Mukta Mani

• Developed NLP based Solution for Healthcare Practitioner (HCP )email Monitoring system under ethics and compliance team.
• Unsupervised Sentiment analysis on customer feedback data to understand market needs and consumer need of different drugs.
• In-Processing of developing document summarization using NLP models to create automated summary of the documents for better and quick insights.

Tools: NLP, Deep Learning,Transfer Learning,Bert,Python

• Anheuser‐Busch InBev
  In‐Transit Damage prediction to assess shipments at high risk of getting damage and proactive measure to avoid damages for high risk shipments and reduce damage cost.
• Develop a solution for OTC team for automatic reconciliation end to end.

Random Forest, CatBoost, XgBoost, Ensemble Algorithms, OCR,Fuzzy Logics,Python

• Repair repeat prediction model for high speed internet customers
  using Machine Learning Algorithms to optimize the financial loss
  and improve customer experience.
• Applied statistical and algebraic techniques to interpret key points from gathered data.
• Compiled, cleaned and manipulated data for proper handling.

Tools: Support Vector Machine, Logistic Regression, Random Forest, LightGBM,XgBoost, Ensemble Algorithms, Python

• Project 1:
  Synthetic Data Generation (SDG) is patented research and development
  project which aims to develop an efficient welltrained
  algorithm to generate the synthetic data statistically
  closely matching to original data.
  AutoEncoder, Deep Learning, Python, Keras, Tensorflow, Pandas, Numpy
  Project 2 :
  Identify, develop and deliver life‐changing therapies to people
  living with rare disease Zellweger Syndrome Disorder (ZSD).Its
  aims to improve patient access, standardize care models, and
  establish best practices in the diagnosis and treatment of rare
  diseases.
  Natural Language Processing , Text Analytics , Word2Vec , Logistic Regression
  SVM , Random Forest , KNN , XGBoost , Stacking

• Detecting the intensity of tropical cyclones from Satellite Imagery
  using Convolutional Neural Network.
  Convolutional Neural Network, Computer Vision, Deep Learning, Python,Tensorflow, Keras, Opencv