanced

7.0/10

1.5

Years Exp

Python Intermediate

6.8/10

Years Exp

Pandas Intermediate

6.8/10

Years Exp

Scheduled Refresh Intermediate

6.8/10

1.5

Years Exp

Performance Optimization Intermediate

6.6/10

1.5

Years Exp

Descriptive Statistics Intermediate

6.4/10

Years Exp

Requirements Gathering Intermediate

6.0/10

Years Exp

Process Documentation Intermediate

6.0/10

Years Exp

MySql Intermediate

6.0/10

Years Exp

Root-cause analysis Intermediate

6.0/10

Years Exp

NumPy Intermediate

6.0/10

Years Exp

Postgresql Intermediate

5.6/10

Years Exp

Tableau Intermediate

5.4/10

Years Exp

CTEs Intermediate

5.2/10

Years Exp

REST APIs Intermediate

5.0/10

Years Exp

GitHub Copilot Intermediate

5.0/10

Years Exp

Google Cloud Intermediate

5.0/10

Years Exp

Azure Intermediate

5.0/10

Years Exp

GCP Intermediate

5.0/10

Years Exp

AI-Assisted Development Intermediate

5.0/10

Years Exp

ChatGPT Intermediate

5.0/10

Years Exp

Claude Intermediate

4.0/10

0.5

Years Exp

FastAPI Intermediate

4.0/10

0.5

Years Exp

AWS S3 Intermediate

4.0/10

0.5

Years Exp

EC2 Intermediate

4.0/10

0.5

Years Exp

Apache Airflow Intermediate

4.0/10

0.5

Years Exp

AWS Glue Intermediate

4.0/10

0.5

Years Exp

Redshift Intermediate

4.0/10

0.5

Years Exp

Work Experience

Data Analyst

Xitara Infinix Pvt Ltd

Jan 2025 - Jun 2026

Developed enterprise Power BI semantic models and 10+ interactive dashboards using dimensional star schema design, advanced DAX, and Power Query transformations; implemented Row-Level Security (RLS), published datasets to Power BI Service, and configured scheduled refresh. Designed SQL queries and optimized data extraction pipelines supporting Power BI semantic models, reducing report latency and improving dashboard responsiveness. Collaborated with business stakeholders to gather reporting requirements and translate business logic into reusable semantic models and interactive dashboards.

Data Analyst Trainee

360DigiTMG

Aug 2024 - Jan 2025

Performed data cleaning, preprocessing, validation, and exploratory data analysis (EDA) using Python (Pandas, NumPy) and Advanced Excel on real-world sales, operations, and customer datasets. Wrote SQL queries to extract and transform datasets for analysis; documented findings and presented insights to the training team. Built Power BI reports and dashboards to monitor demand trends, operational KPIs, and performance metrics for stakeholder review.

Sales & Inventory Analyst Intern

Sai Ram Marketing

Jan 2024 - Aug 2024

Maintained and analysed sales and inventory datasets using Advanced Excel (Pivot Tables, VLOOKUP, INDEX/MATCH), ensuring high data accuracy across all records. Identified demand patterns and seasonal trends through structured data analysis, flagging stock-out risks to management and supporting inventory optimisation decisions.

Production & Operations Analyst Intern

Delta Automation Systems

Jun 2023 - Jan 2024

Analysed production throughput, quality metrics, and cycle-time data using Excel to identify inefficiencies and workflow bottlenecks in manufacturing processes. Applied descriptive statistics to detect recurring equipment defect patterns, supporting engineering teams with structured operational reports.