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Yogesh Kumar

@yogeshkumar8

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Data analytics professional skilled in Power BI, SQL, Python and delivering actionable, cost-saving insights.

India

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What I'm looking for

I seek analytics roles where I can build end-to-end dashboards, improve reporting efficiency, collaborate with cross-functional teams, and drive measurable business impact.

I am a data analytics professional with a B.Tech in Computer Science Engineering and hands-on experience building dashboards, automating ETL, and developing predictive and anomaly-detection models. I have delivered measurable outcomes including 30% faster reporting, 15% reduced reporting overhead, 50K+ cost savings, and a 10% projected profit margin uplift.

I excel at translating business problems into data solutions using Power BI, Tableau, SQL and Python, and I collaborate closely with procurement and risk teams to generate governance-backed insights. I have practical cloud and integration experience (IBM Cloud, AWS, middleware APIs), strong data-quality practices, and a track record of improving reporting efficiency and decision-making.

Experience

Work history, roles, and key accomplishments

Virtual Intern - Data Analytics

Deloitte and Accenture (via Forage)

Apr 2025 - Apr 2025 (0 months)

Analyzed 10K+ financial and business records to uncover trends and risk patterns and built automated Tableau/Power BI dashboards that improved reporting efficiency by 30% while enforcing data governance.

Power BI Tableau)SQL Python Data Cleaning ETL Data Governance Dashboarding Tableau

Cloud Computing Intern

IBM SkillsBuild Edunet

Jan 2023 - Mar 2023 (2 months)

Designed cloud-integrated analytics solutions on IBM Cloud and AWS, documented SRS requirements, and implemented control monitoring to optimize report delivery processes by 30%.

AWS IBM Cloud Databricks SRS Documentation Monitoring SQL

Education

Degrees, certifications, and relevant coursework

JSS Academy of Technical Education, Noida

Bachelor of Technology, Computer Science Engineering

Pursuing B.Tech in Computer Science Engineering with expected completion in 2025, focusing on analytics, data visualization, and cloud-integrated solutions.