Data Analytics Engineer Resume

SUMMARY

Experienced Data Analytics Engineer with a strong background in programming, algorithms, predictive modeling, machine learning and data insights looking to be a part of a team with an innovative, creative and fast - paced work culture.

TECHNICAL SKILLS

Programming Languages: Python, Java

Data Analysis Tools: R, Visualization packages (Matplotlib, Plotly, Tableau)

Database Skills: RDBMS (MySQL, Oracle), Graph database (Neo4j)

Cloud Computing: Amazon Web Services (AWS)

Big Data Technology: Apache Hadoop, Hive, Pig Scripting Language JavaScript, HTML5, CSS Operating Systems Linux, Mac OS, MS Windows

Others: Machine learning algorithms, Microsoft Suite, CRM, XHTML, JSON

PROFESSIONAL EXPERIENCE

Confidential

Data Analytics Engineer

Responsibilities:

Designed and developed an efficient and flexible flight search using graph database by optimizing the power of Neo4j and graph analytics technique
Performed research on the analysis of Pareto-front for multi-objective optimization functions using genetic algorithm and clustering techniques (k-means) of machine learning algorithms
Design, build, deploy machine learning application to solve text classification using naive bayes algorithms to categorize the taxonomy of products.

Confidential

Software Developer and Analyst

Responsibilities:

Provided simulations, data analyzed and interpreted of the school result using machine learning using visualization techniques to present for the decision maker in precise and concise way
Developed student monitoring system project for the registrar that managed student records, performance, information to predict educational system using association rule of data mining
Played central role in Oracle database design, system administration, analysis, GUI design, and test case development
Designed and developed digital library database for created easy accessibility for students.

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