Sanchari G.

I am a Data Science practitioner with domain knowledge in Python with a profession experience of 2 years 9 months in the related field in one of the leading MNCs and a US-based start-up company. I have completed my [login to view URL] in IT in 2017 and PG Diploma in Data Science in 2019 and have been doing customized projects ever since. I would like to be given an opportunity in the freelancing world, so that I can prove my skillset and make a successful delivery. Experience: o Full-stack development of the Anomaly Detection of the customers making sales from the platform of the in-house product ‘Cloudhiti’ using Z-score approach and Logistic Regression in ML and Python Flask and Angular JS in development. o Full-stack development of the Text Summarization tool taking URL as input and summarizing the content from the URL and providing 5-7 lines of summarized output using Term Frequency-Inverse Document Frequency as the underlying algorithm for the in-house product ‘Cloudhiti. o Python-Django developer for the implementation of metrics page functionalities of the in-house product ‘Syra’. o Churn Analysis of customers using Decision Tree and Random Forest for the in-house product. o Recommendation Engine using Collaborative filtering among users for the client project to enable user-to-user similarity. o Floor plan generation using GAN model AND Pix-to-Pix model from users’ input for the client project using openCV. o Data Pre-processing and engineering using Logistic Regression for manufacturing data of the client project. o Data pre-processing and modeling of the time-series data using FbProphet and LSTM bench-marking for the client project. o Data Analysis of Security Metrics to assure the compliance. o End-to-end development of Security Merics using Python Flask and Javascript starting from requirement analysis, prioritizing the identified information needs based on security criteria , data collection from stakeholders, creation and maintenance of metrics and analyze the data and evaluate the performance and effectiveness. o Automation of the data profiling report of critical metrics using Python scripting.