Neha Pathak Email & Phone Number

As a passionate and detail-oriented Data Analyst, I thrive on turning raw data into actionable insights that drive business decisions. With a strong foundation in statistics, data visualization, and programming, I bring a robust skill set and an analytical mindset to every project I tackle.Key Strengths:Data Analysis & Interpretation: Proficient in identifying trends, patterns, and anomalies within large datasets, using tools such as SQL, Python, and R.Data Visualization: Expert in creating clear and compelling visualizations with Tableau, Power BI, and other visualization tools to communicate complex data insights effectively to stakeholders.Statistical Analysis: Strong background in statistical methodologies, hypothesis testing, and predictive modeling to support data-driven decision-making.Problem Solving: Adept at applying analytical techniques to solve complex business problems and improve operational efficiency.Collaboration & Communication: Excellent communicator with the ability to convey technical concepts to non-technical audiences, and collaborate seamlessly with cross-functional teams.My Approach:I believe in the power of data to transform businesses. My approach involves a blend of technical skills, creative thinking, and a deep understanding of business needs. Whether it's through enhancing customer experiences, optimizing operational processes, or uncovering new growth opportunities, I aim to provide impactful insights that drive success.Experience Highlights:Conducted comprehensive data analysis for [Your Previous Company], leading to a 20% increase in customer retention by identifying key churn indicators.Developed interactive dashboards for senior management, enabling real-time tracking of key performance indicators and more informed strategic decisions.Led a project to streamline data collection and reporting processes, reducing manual work by 40% and improving data accuracy.Utilized machine learning algorithms to predict sales trends, contributing to a 15% improvement in inventory management and cost savings.Tools & Technologies:Languages: SQL, Python, RVisualization: Tableau, Power BI, Matplotlib, SeabornDatabases: MySQL, PostgreSQL, MongoDBOthers: Excel, Google Analytics, SAS

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  Rajiv Gandhi Proudyogiki Vishwavidyalaya (Rgpv), Bhopal

  Computer Science