Accomplished diverse training projects encompassing Python, NLP-based Clustering, Computer Vision, and Web Scraping, delivering all projects on time. Recognized with an Efficient Employee Award for consistently meeting project goals. Worked on CNN project to classify fruits images using transfer learning. Written a production grade code for building a Convolutional neural network(CNN) using transfer learning approach on pretrained VGG-16 model, and Mobile-Net model to classify fruits images. Worked on NLP project for doing sentiment analysis on companies policy documents. Created a python package called assesment-creator to automate the task within the organization thus reduced the manual working hours. Worked on Project of Tableau Dashboards for North-carolina government which I used tableau prep flow builder for creating dataflows and finally build the dashboard for the same.

Facilitated learning and growth as a mentor and instructor, delivering engaging lessons and practical examples to students on Python programming, machine learning, statistics, and Tableau. Developed and implemented a comprehensive curriculum for Python programming, machine learning, statistics, and Tableau, catering to students with diverse backgrounds and skill levels. Mentored and coached junior data analysts, providing guidance on best practices, troubleshooting techniques, and code review to facilitate their professional growth and development. Mentored and guided students in their learning journey, providing individualized support and feedback to help them grasp complex concepts and apply them effectively. Designed and conducted hands-on coding exercises, projects, and assessments to assess students' understanding and proficiency in Python programming, machine learning, statistics, and Tableau. Introduced and implemented MLOps methodology for the first time in the organization using MLFlow.

Completed generic training in MySQL, Python, Statistics, Tableau, and Machine Learning. Cleaned and formatted Big Mart Sales data with over 8524 rows and 12 columns and made it ready for analysis. Developed interactive dashboards to visualize Key Performance Indicators (KPIs) and provided business recommendations. Build and Compare different Machine Learning Models such as Linear Regression, Lasso Regression,SVM, and Random Forest to Predict Sales of the different stores of Big Mart.

Day to day creating and maintaining Clients data in SAP hana database in Production, Development and Quality System for smooth business function. Prepared BI dashboard in Tableau for tracking of monthly incidents, tasks and change request reported. This work improved the tracking of different task assigned to the different teams and reduced the SLA time by 30%. Worked closely with the engineering and business team using scrum/agile methodology Creating SAP BI objects, Providing necessary roles and authorizations to clients and monitoring process chains.