Data analyst Resume

SUMMARY:

2+ years Expertise in developing both front end & back end applications using HTML, CSS, JavaScript and Python.
Over 1+ year of experience in data analysis and machine learning techniques with hands - on-experience on various python libraries like Numpy/Pandas/SciPy
Hands on working experience on Machine learning; Used software's such as Matlab, WEKA, etc.,
Good experience in identifying actors, use cases and representing UML diagrams.
Strong experience in RDBMS technologies like Mysql SQL, Sub Queries, Stored Procedures, Triggers, Functions.
Taught classes on Python in Columbus State University.
In depth knowledge of Risk Assessment and Management. Good understanding of Application attacks such as SQL injection, Buffer Overflow, etc.,
Ability to detect Security threats and vulnerabilities using tools such as Vulnerability scanner, Protocol Analyzer, honey pots, etc., ; Basic understanding on Penetration Testing.

TECHNICAL SKILLS:

Operating Systems: Windows 95/98/NT/2000/XP, Linux

Languages: Java, Python, C, C++, UML

Technologies: HTML5, CSS3, XHTML, XML, JavaScript, AJAX, MySQL, SAS, SSAS

IDE: Eclipse IDE, Notepad++, Adobe Dreamweaver, Just In Mind Prototyping tool, Sublime text.

Methodologies: Agile, SCRUM, UML 2.0

Cyber Security Skills and tools: Risk Assessment, Risk Analysis, Cryptography, Cyber Forensics, Sleuth Kit -Autopsy, SANS Investigative Forensic Toolkit (SIFT), Metasploit, Nmap-Zenmap GUI, OWASP Zed Attack Proxy, Wireshark, Microsoft Security Assessment Tool (MSAT)

Protocols: TCP/IP, HTTP, HTTPS (HTTP+SSL), FTP

PROFESSIONAL EXPERIENCE:

Confidential

Data analyst

Responsibilities:

Performed data analysis, generated reports and graphs.
Collaborated with data engineers, wrote and optimized SQL queries to perform data extraction from SQL tables
Analyzed large data sets to find any pattern in the data by extracting the data, cleaning the outliers and plotting the data using Seaborn library.
Analyzed large data sets using pandas and used regression models by using SciPy to predict future data and visualized them
Wrangled data, worked on large datasets (acquired data and cleaned the data), analyzed trends by making visualizations using matplotlib using python; developed different charts and graphs like scatter plots, bar charts, histograms, line charts, other advanced charts etc.
Used R for Data Acquisition and Data Integrity which consists of Datasets Comparing and Dataset schema checks

Environment: Python, R, MySQL, Matlab, MS Excel, SQL Server Management Studio

Confidential

Web developer

Responsibilities:

Extensively used Prototype for the development of modules and components from scratch.
Generated Use case diagrams, Activity flow diagrams, Class diagrams and Object diagrams in the design phase.
Developed Landing Page using HTML, CSS and JavaScript
Developed entire frontend and backend modules using Python on Django Web Framework.
Responsible for querying data using MySQL to produce reports based on requirements
Developed Merge jobs in Python to extract and load data into MySQL database.
Wrote validation scripts in SQL to validate data loading.
Performed Unit and System Testing

Environment: JavaScript, HTML, CSS, Linux, Python, MySQL, Shell Script

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