What is the average salary for Humana employees in San Jose, CA?
Humana employees in San Jose, CA earn $81,000 annually on average, or $39 per hour, which is 20% higher than the national salary average of $66,000 per year. According to our data, the highest paying job at Humana in San Jose, CA is 70,000 Anonymous Employee at $an annually.
Average Salaries at Humana for Popular Roles in San Jose, CA?
+$40K (65%) more than average Humana salary ($41K)
"Dear Hiring Manager,
My name is Chinta Kiran and I believe that with my skills, experience and attitudes, I can bring a lot to the company and am excited about the prospect. I feel that my skills and experience are a great fit for the position of Machine Learning Engineer. Please feel free to contact me to arrange an interview.
Mentioned below are my Experiences and Expertise Levels:
• 3+ years of IT industry experience encompassing in Machine Learning, Datamining with large datasets of Structured and Unstructured data, Data Acquisition, Data Validation, Predictive modeling, Data Visualization.
• Experienced the full software lifecycle in SDLC, Agile and Scrum methodologies.
• Experience in Text Analytics, developing different statistical machine learning, Datamining solutions to various business problems and generating data visualizations using R, Python, and Tableau.
• Tagging of experience in foundational machine learning models and concepts: regression, random forest, boosting, GBM, NNs, HMMs, CRFs, MRFs, deep learning.
• Extensively worked on statistical analysis tools and adept at writing code in Advanced Excel, R, MATLAB, Python.
• Professional working experience in Machine Learning algorithms such as Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, K-Means Clustering and Association Rules.
• Well experienced in Normalization, De-Normalization and Standardization techniques for optimal performance in relational and dimensional database environments.
• Implemented machine learning algorithms on large datasets to understand hidden patterns and capture insights.
• Hands on Experience with Data Manipulation packages like NumPy, Pandas, SQL Alchemy and Data Visualizing packages like Matplotlib, Seaborn and Bokeh.
• Experienced in SQL programming and creation of relational and Non - Relational Data Bases.
• Strong conceptual, analytical, and design skills with leadership qualities. Able to work with a team or individually with excellent commun"