Analyze. Design. Deliver.
I am a motivated and detail-oriented Data Analyst with a strong foundation in data analysis, problem-solving, and business insights. With a background in Computer Science, I have developed the ability to work with data efficiently and extract meaningful information that supports decision-making.
I have hands-on experience in SQL, Excel, and Power BI, where I work on data cleaning, transformation, and visualization to uncover trends and patterns. I enjoy analyzing datasets, building dashboards, and presenting insights in a clear and impactful way.
As a fresher, I am continuously improving my skills through practical projects and professional certifications. I am particularly interested in solving real-world business problems using data and contributing to data-driven strategies.
I am currently seeking an opportunity to begin my career as a Data Analyst, where I can apply my skills, learn from experienced professionals, and grow in a dynamic environment.
Work Terms
Work Terms
Availability: Available for freelance, part-time, and full-time opportunities. Flexible working hours, including evening and night shifts if required
Project Approach: I follow a structured workflow including requirement gathering, data understanding, cleaning, analysis, visualization, and final reporting to ensure high-quality results
Communication: Open and clear communication throughout the project via platforms like Email, LinkedIn, or client-preferred tools to ensure alignment and transparency
Turnaround Time: Timely delivery based on project scope. Small tasks can be completed within 24–48 hours, while larger projects are delivered as per agreed timelines
Revisions: Open to feedback and provide revisions to ensure the final output meets client expectations
Payment Terms: Flexible and open to discussion based on project type (hourly or fixed). Preferred payment milestones for larger projects
Tools & Technologies: SQL, Microsoft Excel, Power BI, and basic data visualization tools for delivering efficient and accurate results
Data Privacy: Strictly maintain confidentiality and ensure secure handling of all client data
Quality Assurance: Focus on delivering accurate, clean, and actionable insights with attention to detail
Collaboration: Comfortable working independently or as part of a team, adapting to project needs