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omkar Subhash utkurOU
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omkar Subhash utkur

@omkarsubhashutkur

Data analyst skilled in SQL, Python, Excel, and Power BI delivering actionable insights.

India
Message

What I'm looking for

I seek analytical roles where I can build dashboards and models, work in fast-paced teams, and deliver measurable business impact while growing technical and ML skills.

I am a data analyst with hands-on experience in SQL, Python, Excel, Power BI and Tableau, focused on turning raw data into actionable business insights.

During my internship at ETLHIVE I conducted end-to-end analyses, created interactive Power BI dashboards, and built smart Excel templates that reduced reporting time by 40% across four departments.

Previously I worked as a software engineer and configuration analyst, developing automation solutions, Java web applications, and database schemas—bringing a strong engineering mindset to analytics problems.

I have completed multiple analytics projects including Fitbit activity analysis, Olympics data cleaning and prediction, and Walmart sales forecasting (ML model with ~85% reported accuracy), and hold certifications in data analytics and automation.

Experience

Work history, roles, and key accomplishments

ET

Data Analyst Intern

ETLHIVE

Apr 2025 - Jun 2025 (2 months)

Conducted end-to-end data analysis and built Power BI and Tableau dashboards that visualized revenue trends, employee attrition, and monthly performance; designed Excel templates that reduced reporting time by 40% across four departments.

SL

Software Engineer

Sumasoft Pvt. Ltd.

Sep 2019 - Mar 2021 (1 year 6 months)

Implemented AI Fabric integration with UiPath to enhance automation, developed a Java Struts-based multithreaded chat application, and automated mortgage loan processes with Selenium, supporting end-to-end product tracking for logistics clients.

Education

Degrees, certifications, and relevant coursework

PE

PES Modern College of Engineering

Bachelor of Engineering, Information Technology

Grade: 60%

Bachelor of Engineering in Information Technology completed in 2017 with a focus on software and data-related coursework; achieved a 60% final percentage.

Tech stack

Software and tools used professionally

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