Data Science

DATA SCIENTIST

  • 0 Order in queue

  • 384 Views

  • Delivery Time 1 Month
  • Response Time 5 Hours
  • English Level Fluent

Description

  • Anomaly & Emergent Behavior Detection in real-time.
  • Saved a lot of computing and human resource spent on anomalous data
  • Used pretrained embedding like bert, glove and pre-trained models like spacy to train and detect PII fields.
  • Trained a NLG (Natural Language Generation) model to generate data quality rules.
  • Founded startup which summarises news in 60 words for arabic users.
  • Grew company from idea to a user base of 10k.
  • Developed a sophisticated language model to summarize arabic news at scale.
  • Built a competent team of developers and digital marketer from scratch and trained them.
  • Lead the product design, development team and Marketing Planning.
  • Applied statistical modelling and data mining techniques to understand and predict app build deployment behaviour.
  • Understand business needs and requirements to translate into conceptual designs
  • Developed language model for topic extraction
  • Maintained operations data from across the organization in hadoop data lake.
  • Involved in developing and testing of the ETL strategy to populate the data in the dashboard from various source systems.
  • Analyse covid-19 effect on ANZ’s operation and transactions for situation management.
  • Developed MapReduce jobs in Python for log analysis, analytics, and data cleaning.
  • Work with product managers to formulate the business problem.
  • Built crop detection capabilities at scale using time series, multi-spectral and phenology features derived from remote sensing data
  • Applied advanced machine learning models like CNN’s, RNN’s for crop detection, yield estimation and anomaly detection to improve the capabilities of detecting closely matched crops, inter-cropping, mixed-cropping and small farm sizes.
  • Worked on creation of curated and cleaned crop signatures to detect crops at plot to state level while being region agnostic
  • Fused multi-sensor satellite data for improving historic data analysis capabilities
  • Crop stage prediction using time series forecasting and Recurrent Neural Networks
  • Complete Machine learning development lifecycle using mlflow and aws sagemaker for model training, testing and deployment.
  • Recommendation systems: Customization stage, order cart stage and personalization for customers. Increased business by 10-15%.
  • Assume ownership and work continuously to improve them.
  • Deep Learning for Sentiment Analysis, Intent Analysis, Entity Extraction, Text Classification, Semantic Similarity
  • Derived a novel way to quantify, combine and productionized
  • automated dish-tag creation
  • dish-dish similarity
  • customer-dish similarity
  • Created and maintained gcloud backend and data pipeline.
  • Build, test, deploy and validate recommendation engines and other ML models
  • Designing and tracking new KPIs and implementation of smart algorithms.
  • Skills:
  • R
  • Agile Methodologies
  • Strategic planning
  • ADF
  • SLA
  • Python
  • Hive
  • Sagemaker
  • Machine Learning
  • Elasticsearch
  • Databricks
  • Data Wrangling
  • NoSQL
  • Mlflow
  • Data Visualization
  • Tableau
  • Pyspark
  • Image Processing
  • Flask
  • Model Deployment
  • Airflow
  • SQL

About The Seller

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Starting From
Service charges $0.00

Ref #: 6284

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