GNA

GIREESH NAIDU ADIREDDI

Data Analyst

https://www.opentalent.in/gireesh-naidu-adireddi

Data Analyst with less than a year in SQL, Python, and Power BI

Key Strengths

Strong foundational skills in SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), and Power BI, directly aligning with Data Analyst requirements.
Demonstrated ability to design and implement ETL pipelines, perform data wrangling, and conduct exploratory data analysis (EDA).
Proficiency in building interactive Power BI dashboards with advanced DAX measures, star-schema modeling, and Row-Level Security (RLS).
Experience in database design, query optimization, and complex SQL queries (CTEs, Window Functions, Indexing).
Proactive in leveraging AI tools (ChatGPT, Claude) for productivity and research.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong alignment with the Data Analyst role, covering key areas like e-commerce sales analysis, marketplace data, and insurance claims. The diversity of projects (SQL, Python ETL, Power BI dashboards) indicates a broad skill set and adaptability. The pursuit of multiple certifications (SQL, Data Analytics Essentials, Power BI Data Analyst) shows a commitment to continuous learning and professional development, which is a positive cultural indicator. However, the lack of professional experience means cultural fit is primarily inferred from project work and self-driven learning.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a detail-oriented approach to data analysis, focusing on data quality, efficiency improvements (e.g., reducing query execution time, cutting manual report preparation time), and delivering actionable insights. The use of AI tools suggests an adaptive and efficient work attitude. However, without completed psychometric or English tests, a comprehensive assessment of soft skills, logical reasoning, stress handling, and team collaboration is not possible.

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About

Detail-oriented Data Analyst with hands-on experience in SQL, Python, and Power BI, specializing in data wrangling, data cleaning, data transformation, and end-to-end ETL pipeline development. Proficient in writing complex SQL queries (CTES, Window Functions, Stored Procedures), building DAX-driven Power BI dashboards, and performing exploratory data analysis (EDA) to surface actionable business insights. Experienced in star-schema data modelling, KPI design, and statistical analysis. Actively leverages AI productivity tools (ChatGPT, Claude) to accelerate research and query writing.

Top Skills

SQLPythonPower BIStatistical AnalysisStored Procedures

Education

Raghu Engineering College

Bachelor of Technology · Electronics & Communication Engineering

December 1, 2021 – April 1, 2025

Pandit Junior College

M.P.C · Mathematics, Physics, Chemistry

June 1, 2019 – March 1, 2021

Projects

Multi-Brand Marketplace SQL Project

June 1, 2026 – Present

• Architected a normalized 10-table relational database schema (Sellers, Products, Orders, Customers, Payments, Inventory, Shipments) modelled on real-world e-commerce platforms. • Wrote complex multi-table JOIN queries and CTEs to generate seller performance reports, customer order histories, and category-level revenue summaries. • Reduced query execution time by ~50% by applying covering and composite indexes, validated through SSMS execution plan analysis.

E-Commerce Sales Analysis - Python ETL & EDA

June 1, 2026 – Present

• Built an end-to-end ETL pipeline to ingest, clean, and transform 1,000+ transaction records, reducing data inconsistencies by 30% through systematic data wrangling and validation. • Performed EDA to surface revenue trends, profit margins, and regional performance patterns; automated KPI report generation using Matplotlib and Seaborn, enabling 100% repeatable output.

Insurance Claims & Policy Analysis Dashboard

June 1, 2026 – Present

• Analyzed claim frequency trends, active vs. inactive policy ratios, and customer age segmentation using DAX-calculated columns and synchronized slicers with bookmarks. • Standardized inconsistent date formats and normalized policy data across multiple source tables via Power Query transformations, cutting manual report preparation time by ~40%.

Sales Performance Analysis Dashboard

June 1, 2026 – Present

• Designed and developed a multi-page interactive Power BI dashboard tracking sales trends, product performance, and customer-level metrics using drill-through pages and cross-filter visuals. • Built advanced DAX measures for time-intelligence KPIs (YoY growth, MoM comparisons), enabling period-based performance benchmarking across product lines and customer segments. • Implemented star-schema data modelling with defined relationships and configured Row-Level Security (RLS) roles to enforce data governance and restrict visibility per user group.

Certifications

Data Analytics Essentials

Cisco

June 1, 2026 – Present

SQL Certification

SkillUp by GeeksforGeeks

June 1, 2026 – Present

Microsoft Power BI Data Analyst (PL-300)

Unknown

June 1, 2026 – Present

SQL and Relational Databases 101 (DB0101EN)

IBM Skills Network

February 1, 2026 – Present

Key Strengths

Strong foundational skills in SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), and Power BI, directly aligning with Data Analyst requirements.
Demonstrated ability to design and implement ETL pipelines, perform data wrangling, and conduct exploratory data analysis (EDA).
Proficiency in building interactive Power BI dashboards with advanced DAX measures, star-schema modeling, and Row-Level Security (RLS).
Experience in database design, query optimization, and complex SQL queries (CTEs, Window Functions, Indexing).
Proactive in leveraging AI tools (ChatGPT, Claude) for productivity and research.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit