Anvithapal Reddy Pingili Email & Phone Number

California, United States

California, United States

• Create clear, engaging, and actionable reports, visualizations, and dashboards using tools like Tableau, Power BI, or other visualization software, effectively communicating findings to both technical and non-technical.
• Utilize social media analytics tools (e.g., Brandwatch, Sprinklr) and NLP techniques to translate qualitative data from product reviews, social media mentions, and customer feedback into actionable insights.
• Developed and optimized ETL processes using… Show more
• Developed and optimized ETL processes using Talend and SSIS, improving data quality, coherence, and ensuring timely availability for downstream systems and stakeholders.
• Engineered data pipelines with Python and SQL, automating ETL processes and integrating machine learning models to predict and optimize key business metrics.
• Enhanced MySQL database performance through indexing, partitioning, and query tuning, improving data retrieval efficiency, scalability, and overall database effectiveness.

Fairfax County, Virginia, United States

• Work with large data sets using SQL to query, manipulate, and analyze structured and unstructured data, ensuring data integrity and accuracy across projects.
• Collaborate with cross-functional teams, including product, marketing, and customer experience, to deliver data-driven stories and insights, tailoring presentations and findings to meet the needs of diverse stakeholders.
• Led 10 group study sessions, fostering collaborative learning and strengthening peer-to-peer interaction among… Show more
• Led 10 group study sessions, fostering collaborative learning and strengthening peer-to-peer interaction among students
• Evaluated student performance via quizzes and assignments, delivering actionable feedback to improve their understanding and skills.
• Created supplementary instructional materials to support student learning and clarify complex topics, enhancing comprehension.

Hyderabad, Telangana, India

• Engineered data pipelines with Python and SQL, optimizing ETL processes to efficiently handle and transform large-scale customer datasets, enhancing personalized recommendations on the Customer Insights and.
• Collaborated with data scientists to integrate machine learning models into PySpark workflows, enabling real-time predictive analytics and decision-making, while implementing data validation and quality checks to.
• Collaborated with data scientists to integrate machine learning models into PySpark workflows, enabling real-time predictive analytics and decision-making, while implementing data validation and quality checks to.
• Administered and optimized MongoDB databases, designing efficient schemas and complex queries to ensure seamless data storage and retrieval, supporting real-time insights for over 1 million customers.
• Developed detailed and visually compelling financial visualizations using Matplotlib and MS Excel, effectively conveying key customer trends and performance metrics to stakeholders.
• Processed and analyzed large volumes of customer data with Hadoop and Pig, significantly accelerating insight generation for targeted marketing campaigns.

India

• Analyzed complex datasets from the Fraud Detection System using Python, leveraging NumPy and Pandas to uncover critical insights that fueled data-driven decision-making across the organization.
• Crafted SQL queries in MySQL to efficiently retrieve, manipulate, and transform large volumes of fraud-related data, enabling comprehensive reporting and in-depth analysis.
• Implement data validation and quality checks using GCP services like Cloud Composer and Data Catalog. Continuously optimize… Show more
• Implement data validation and quality checks using GCP services like Cloud Composer and Data Catalog. Continuously optimize workflows for better performance, ensuring that the data is accurate, reliable, and accessible.
• Develop and maintain scalable, high-performance data pipelines on Google Cloud Platform (GCP) using services such as BigQuery, Dataflow, and Cloud Storage. This involves data ingestion, transformation, and integration.
• Engineered interactive Power BI reports and dashboards by integrating data from multiple sources, effectively communicating insights on fraudulent patterns to stakeholders, enhancing visibility of key metrics and.

Master'S Degree, Data Analytics Engineering

Bachelor Of Technology - Btech, Computer Science