Ankit Srivastava

To come up with ML solutions for the company and automate manual processes of existing software. I also have to present valuable insights from the data to the technical and non-technical teams. The first project I worked on was ITScope Catalogue Automation, where all the products registered by our clients were automatically assigned using ML model to one of the 142 categories provided. The final model was built using XGBClassifier which achieved an accuracy of 92% with an 82.3% of F-Score.

Built a multimodal application for Language Learners that displays the most relevant images for the complex words identified. Technologies: Python3, PyTorch, Transformers (RoBerta), Bi-LSTM, Tensorflow, CNN, Sklearn, Pandas, Nltk, Numpy Supervised machine learning and active learning strategies to continuously improve the automatic classification of user comments in the domain of online journalism and app stores. Technologies: Python3, PyTorch, BERT, PostgreSQL, SQLite, Docker, CUDA, Flask, npm

Other than requirement gathering, analyzing functional specification, development, and maintenance of the Hospitality management system, I have created the machine learning model for Customer Market Segmentation using Hierarchical Agglomerative clustering algorithms and achieved a 0.37 Silhouette Score. Technologies: Python, Sklearn, Pandas, Numpy, Git, Progress 11.1, ADM, and GUI

I have worked in 3 different domains including ERP systems, Claim Management Systems, and Transport Management Systems. I have been involved in client interaction, requirement analysis, Software Development, Unit testing, and providing support. Achieved experience in development using Agile methodology. The technologies I have worked with include 4th Generation language (OpenEdge), Unix, Cronjobs, shell scripting, RDMS, Microsoft and Telerik controls.