Data Analyst Resume

OBJECTIVE:

To build a long - term career as a Data Analyst with opportunities for learning and career growth, enhancing my skills in the best possible way in materializing the company’s defined goals.

SUMMARY

2+ years of IT experience in analyzing & developing Business Data Systems.
Exposure working with diverse data sources in Open System & Cloud Platforms
Experience in Data Analysis, Data Profiling, Data Wrangling, Data Integration and Data Mapping.
Expertise in data-mapping, rule-building, reference data management in data conversion/migration projects
Experienced in working with various stages of Software Development Life Cycle (SDLC).
Experienced in implementingObject-Oriented Python, MySQL, Exception Handling andCollectionsusingPython.
Experience in writing JSON REST APIs usingPostman.
Good experience of software development in Python (libraries used:libraries- Beautiful Soup,NumPy,SciPy,Matplotlib,Panda’sdata frame.
2+years experience working with various Relational Database Management Systems (RDBMS) likeMySQL, Microsoft SQL Server and Oracle.
PyCharm/Jupyter notebook, Proficient in performing Data analysis and Data Visualization using Python libraries.
Experience in data cleaning using NumPy and Pandas and Data Visualization using Seaborn, Matplotlib and Tableau.
Exposure to Amazon Web Services (AWS)cloud platform likeEC2,Virtual private clouds(VPCs), Storage models (S3), RDS & Athena
Excellent problem determination and problem-solving skills
Excellent analytical, logical and debugging skills
Excellent management skills with proven ability
Efficient in in corporation of various data sources residing in multiple platforms and sources.
Exposure in creating metadata/datadictionaries, and designing and implementing reports, and creating database views
Expertise in MS Office Products.
Ability to adapt to new processes and technologies fast
Excellent verbal and written communication skills

TECHNICAL SKILLS

Programming Languages: Python 2. X, Python 3. X, C, C++, SQL

Databases: MySQL, Oracle, Microsoft SQL

Web Technologies: JSON, XML, HTML5, jQuery, JavaScript

Machine Learning skills: EDA, Classifications, Ensemble Techniques, Neural Networks, NLP

Python web frameworks: Django

Database Tools: SQL Developer, MySQL Workbench, DBeaver, Toad Data Point

Operating Systems: Windows, Unix, and Linux

Methodologies: Waterfall, Agile, Scrum, SDLC

IDE & Other Tools: PyCharm, MS Vizio, Sublime Text, Notepad++, Concurrent Versioning System (CVS), Jupyter notebook, WinSCP, MS Office, Postman, Restful, GitHub, ETL Informatica

Cloud Platform: AWS

Data Cleansing, EDA & Vizualisation: NumPy, SciPy, Pandas, Matplotlib, Seaborn, Pandas Profiling, Tableau

PROFESSIONAL EXPERIENCE

Confidential

Data Analyst

Responsibilities:

Gathering requirements and translating theBusiness detailsintotechnical design.
Participated in all the stages of software development lifecycle (SDLC) like design, testing development and implementation.
Developed backend modules usingPythonby implementing MVC architecture.
Developed codes usingPython and usedSQLfor databases for extracting useful data from the design database.
Converted Informatica ETL workflow to python.
Implemented Data Quality rules consulting business.
Expertise in data analysis and extraction from various data platforms and wrangling as per business needs.
Participated in developing tools for monitoring and notification usingPython.
Wrote Python code and actively participated in the procedure to automate processes.
Efficiently performed data consumption using REST API interfaces.
Fixed bugs, providing production support, enhanced applications by improving code reuse .
Exposure using Tableau for data visualization and preparing reports for business needs and understanding.

ENVIRONMENT: MySQL, Python 3.0, DBeaver, Pycharm, Oracle, Restful API, Tableau, Jupyter Notebook, Agile, Informatica

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