Key Skills and Expertise:
Advanced Excel Skills: Proficient in utilizing Excel's formulas, functions, pivot tables, macros, and data visualization tools to manipulate and analyze large datasets efficiently.
Data Cleaning and Preparation: Experienced in cleaning and preprocessing raw data to ensure accuracy and consistency, enabling robust analysis and modeling.
Statistical Analysis: Skilled in applying statistical methods and techniques within Excel to uncover patterns, trends, and correlations in data, providing valuable insights for decision-making.
Predictive Modeling: Capable of building predictive models using Excel's built-in tools or integrating with external statistical packages to forecast trends and outcomes.
Dashboard Development: Expertise in designing dynamic dashboards and interactive reports in Excel, allowing stakeholders to explore data and gain actionable insights intuitively.
Data Visualization: Proficient in creating compelling visualizations, including charts, graphs, and heatmaps, to effectively communicate findings and trends to diverse audiences.
Problem-Solving: Demonstrated ability to tackle complex business problems using data-driven approaches, identifying opportunities for process optimization and performance improvement.
Collaboration and Communication: Effective communicator with the ability to collaborate cross-functionally and convey technical concepts to non-technical stakeholders, fostering alignment and driving informed decision-making.
Experience:
Utilized Excel to analyze sales data and identify key market trends, resulting in a 15% increase in revenue for the company.
Created dynamic dashboards in Excel to monitor key performance indicators (KPIs) and track project milestones, improving project transparency and decision-making.
Conducted A/B testing analysis using Excel to evaluate the effectiveness of marketing campaigns, leading to a 25% improvement in customer engagement.
Education:
Bachelor's/Master's degree in Computer Science
Experience
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data Analyst (Mar, 2021
–Present) at Flexsin Technologies
Strong proficiency in programming languages such as Python or R, along with experience with libraries such as pandas, NumPy, scikit-learn, or TensorFlow.
Solid understanding of statistical methods and techniques, as well as experience with data visualization tools.
Hands-on experience with machine learning algorithms and frameworks.
Excellent problem-solving skills and attention to detail.
Fee details
₹1,000–20,000/day
(US$11.79–235.82/day)