+1 (415) 644 5123
+44 1253 335595
+91 9875 492266
Naresh kumar
Visakhapatnam
,
India
As a Data Analyst with Machine Learning, R, Python, Matplotlib, Scikit-Learn, Seaborn, Numpy, Pandas
13501.5 USD / Year
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Notice Period: 15 Days
2 Years
About Me
- Having 2.6 years of experience as Data Analyst and Machine Learning.
- Experience in Data Analysis, R, Python and My...
- Experience in developing models using Machine Learning and Statistic techniques like: KNN, Naïve-Bayes, Decision Tree, SVM, Clustering, Pattern Recognization, Random Forest, Linear/logistic Regression...etc.
- Experience in Machine Learning Libraries like scikit-learn, seaborn, Matplotlib, ggplot2...etc.
- Experience on Data Science tools: RStudio, Jupyter, WEKA, Numpy, and Pandas.
- Experience on statistical computer languages like R, Python and Python etc. to manipulate data and draw insights from large data sets.
- Proficient in using Machine Learning tools and Statistical techniques to produce solutions to various problems.
- solutions to various problems.
- Experience in develop custom data models and algorithms to apply on data sets.
- Having strong Technical and Analytical skills and comfortable dealing with numerical data.
- Good at communication skills
Skills
Software Engineering
Data & Analytics
Web Development
Programming Language
Database
Others
Positions
Portfolio Projects
Company
Filtering the Spam messages
Role
Data Scientist
Description
Zoho Mail is a smart hosted email solution for small businesses needing a low-cost yet easily configurable hosted mail program that also integrates well with a large portfolio of apps and solutions. Per Users, Per Month, Starts at $1.00. PCMag editors select and review products independently.
Show More Show LessCompany
To identifying harmful cancer cells
Role
Data Scientist
Description
As Data Analyst to Extracting the data from Clients and Analyzing and cleaning than Preparing the Data and predicteve the model for clients requirements
Show More Show LessVerifications
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Phone Verified
Preferred Language
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English - Fluent
Available Timezones
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New Delhi [UTC +5]
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Eastern Daylight [UTC -4]
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Central Daylight [UTC -5]
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Mountain Daylight [UTC -6]
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Pacific Daylight [UTC -7]
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Eastern European [UTC +2]
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Eastern EST [UTC +3]
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Australian EDT [UTC +11]
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Greenwich Mean [UTC ±0]
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Further EET [UTC +3]
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Australian CDT [UTC +10:30]
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Dubai [UTC +4]
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Singapore [UTC +7]
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Hong Kong (East China) [UTC +8]
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