Pathik Patel Email & Phone Number

New Brunswick, Nj, Us

• Developed comprehensive templates and reusable modules for chatbot maintenance, thoroughly documenting design specifications; increased system reliability by 30% and decreased troubleshooting time by 35%.• Designed and implemented a Kubeflow/Kubernetes-based machine learning training and serving platform for a Fortune 100 manufacturer.• Developed enterprise-level Business Intelligence (BI) solutions using Tableau.• Optimized GCP data storage and processing pipelines for AI, GenAI, and ML services across production, development, and testing environments, using SQL, Spark, Python, and MongoDB; reduced data retrieval times by 35%.• Created an OCR application for automating order and invoice processing using Python, Tesseract OCR, GCP Vision API, and Automation Anywhere; decreased human error by 85% and processing time by 40%.• Utilized Azure Machine Learning Studio, Azure Databricks, and other Azure machine learning services.• Created Hive tables and populated them with data; linked the Hive database with Jupyter and PyCharm.• Engineered data pipelines and computational algorithms to optimize the storage and retrieval of genomic data, cutting analysis time by 40% and enhancing visualization clarity for over 50 researchers.• Collaborated with Solution Designers, Test Analysts, and UX teams for process planning and release, creating templates, reusable lookup values, and generic modules for efficient development and maintenance.• Automated end-to-end model refresh processes using COSMOS, GenAI, Azure Data Factory pipelines, Azure ML, MLOps, and PowerShell scripting; reduced manual intervention time by 80% and improved model update frequency by 50%. • Experience with Azure Machine Learning Studio, MLops, Azure Databricks, ML Flow, Pyspark and other Azure machine learning services.

Long Beach, Ca, Us

Working on 1) Factors affecting the probation2) Consumer behavior during Covid-19

• Independently and collaboratively executed the full analytics project lifecycle, encompassing data extraction/preparation, design, implementation of scalable machine learning solutions, and thorough documentation of results.• Extracted and prepared data for model building from the AWS Snowflake Database, ensuring data quality, consistency, and integrity through data cleaning and variable transformation using Pandas and NumPy.• Conducted statistical analyses to identify peak and off-peak periods for rate-setting purposes.• Trained machine learning models on Kubernetes (K8s) using Nvidia NGC containers and Docker for resource allocation• Developed and managed data pipelines across GCP, Azure, and AWS platforms.• Built REST APIs with the Flask framework to deploy machine learning models in production environments using Docker and Kubernetes.• Accelerated production timelines and improved outcomes by applying transfer learning with custom-built classifiers in PyTorch.• Worked with various data formats, including JSON and XML, to implement machine learning algorithms in Python.• Migrated data from legacy tables to HDFS and HBase tables utilizing Sqoop.• Researched and applied Reinforcement Learning and control techniques using TensorFlow and Torch, and developed machine learning models with Scikit-learn.• Analyzed social media data using text analysis and the Naïve Bayes algorithm, producing actionable insights and creating word clouds to gauge customer sentiment, leading to a 25% boost in targeted marketing effectiveness.

Bengaluru, Karnataka, In

• Generated 50+ reports in Power BI using the SSAS Tabular model via the Analysis connector.• Developed over 100 database objects, including Tables, Views, and Stored Procedures.• Executed ETL processes to migrate data across 10+ homogenous and heterogeneous systems using SQL.• Scheduled and extracted data into the Tableau Data Engine for over 20 projects.• Published and shared 50+ reports with the department using Tableau Server.• Created HBase tables to store multiple data formats as a backend for 5+ user portals.• Built and analyzed datasets using R, SAS, Matlab, and Python for 15+ analytical projects.• Developed and published 30+ customized interactive reports and dashboards, scheduling them on Tableau Server.• Hands-on experience in working with Flume to process Real-time data processing.• Created 20+ Hive tables to store processed results in a tabular format.• Designed technical solutions for real-time analytics using HBase for 10+ use cases.• Created 40+ reports using SSRS from OLTP and OLAP data sources and deployed them on the report server.