Data Scientist

Position :- Data Scientist

Location :- Franklin TN

Duration: 6+ Months

Onsite (No Remote/No hybrid)

• Technical Skillset (Mandatory)
  • Hands On Experience in Python EcoSystesms Pandas, Numpy, Scikit Learn
  • Experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing
• Technical Skillset (Optional)
  • Tableau, Big Data Ecosystem
• Role and Responsibilities
• Proficient in Auto- After Sales Domain.
• Data Science and Machine Learning, Supervised /unsupervised Learning
• Prepare Data - Loading Data - Data Visualization - Data Cleaning Data Mining-feature Selection
• Data Transforms - Evaluate Algorithms - Resampling Methods - Evaluation Metrics
• Model Selection - Algorithm Tuning - Ensemble Methods - Present Results - Finalize Model
• Linear Algorithms Linear Regression, Logistic Regression, and Linear Discriminant Analysis
• Non-Linear Algorithms CART Model, Decision Tree, Na ve Bayes and Support Vector Machine
• Evaluate the performance Split into Train and Test and K-Fold cross-validation algorithms
• Good hands on experience in Python EcoSystesms Pandas, Numpy, Scikit Learn
• Expertise in NLP Text Classification, Word Cloud, Term Document Matrix and Corpus,
• Expertise in NLTK Tokenizer, Tfidfvectorizer, Countervectorizer, Stemming
• 3 + years of experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing, Reporting Tool Tableau and BigFrame ETL Tool.
• Project Specific requirement (if any):
  • MS Degree in Computer Science or related Study

Skills : Technical Skillset (Mandatory) Hands On Experience in Python EcoSystesms Pandas, Numpy, Scikit Learn Experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing Technical Skillset (Optional) Tableau, Big Data Ecosystem Role and Responsibilities Proficient in Auto- After Sales Domain. Data Science and Machine Learning, Supervised /unsupervised Learning Prepare Data - Loading Data - Data Visualization - Data Cleaning Data Mining-feature Selection Data Transforms - Evaluate Algorithms - Resampling Methods - Evaluation Metrics Model Selection - Algorithm Tuning - Ensemble Methods - Present Results - Finalize Model Linear Algorithms Linear Regression, Logistic Regression, and Linear Discriminant Analysis Non-Linear Algorithms CART Model, Decision Tree, Na ve Bayes and Support Vector Machine Evaluate the performance Split into Train and Test and K-Fold cross-validation algorithms Good hands on experience in Python EcoSystesms Pandas, Numpy, Scikit Learn Expertise in NLP Text Classification, Word Cloud, Term Document Matrix and Corpus, Expertise in NLTK Tokenizer, Tfidfvectorizer, Countervectorizer, Stemming 3 + years of experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing, Reporting Tool Tableau and BigFrame ETL Tool. Project Specific requirement (if any): MS Degree in Computer Science or related Study