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Skills

  • Python
  • Analytics
  • Data Analysis
  • Data Management
  • Machine Learning
  • Management
  • Modeling
  • Natural Language Processing
  • NLP
  • PL/SQL
  • Spark Mllib
  • SQL
  • Algorithms
  • Boost
  • Cluster Analysis

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Services

  • Data Scientist (ML,NLP, DL) using Python

    $10/hr Starting at $50 Ongoing

    Dedicated Resource

    Data scientist with 7.3+ years of total experience and 4 years of relevant experience in data science. Very good at Statistics, Supervised and Unsupervised Machine Learning Algorithms. •Working Skills...

    AlgorithmsAnalyticsBoostCluster AnalysisData Analysis

  • Powerbuilder Development and Support

    $10/hr Starting at $100 Ongoing

    Dedicated Resource

    Having very good knowledge on various versions of Powerbuilder 6.5, 9, 11, 12, 12.5 and 2017. Implemented many production based applications using powerbuilder. Very good knowledge on deployment of powerbuilder...

    HealthInsurance ConsultingManufacturingMicrosoft WindowsOracle 10g

  • Data Scientist Trainer (NLP,ML,DL)

    $10/hr Starting at $100 Ongoing

    Dedicated Resource

    Providing training for DataScience Enthusiast and helping in clearing Interviews on Statistics, Machine Learning, Deep Learning and Natural Language Processing (NLP) using Python. Data scientist with...

    AnalyticsData AnalysisData ManagementMachine LearningManagement

About

Data Scientist: Ready to provide service, Training, development of ML, D & NLP models using python.

I have 7.3+ years of experience in design and developing the Client Server applications and also building the Machine Learning, Deep Learning and NLP models.
Passion to train Datascience enthusiast and making them to develop their own models.
Sharing the knowledge on Practical Implementations and improving the confidence levels to face the Interviewer.
Developed end to end predictive models on NLP, Regression and Image Classification.
• Having hands on experience in machine learning, natural language processing (NLP), Deep Learning, latent topic modeling.
• Data Analysis (Basic graphs, Treating Missing value and Working with Continuous and
Categorical variables).
• Data Manipulation (Feature Engineering, Label Encoding/One Hot Encoding)
• Create Predictive Modeling using machine learning (Linear Regression, Logistic Regression, Decision Tree, Support Vector Machine, Naive Bayes, KNN (K- Nearest Neighbors), K-Means, Random Forest, Dimensionality Reduction Algorithms, Gradient Boosting.
• Good knowledge on Pandas, Numpy, scipy, Matplotlib, Seaborn, Scikit Learn, XGBoost, Keras, Tensorflow, NLTK/SpaCy, GloVe, Word2vec, OpenNLP, etc.
• Good knowledge on Descriptive Analysis.
• Analyze large data sets to provide strategic direction to the company.
• Good knowledge on Insurance, Health Care and Manufacturing Execution System domain.

Work Terms

4 hours a day, 1 hr 10$.