Sonam Tiwari

Worked on NLP for information extraction from invoices of different file formats using spaCY. Automated helpdesk using Python and NLP techniques. Applied Deep Learning techniques like Pytorch and tensorflow for information extraction from scanned PDFs. Built standalone modules for invoice information extraction. Responsible for generating SKU Recommender System for JnJ India using Logistic Regression, working extensively with AWS. Daily tasks include data manipulation and EDA through Pandas in Python.

Worked in Credit Card fraud detection team. Responsible for implementing different techniques for Exploratory data analysis and applying different Machine Learning algorithms to find insights from the data.

Performed feature engineering and exploratory data analysis. Performed statistical tests to check relevance among features. Mined and analyzed data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies. Applied different Classification techniques such as Logistic, Linear, Decision Tree, Random Forest, and SVM. Used predictive modeling to increase and optimize customer experiences and revenue generation.

Worked on Allscripts-HIT project, implementing MU 2014 components on the client's server. Worked on SQL and Unix servers. Monitored and supported SFDC CRM tool for end users.

Provided complete IT Infrastructure to HarleyDavidson users globally. Worked on Active Directory, ITIL, and Service Now, handling P1 and P2 incidents within the given SLA.

Jodhpur, India