KOMAL MORE

Independent Learning & Projects | May 2025 – Present

• Engaged in continuous up skilling in SQL, Power BI, and Python to strengthen data analytics expertise.
• Applied learnings through hands-on projects (e.g., building dashboards, writing SQL queries for mock datasets).
• Explored AI-powered productivity tools (Microsoft Copilot, Chat GPT) to accelerate data analysis and reporting tasks.
• Learned to create interactive AI-powered PowerPoint presentations to communicate insights effectively.
• Focused on workflow optimization by integrating AI into reporting and data analysis tasks.

• Conducted in-depth research and analysis of multi-functional datasets to evaluate market conditions and identify key business trends, leading to a 90% improvement in customer retention.
• Gathered and synthesized data from SQL databases, Excel models, and CRM tools to provide comprehensive insights aligned with organizational objectives.
• Designed and deployed interactive Power BI dashboards with custom visualizations (bar, line, scatter, maps, etc.) to support both technical and non-technical decision-makers.
• Automated recurring data collection processes, reducing manual reporting time by 80% and enabling faster strategic decisions.
• Prepared and delivered research-based presentations for leadership, effectively communicating data insights and implications for business strategies.
• Ensured data quality and accuracy by applying Power Query transformations, validations, and documentation best practices.
• Collaborated with stakeholders across departments to align data research with company objectives, integrating findings into performance and operational improvements.
• Authored technical documentation and process guides to support cross-training, knowledge sharing, and continuous improvement.
• Key Achievements:
• Developed actionable insights that directly influenced strategic planning and sales growth.
• Enhanced efficiency of reporting processes by integrating AI-powered tools into workflows.
• Simplified complex data structures for predictive modeling and research analysis.

• Experienced Data Analyst skilled in improving operations and driving business growth through data-driven insights and efficient processes.
• Skilled at addressing client queries with accuracy and timeliness, ensuring effective business delivery.
• Delivered timely and accurate financial and operational reports to support decision-making for stakeholders.
• Proficient in understanding client requirements and providing tailored statements, reports, and actionable insights.
• Strong background in SQL for data mining to deliver impactful insights and business value.
• Hands-on experience in MIS and dashboard preparation, supporting ad-hoc data analysis for business owners and management teams.
• Established and organized key performance indicators (KPIs) aligned with global objectives, enabling better performance tracking.
• Managed end-to-end analytics projects, from requirement gathering to data extraction, analysis, and presentation.
• Familiarity with Customer Relationship Management and participation in process review calls with stakeholders.
• Skilled in project accounting, revenue recognition, and generating financial reports for project status and expenditure analysis.
• Proficient in analyzing large datasets to identify trends, opportunities, and actionable insights that enhance business performance.
• Collaborated with managers to assess challenges and implement improvements, streamlining workflows and processes.
• Key Strengths:
• Efficient in handling client communications and delivering business insights.
• Experienced in financial and data-driven reporting with attention to detail.
• Strong technical expertise in Advanced Excel, SQL, and project accounting systems.