Data Analyst Power Bi

Prashanth Reddy G bata Analyst

= **************@*****.*** X, 913-***-**** Q Kansas, USA ffl LinkedIn Profile

Results-driven Data Analyst with 3 years of experience utilizing SQL and Python to extract, transform, and analyze complex data sets. Skilled in creating data visualizations and reports using Tableau and Power BI to drive business insights and inform strategic decision-making. Proven ability to optimize data collection processes, ensuring enhanced accuracy and efficiency. Effective collaborator with cross-functional teams to identify and address data- driven opportunities, leveraging strong communication and interpersonal skills. Seeking a dynamic organization where I can apply my analytical expertise to drive growth and innovation. Skills

Languages: Python, SQL, R, NoSQL, Java, JavaScript Databases: MS-SQL, MySQL, Redshift, Snowflake, Big Query, PostgreSQL, MongoDB Frameworks & Tools: NumPy, Pandas, Matplotlib, Flask, Django, Git, GitHub, Docker, CI/CD, Statistics, HTML, CSS, Agile, SAS, Hadoop, Hive, PySpark, ggplot2, Snowflake Data Analysis /ETL tools: Power BI, Tableau, Sterling Integrator, Data Bricks, MS Excel, Google Analytics, Machine Learning, Data Modeling, Data Mapping, Data Mining, Data Extraction, Transformation Professional _E .

Data Analyst, Civis Analytics 08/2023 - Present Remote, USA

¢ Utilized data preprocessing techniques with Python libraries like Pandas and NumPy, and feature engineering with scikit-learn and TensorFlow, leads 30% improvement in risk assessment accuracy and informed decision-making.

« Leveraged Python scripting and tools like Pandas, Open Python, and XLRd to automate data extraction and transformation, saving over 100 hours and showcasing proficiency in Python scripting and automation tools.

« Employed random forest ensemble learning with scikit-learn and advanced cross-validation techniques to optimize predictive models, achieving a 10% accuracy boost and showcasing expertise in machine learning.

¢ Applied neural network models using Keras and TensorFlow for non-linear pattern recognition, resulting in a 15% accuracy increase and highlighting expertise in deep learning for precise risk assessments.

« Integrated Python-based predictive models with Power BI using the Power BI API and Python libraries like pyodbc and pandas, leading to a 25% increase in stakeholder engagement through real-time risk visualization.

¢ Implemented Google Analytics and MS Excel to track and analyze user engagement and behavior, inform data- driven decisions, optimize the risk assessment process, and ensure data quality and consistency through data visualization and reporting.

« Developed Python-based tools for system requirements gathering, emphasizing version control (Git) and adherence to software development best practices for seamless alignment with regulatory standards and business goals.

¢ Utilized ETL (Extract, Transform, Load) processes to streamline data integration and processing, ensuring data consistency and accuracy across systems.

Data Analyst, Grabthesite 05/2019 - 12/2021 Remote, India

« End-to-end Managed data processes, ensuring the integrity of 10,000+ data points monthly with a 99% accuracy rate, thereby guaranteeing the reliability and precision of data-driven insights and strategic decision-making.

¢ Utilized advanced statistical methodologies and Python libraries to drive a 15% revenue increase and a 10% reduction in operational costs through data analysis and strategic recommendations.

« Optimized database processes using SQL, resulting in a 20% improvement in operational efficiency and enhancing scalability and resource utilization across the organization.

¢ Collaborated with cross-functional teams to translate business objectives into data-driven solutions, leading to a 25% increase in customer satisfaction through actionable insights and tailored recommendations.

« Developed dynamic Power BI dashboards and reports, empowering executives with real-time analytics and accelerating decision-making processes by 30%.

« Implemented data cleansing and validation protocols, reducing data errors by 20% and ensuring high-quality, consistent datasets ready for in-depth analysis.

Education

Master of Science, University of the Cumberlands 05/2024 Williamsburg, USA Information Technology

Bachelor of Technology, Guru Nanak Institutions of Technology 09/2020 Hyderabad, India Mechanical Engineering

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