Interested to pursue a PhD in Natural Language Processing, Deep Learning, Machine Learning or in a related area

Worked in healthcare, bioinformatics project to identify candidate driver genes in a cluster of gene regulatory network using Python.

SENIOR SYSTEMS ENGINEER, INFOSYS LIMITED

Worked on end to end Natural Language Processing Pipeline Techniques for text mining, & document similarities using Python.

IT SKILLS

• Text Mining and NLP: Document Similarity, Language Modelling, Word2Vec, Machine Translation

• Healthcare: Cancer Genomics, Bioinformatics, Gene Regulatory Network architecture

• Programming Languages: Python, R, Objective-C, C, Java 

• Deep Learning: Neural Network, CNN, RNN, GAN, Transformer (Attention) architecture, Chatbot, Image classification, 

• Machine Learning: Regression, Classification, Clustering, Tree Based Algorithms, Bagging, Boosting

• Data Science: Data Pipeline Modelling, Data Pre-processing, Data Cleaning, Data Visualization, IBM Watson WML

• Tools and Libraries: Spacy,  Pandas, Sklearn, PyTorch, Keras, Jupyter, Anaconda, Numpy, Seaborn, SQL, Cloud DevOps

PROJECTS EXECUTED

• Sequence Alignment (Language: Python) - Used Dynamic Programming in healthcare for genomic sequence alignment from the input data

• Branch Correlation in Programming Paradigm (Language: Python) Skills used: Data-driven Programming.

• Utilized ROSE compiler to instrument given program to produce dynamic outcome (T/F) for conditional branches

• Tririga Building Assistant (IoT - TRIRIGA Assistant) : (Language: Python)  - Worked on the Anomaly Detection model that runs in every 15 min gap from CISCO DNA sensor data, USA

• Worked on a Guest KPI model that runs everyday to predict which floor has guest(s) using Python

• ML algorithms: Classification, regression, clustering, ensemble methods, dimensionality reduction

• Deep learning: Neural Net(NN), RNN,LSTM, GRU, optimization techniques

• Python libraries: Numpy, Pandas, Sklearn

• Computer Vision library: Pytesseract, CV2

• Featurization techniques: feature extraction, transformation, Bag of Words, TFIDF, PCA(dimensionality reduction), and selection

• Pipelines: Spark, MLLib library for constructing, evaluating, and tuning ML Pipelines on Spark

• AI methodologies & NLP: Spacy & NLTK components

• Research papers: LeNet-5, BERT, Word2Vec, BioBERT, Clinical BERT, Attention mechanism, Transformer

KEY ACCOMPLISHMENTS

• Presented ‘Attention Is All You Need’ Paper at Portland State University, USA 

• Participated in the RegML 2020 Conference, University of Genova, Italy 

• Completed Data Analytics Global Internship, organized by Taken Mind and United Nation, UK