Data scientist, Machine learning, Deep learning, Computer vision, NLP

◑    Data science / Machine learning: Please refer "Machine learning specialized profile" for specific project details and know-how.

◐ Computational Linguistics / Computer vision : Please refer "Deep learning specialized profile" for specific project details and know-how.

Recent projects:

• Prototype development - Agriculture startup using computer vision
• Product development - Education tech startup: SOTA - State of the art highly engaging assistant with humanly conversations for researchers
• NLP: To detect hacking threats with NLP analysis for a gaming industry startup  
• Data science POC : stock price prediction - (forecast and nowcast) using Echo state networks
• Custom Spacy NLP pipelines in bio medical and clinical domain
• Image classification - A. Textile patterns classification, B. Agriculture - plant disease detection
• Image segmentation - Healthcare 
• ML/DL Decision support system (chatbot) - a healthcare startup

Approach:

• Applying ML/AI/DL for the implementation of new concepts and ideas from various fields. 
• Assessing and providing the optimal solution using apt ML/DL libraries and tools for individual problem. 

Services:

• EDA / ETL to grab pulse of the data
• Data pipeline strategizing,
• Data mining  
• Statistical analysis 
• Introduce Machine learning (ML), Deep learning (DL) in existing products / services,
• Data-driven Decision support systems,
• Scientific research projects,
• Start up product design / development (UI/UX web development/ mobile app),

Hands on:
Multi-class Classification, Regression, Neural Networks (CNN, RNN, bi-directional LSTM), Recommender Systems, Support Vector Machines (SVM), K-Means Clustering and Principal Component Analysis (PCA), Reinforcement Learning, Natural Language Processing (NLP), Computer vision( 2d/3D classification, detection, segmentation, pose estimation)

DL libraries: 
TensorFlow, Keras, PyTorch, MACE, MXNet, fastAI, tflite

Databases: 
MySQL, Postgres, MongoDB, Grakn, Neo4js

Data wrangling, text mining, data analysis and data visualization  Tools:

Pandas, Dask, NumPy, Scikit-learn, MATLAB, Matplotlib, Seaborn, Plotly

Data pipelines - Active learning loops with: 
Prodigy, Label Studio, Label box, AWS lambda functions

NLP Services: 
Data scrapping, Parsing, Annotation, POS tagging, Stemming, Tokenization,
Named entity extraction, Text classification, Machine translation, Text summarization, Question and answers, Text generation, Sentiment analysis, Topic segmentation, Conversational chatbots

NLP Tools: 
Word2vec, Doc2vec, NLTK, Gensim, Scispacy, SpaCy 3 with transformers, Dialogflow, RASA, Google BERT, Open AI GPT, Scispacy, Biograkn

Computer vision services: 
Image Classification, Object Detection, Object counting, Image Segmentation, Human pose estimation

Computer vision Tools : 
OpenCV, MobileNet, Efficientnet, Inception, DarkNet , Faster R-CNN, UNet, SegNet, Mask R-CNN, DeepLab, TensorFlow, Pytorch, MACE, MXNet, YOLO, COCO, SSD, Openpose, HR net, Posenet,  Mediapipe, Detectron

Backend Tools:
Flask, Django, REST APIs

Product development / MVP or POC:
Web UIs, Flutter 

Industry focus:
Mental health, Fintech, Climate, Agriculture