About Me

• Designed and Developed the Artificial Intelligence Pipeline for the project using Dockers , MongoDb and Python- AI techniques. Developed and deployed Flask based REST API for the pipeline.

• Hybrid based approach for...d and deployed Flask based REST API for the pipeline.

• Hybrid based approach for the NER Extraction using Spacy which increased accuracy from 33% to 66% on the Pubmed Data.

• Created and upgraded Metamap for Drugs and Events extraction for Pharmaco Vigilance.

• Automated the Dataset creation and extraction from Pubmed for case processors development and testing.

• Created the text corpus for analysis using PDFminer, Camelot, NLTK, Spacy and Metamap for 10000 docs.

• Designed and Developed the Accuracy Testing dashboard for results assessment.

• Developed Ensemble techniques using Polyglot , Spacy, NLTK and AllenNLP for NER extractions which increased the accuracy from 66% to 85%.

• Developed the rule based Age extraction and Duration Extraction using the Levenstein Distance using proximity search.

• Developed the String search algorithm using Cosine Similarity for extraction of drugs unidentified by Metamap.

• Created Use case for AI Driven Projects for Breast Cancer detection, Depression identification and Diseases using the Blood cells using DL techniques – Tensorflow and Keras.

• Also working on innovation of the 3D Visualization using the VR tag teaming with the AR/VR team using Matplotlib, Bokeh, Plotly for any dataset.

• Provided Trainings in Python and AI concepts for new joinee in the team.

• Lead a team of 12 people for Python AI development and support.

• Created AI model for the Imbalanced set using the Smote technique for limited data.

• Created the Normalized Dataset creation for Adverse Event -Drug identification to remove the Bias towards drug which increased the accuracy to 70% for Suspect Drug identification.

• Developed functions using Numba for Parallel Processing , Cached processing for improved performance.

• Created Dask and Pandas Chunk for Parallel reading of the Dataset from 3 different servers.

• Developed Interactive Visualization techniques for Telecom data using Datashader and Holoviews for Large Datasets.

• Created Annotated Data for the Training data using SODA(Solr Based Data Annotator).

• Implemented Various Natural language processing algorithms and ML algorithms using SKlearn, TensorFlow and Keras for text processing.

• Aware of various ML algorithms – Linear Regression, Logistic Regression, KNN, K-Means , Decision tress, Clustering. PCA, Gradient Descent. DBSCAN Clustering, Content Based Recommendation .

• Developed insights from Telemetric data which gave rise to safe driving app for the insurance company based on driving attributes of the Driver which resulted in 30% increase in customers in 6 months for US based client.

• Worked in the client facing environment for Product design and development is US.

• Contributed to Interview panel for hiring in Python and AI domain within organization.

• Awarded the Best Idea for Smart AI based Crawler in Accenture. Participated in Hackathon and actively research on approaches by Kaggle experts and Github gurus.

• Actively involved in Product development and consultancy role within the organization.

• Developed applications for Insurance company and automated Letter Generation using HP Dialogue and VBScript.

• Started my career in Mainframes for Bank in Production support in Mainframes.

• Organized and participated in the NGO activities and sports event. I have won Table Tennis and Snooker competition within the Team and Accenture.