RESEARCH INTERESTS

  • Artificial Intelligence    

  • Natural Language Processing             

  • Deep Learning

  • Machine Learning

  • Neural Networks           

  • Information Retrieval    

  • Data Mining                       

  • Probability                                  

  • Statistical Modeling         

  • Data Analytics               

  • Predictive Modelling       

EDUCATION

MASTERS DEGREE IN DATA SCIENCE AND ENGINEERING

UniversityBirla Institute of Technology and Science (BITS Pilani, India)

Graduated with Distinction.

Courses undertook: Data Mining, Machine learning, Deep Learning, NLP & Text Mining, Information Retrieval, Big Data Systems, Intro to Data Science, Mathematics for Data Science, Data Visualisation, Statistical Mathematics, Algorithmic Foundation for Data Science

CGPA: 9.083/10 

Semester 1: 8.12/10,

Semester 2: 8.63/10,

Semester 3: 9.083/10,
Master's dissertation Topic: Mixed-mode Federated Learning Cloud Based Systems

UNDERGRADUATE BACHELOR'S DEGREE IN COMPUTER SCIENCE AND ENGINEERING

UniversityWest Bengal University of Technology, India

Courses undertaken : All computer Science related courses

CGPA: 8.49/10 

Rank: 4 out of 70

PROFESSIONAL WORK EXPERIENCE

SENIOR DATA SCIENTIST, WIPRO LIMITED

Building Search Engine for healthcare with medical documents using NLP & Text mining for Established AI Products using Python.

SENIOR DATA SCIENTIST, IRIS SOFTWARE INC.

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

AWARDS & ACHIEVEMENTS

REFERENCES

Feel free to contact me for more information regarding my research, career experiences and for new opportunities.