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Navesh Kommineni

Navesh Kommineni

Data Analyst

Hyderabad 4+ yrs exp 94 · Outstanding

About

Data Analyst with 4.7+ years of experience in data analysis, SQL, Power BI, DAX, data transformation, reporting, and dashboard development. Experienced in analysing large datasets, developing business and operational KPIs, performing data extraction and validation, building interactive dashboards, and delivering actionable insights for business decision-making. Strong experience with Microsoft SQL Server, Power BI, Power Query, Google internal tools, Python, data modelling, data quality, and stakeholder collaboration.

Skills & Expertise (32)

Power BI Advanced
8.5/10
5
Years Exp
Microsoft SQL Server Advanced
8.3/10
5
Years Exp
Exploratory data analysis Advanced
8.1/10
5
Years Exp
Data Validation Advanced
8.0/10
5
Years Exp
Data Quality Advanced
8.0/10
5
Years Exp
Complex SQL queries Advanced
8.0/10
5
Years Exp
Data Transformation Advanced
8.0/10
5
Years Exp
Python Advanced
8.0/10
5
Years Exp
Trend Analysis Advanced
7.8/10
5
Years Exp
Reporting Advanced
7.5/10
5
Years Exp
Business Insights Advanced
7.0/10
5
Years Exp
Power Query Editor Buganizer Data Cleaning Data Preprocessing ETL Data Modelling Pandas NumPy Data Manipulation Interactive Dashboards KPI development DAX Power BI Reports Power BI Desktop Data Extraction Window Functions Views CTEs Stored Procedures SQLite3 Requirement Analysis

Work Experience

Software Engineer – Data Analyst

Motivity labs

Mar 2026 - Present

Developed and validated 40+ operational metrics across 100+ source tables for 3PDC machine-maintenance operations, achieving 97% data accuracy across key metrics including repair cycle time, machine availability, kitting, build cycle time, throughput and etc. Translate stakeholder requirements from Buganizer metric tracking sheets into scalable SQL-based metric logic, analyzing source data, defining calculations, and collaborating with metric owners to achieve requirement alignment. Build and maintain consolidated backend tables using PLX Query Editor, leveraging existing and newly developed SQL logic to standardize metric data and provide reliable datasets for operational dashboards. Develop PLX prototype dashboards and implement production-ready solutions through CIDER, managing SQL, specification, build, and workflow components to support automated and scheduled data refreshes. Perform end-to-end data and metric validation across Dev/Test environments, tracing dashboard outputs to source tables, identifying and resolving data discrepancies, and supporting CL-based code review and production deployment.

Data Analyst

Cognizant Technology Solutions (CTS)

Jul 2025 - Feb 2026

Served as a Global Data Analyst for Google’s Street View Car Operations, supporting operational analytics and performance monitoring for a global fleet of 750 Street View vehicles. Analyzed large-scale operational datasets using SQL to extract, transform, validate, and reconcile data, supporting accurate reporting and operational decision-making. Developed analytical reports to track vehicle operations, regional performance, operational trends, and performance gaps, enabling teams to identify issues and improvement opportunities. Performed data quality checks, validation, and discrepancy analysis across operational datasets to improve data accuracy and reporting reliability. Collaborated with cross-functional and regional teams to translate operational requirements into data analysis and reporting solutions, supporting downstream Disk Operations and Imagery Data Processing. Delivered data-driven insights that contributed to a 20% increase in website engagement and a 25% improvement in customer satisfaction.

Systems Engineer – Data Analyst

Tata Consultancy Services limited (TCS)

Dec 2021 - Jun 2025

Developed a Vehicle Booking Trend Analysis solution using SQL Server and Power BI, analysing 50K+ booking records across customers, vehicles, booking duration, and vehicle availability. Connected Power BI Desktop to the CRM_Reporting SQL Server database and used SQL and Python/Pandas for data extraction, preprocessing, exploratory analysis, and validation. Used Power Query Editor to clean and transform datasets, handling missing values, inconsistent entries, and data-quality issues across multiple source fields. Designed a fact and dimension data model and developed 10+ DAX measures/KPIs, including Total Bookings, Vehicle Utilization Rate, Average Booking Duration, and Cancellation Rate. Built interactive Power BI dashboards with slicers, filters, drill-downs, and visualizations to analyze booking trends, customer activity, vehicle utilization, and operational performance. Analyzed 100K+ sales records using SQL and Python/Pandas to identify sales trends, performance variations, and business patterns. Developed SQL queries to extract and transform data from source tables and performed data cleaning, preprocessing, and validation using Python/Pandas. Created 10+ business KPIs and analytical measures to monitor sales performance across products, regions, and time periods. Developed interactive Power BI dashboards with filters, slicers, and trend visualizations to provide stakeholders with actionable sales insights. Performed data-quality checks and trend analysis to identify performance gaps and support data-driven business decision-making.

Education

Bachelor of Technology (B.Tech) – Electrical and Electronics Engineering - GITAM

- 2021 · Afghanistan

Certifications

TCS Elevate Wings 1 BFSI Certification Version-1.0

· 2023

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 14/15
💰 Rate 0/5
🏆 Certs 5/5
Verified 5/5
Total Score 94/100

Profile Overview

Member sinceSep 2026