Data Analytics • BI • Data Engineering

Mahesh Chilukamari

Data Analyst | BI Developer | Data Engineering Enthusiast

Turning raw data into actionable insights through SQL, Python, Power BI, and scalable analytics solutions.

Mahesh Chilukamari professional headshot
1,000+

Technology assets analyzed

SQL • Python • Power BI

Analytics toolkit

About

Data-focused problem solver with a builder’s mindset.

Computer Science graduate student with strong experience in SQL, Python, data visualization, business intelligence, data validation, cleansing, transformation, exploratory data analysis, Apache Spark, dashboards, KPI reporting, and data-driven decision-making.

Mahesh brings hands-on experience across inventory analytics, machine learning projects, big data processing, and full-stack systems. His work centers on transforming messy operational data into accurate reporting, practical dashboards, and clear insights for business teams.

5+

Portfolio projects

3

Professional roles

2026

MS graduation

Skills

Analytics, BI, and data engineering capabilities.

Data Analytics

SQL, Python, Pandas, NumPy, PySpark, EDA, Data Validation, Data Cleansing

Business Intelligence

Power BI, Tableau, KPI Development, Dashboard Development, Reporting

Data Engineering

ETL Pipelines, Data Modeling, Batch Processing, Data Governance, Data Quality

Big Data

Apache Spark, Hadoop, Hive, Databricks, AWS EMR, Airflow, Kafka

Databases

MySQL, MongoDB

Tools

Excel, Power Query, Git, Linux

Projects

Selected analytics and engineering work.

Sales Performance Analytics Dashboard

Interactive BI dashboard for revenue trends, regional performance, KPIs, and executive insights.

Power BISQLExcelKPI Reporting

Forecast for the 24-Hour Le Mans Race

Big data forecasting project using distributed processing to identify trends, anomalies, and race-performance signals.

Apache SparkHadoopHiveAWS EMR

Kubernetes Deployment Project

Containerized deployment workflow focused on scalable app delivery, cluster configuration, and operational reliability.

KubernetesDockerLinuxGit

Flight Fare Prediction

Machine learning model for airline fare prediction with data cleaning, EDA, feature analysis, and validation.

PythonSQLRandom ForestEDA

Restaurant Management System

Full-stack system for orders, reservations, inventory, billing, REST APIs, database schema, and CRUD workflows.

Front EndBack EndREST APIsDatabase

Experience

Professional roles across analytics, ML, and software systems.

2025–2026

Student Assistant – Asset Management | Inventory Analytics & Operations

University of North Texas

Managed and analyzed 1,000+ technology assets with data validation, cleansing, reconciliation, Excel reporting, dashboards, trend analysis, and data governance.

2019

Software Development Intern

SV Global Solutions

Built Restaurant Management System functionality across front-end, back-end, REST APIs, database schema, CRUD operations, testing, and debugging.

2022–2023

Data / Machine Learning Intern

Tele Paradigm Network Ltd.

Developed a Flight Fare Prediction project using Python and SQL, including cleaning, EDA, trend analysis, Random Forest Regression, validation, and reporting.

My Journey

A focused path from software systems to data analytics.

2019

Software Development Intern – SV Global Solutions

Worked on Restaurant Management System, front-end, back-end, REST APIs, database schema, CRUD operations, testing, debugging, orders, reservations, inventory, and billing.

2022–2023

Data / Machine Learning Intern – Tele Paradigm Network Ltd.

Worked on Flight Fare Prediction using Python and SQL. Performed data cleaning, EDA, trend analysis, Random Forest Regression, model validation, and business reporting.

2023

Bachelor of Engineering – Information Technology

Osmania University, Hyderabad, India.

2023–2024

Big Data & Analytics Projects

Worked on Forecast for the 24-Hour Le Mans Race using Apache Spark, Hadoop, Hive, AWS EMR, trend analysis, anomaly detection, and distributed processing.

2025–2026

Student Assistant – Asset Management / Inventory Analytics

University of North Texas. Managed and analyzed 1,000+ technology assets, performed data validation, cleansing, reconciliation, Excel reporting, dashboards, trend analysis, and data governance.

2026

Master of Science – Computer Science

University of North Texas, Denton, TX.

2026–Present

Data Analyst / BI Portfolio Projects

Built Sales Performance Analytics Dashboard, Kubernetes Deployment Project, ETL pipelines, SQL/Python/Power BI dashboards, KPI reporting, and executive insights.

Education

Academic foundation in computer science and information technology.

University of North Texas

Master of Science, Computer Science

May 2026 • Denton, TX

Osmania University

Bachelor of Engineering, Information Technology

June 2023 • Hyderabad, India

Certifications

Continuous learning across analytics, security, AI, and engineering.

Google Data Analytics Professional Certificate
IBM Cybersecurity Analyst Professional Certificate
Salesforce Developer Virtual Internship
Tata GenAI Powered Data Analytics Job Simulation
Deloitte Data Analytics Job Simulation
Accenture Software Engineering Job Simulation

Contact

Let’s talk about data, dashboards, and better decisions.

Open to data analyst, BI developer, and data engineering opportunities where clean reporting and practical insights matter.