Anirudh Murali Email & Phone Number

Hyattsville, Md, Us

United States

• Collected and synthesized extensive environmental datasets from diverse online sources and real-time data from Google Cloud Platform (GCP) using SQL query for early wildfire.• Performed cleaning and preparation of the dataset using Python in Google Collab, preparing it for predictive analytics and wildfire risk assessment. • Researched multiple predictive models, including Random Forest and ARIMA, and implemented them with an accuracy of 78%.• Investigated emerging technologies like sensors and drones, collaborating with experts to design preventive measures for wildfire risks. • Developed and implemented data visualization dashboards in Tableau. Providing stakeholders with insights into wildfire patterns and trends.• Collaborated with cross-functional teams using GitHub and Google Collab to streamline workflows and ensure accurate data sharing. • Contributed to the project’s strategic planning by providing quantitative data insights that supported ecosystem protection efforts. Environment: Python, SQL, Google Cloud Platform (GCP) , GitHub, Google Colab, Jira

United States

• Collaborated with clients to gather and analyze requirements from 100+ PDFs, ensuring customized document management and accurate information retrieval. • Developed a document management application using Llama API, enabling efficient uploading and querying of various document formats, enhancing user productivity. • Led the LLM training process in Google Colab using Python with tools such as PyTesseract, PyMuPDF, PyPDF2, and PDFPlumber for text extraction and preprocessing. • Cleaned and preprocessed data using tokenization, stopword removal, and embedding, optimizing query handling and improving system performance. • Conducted research on large language models (LLMs) and explored different model implementations, contributing to improved system capabilities. • Implemented Llama for next-word prediction and text analysis, achieving 77% accuracy in document-specific queries. • Performed research and testing with 50+ clients, documenting findings in reports and visualizing data through interactive dashboards. • Utilized GitHub for version control and Jira for project management, ensuring smooth collaboration and tracking project progress. • Explored GPT model but opted for Llama due to API challenges and better scalability for the project. • Presented analytical insights and recommendations in clear, actionable formats, facilitating data-driven decision-making for stakeholders.Environment: Python, Google Colab, PyTesseract, PyMuPDF, PyPDF2, PDFPlumber, Llama API, GPT, GitHub, Jira

Mumbai, Maharashtra, India

• Increased sales revenue by 20% through actionable insights provided to the sales team via interactive Tableau and Power BI dashboards, visualizing over 1 million data points.• Implemented an ETL pipeline for client reporting and analytics using Oracle Data Integrator, SAP Business Warehouse, and SAP Business Objects, improving data processing efficiency.• Led a team of 2 data analysts in managing 1TB of weekly data for a pharmaceutical client, generating and refining reports using SQL within SAP Business Objects.• Automated server monitoring using Splunk, reducing observation time by 75% and streamlining data operations.• Migrated data to AWS, optimizing storage and access capabilities for improved data management and scalability.• Resolved 100+ ServiceNow tickets quarterly, ensuring prompt resolutions and conducting comprehensive root cause analysis in collaboration with cross-functional teams.Environment: Tableau, Power BI, Oracle Data Integrator, SAP Business Warehouse, SAP Business Objects, SQL, Splunk, ServiceNow

Mumbai, Maharashtra, India

o Installed and handled operational/maintenance issues of EPBX systems for various corporates.o Trained to gather customer requirements and pitch new ideas to the clients during client meetingso Installed and configured various security cameras and a wide range of video door phones

Master'S Degree, Business Analytics, 3.73

Activities and Societies: Core member of SMSA organizing committeeRelevant Courses: Data Processing & Analysis in Python, Database.

Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering, 3.13

Activities and Societies: - Completed one-month hands-on session on ’Android Application Development’ held at TCET (2018) - Attended.