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Entry-Level Power BI Developer with Data Science and Cloud Skills
To be a part of an organization where I can get a chance to learn new things, which helps to increase my growth, and which leads to the organizational growth. To work in an organization with a knowledge-stimulating environment and growth-oriented outlook, which will enable me to continually face new challenges and encourage me to learn from each of them. Having good knowledge in Power query, Power pivot and Power view for creating the effective reports and dashboards in Power BI. Experience in creating different type of colorful reports using Power BI desktop. Worked on Custom Visualizations like Chiclet Slicer, Waterfall Chart and Pulse Chart. Publishing the reports into Power BI Service and sharing the reports & dashboards with users. Creating workspaces, apps and applying row level security (RLS) on top of datasets. Experience on enabling various types of filters for reports and enabling slicers for reports. Created drill down and drill through reports and used sync slicers to filter data in pages. Experience on creating bookmarks and enabling action types like page navigation, bookmarks, web URL & back actions to perform toggling and navigations. Worked on On-Premises Gateway to refresh the data sources and dashboards. Knowledge on creating analysis service tabular models and deploying them to analysis server. Importing tables and creating data sources, relationships, translations, roles and prospectives. Experience on creating dashboards, pinning visuals, and sharing with users. Experience on installing gateways and configuring data sources and enabling schedule refresh. Have knowledge on SQL Server database and performing DDL, DML operations. Experience in Azure Data Factory, Fabric Data Factory and building pipelines and fabric items along with Data Lake, Lakehouse and Warehouse items and semantic models. Worked in On prem to cloud migration projects and excel reports to Power BI version. Experience in Fabric data flows, Power Query, notebooks, data pipelines
Sreenivasa Institute of Technology & Management
B.Tech · CSE (Data Science)
N/A – June 30, 2026
Fine-tuning Deep Seek R1 to Summarize SQL Queries
January 1, 2026 – June 1, 2026
Built an application to convert SQL queries into human-readable summaries. - Utilized Hugging Face datasets and implemented in Google Colab.
Internship Data Science Intern – Cod Tech
January 1, 2026 – June 1, 2026
Developed strong skills in preprocessing and exploratory data analysis to uncover actionable insights.
Data Analytics-Besant technologies
January 1, 2026 – June 1, 2026
Completed a comprehensive Data Analytics internship focused on extracting insights from data using advanced tools and techniques. -Gained hands-on experience in data cleaning, visualization and statistical analysis.
Data Visualization using R
Unknown
June 1, 2026 – Present
Webinar organized by "E-Cell IIT Hyderabad for carrier guidance"
E-Cell IIT Hyderabad
June 1, 2026 – Present
Pursuing Full Stack Development course
KodNest Technologies
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and certifications indicate an interest in data science, data analytics, and full-stack development, alongside the target role of Power BI Developer. This breadth suggests a willingness to learn and adapt, which can be a positive cultural fit for dynamic environments. The academic project involving fine-tuning a language model shows initiative beyond typical Power BI tasks. However, the experience level is very low (0 years), and the projects are primarily academic or internship-based, which limits the assessment of cultural fit in a professional, long-term setting.
Soft Skills & Operational Fit
The candidate lists 'Quickly adjustable to any environment', 'Hardworking nature and Positive attitude', and 'Self-disciplined' as personal skills. The resume also mentions 'good comminution skills and connected with different location clients to have meetings', which suggests a foundational understanding of professional interaction. However, without specific examples or interview data, the depth of these soft skills and their operational fit cannot be fully assessed.