Hyderabad, Telangana, India
Data Analyst | Passionate about Data Storytelling | Skilled in Power BI, SQL, Excel & Python I’m a results-driven Data Analyst with ~1 year of hands-on experience transforming raw data into meaningful business insights. I love uncovering patterns, solving real problems, and helping teams make smarter, faster decisions using data. Here’s what I bring to the table: Strong Analytical Skills – Experienced in gathering, cleaning, and analyzing data to identify trends, optimize performance, and support data-driven decisions. Technical Proficiency – Proficient in Power BI, SQL, Excel, and Tableau; currently expanding my capabilities with Python (Pandas, NumPy) for data analysis and automation. Data Storytelling – Skilled at translating complex datasets into visually engaging dashboards and clear, actionable insights for non-technical stakeholders. Business Acumen – Able to connect analytics with business goals, delivering insights that align with company strategy and support growth. Collaborative Mindset – Partnered with cross-functional teams to build dashboards and reports that improved operational decisions. Eager to Learn & Grow – Passionate about continuous learning and excited to contribute to impactful projects in dynamic, data-driven teams. Actively looking for full-time opportunities in: - Data Analyst roles - Power BI Developer positions - Entry-Level BI or Analytics roles across domains (Retail, Healthcare, EdTech, Finance) If you're looking for someone who can bridge the gap between raw data and business decisions through compelling visuals and thoughtful analysis—I’d love to connect! Reach me at: [email protected] Let’s connect and talk data.
◦ Built an automated sales dashboard for a computer hardware business facing scalability challenges and lack of actionable insights in a rapidly changing market. ◦ Used SQL for data extraction and cleaning, and Power BI to visualize revenue growth, YOY trends, and region-wise performance. ◦ Enabled stakeholders to make data-informed decisions, identifying key patterns and improving sales tracking. ◦ The dashboard led to a projected 7% revenue increase in the following quarter due to improved sales strategy and faster decision-making