Sr. Data Analytics Developer Resume San Francisco, CA - Hire IT People

SUMMARY

Strong ability to work independently as well as in team in a fast - paced environment to handle the multi and managed task with varying priorities
Expert in using self-service BI tools including Power BI and certified by Microsoft
Skilled in Data Science and Data Analysis to provide quick business insight with the help of following technologies: Excel, Power Query, DAX and VBA, Python, R, Artificial Intelligence and Machine learning
Capable in database design and integration from hands-on experience using SQL/MYSQL databases
Ability to integrate data using ETL tools like SSIS, Azure Data Factory from multiple sources including ERP systems

TECHNICAL SKILLS

Data Analysis/Visualization Tools: Power BI, Microsoft Flow, DAX, Power Query, Excel, IBM Watson Studio, Jupyter Notebook Etc.

Computer Language and Libraries: R, Python, NumPy, SciPy, Pandas, Scikit-learn, Matplotlib, Seaborn, TensorFlow, Java, VBA, C, C++

Cloud Environment: Azure - Cognitive Service, Data Storage, Azure Data Factory, AWS - Redshift, Athena, S3 Bucket

Database Systems: MySQL, SQL, SQL*PLUS, SQL Server

Version Control and Task Tracking Tools: GIT, SVN, Bitbucket, JIRA

PROFESSIONAL EXPERIENCE

Confidential, San Francisco, CA

Sr. Data Analytics Developer

Responsibilities:

Develop an analytical engine using Power BI, Excel, and AWS (Data Source).
The engine is used by lead and managers as a primary tool to monitor the content moderator’s performance.
Develop and Run Test to validate the data quality

Confidential, Fremont, CA

Software Engineer - Data Science and Analysis

Responsibilities:

Created Power BI reports to analyze EBITDA, product backlog, shipments, and sales pipeline
Created Power BI reports to analyze finance data to populate KPIs - RONA, Current ratio, Inventory Turnover, Revenue Per Employee etc.
Technologies also included Power Query, DAX and Excel
Published Power BI dashboards for senior executives to use data to drive decisions
Created data pipeline in Azure using Azure Data Factory (ETL) and SQL Server.
Performed data science and analysis using Python, R, Excel, SQL, VBA and Machine Learning (Classification, Regression, Neural Network)
Developed a machine learning model to improve the sales and marketing efficacy of the product resulting in sales improvement of 11%
Led team members through training and mentoring

Technologies: Power BI, DAX, Power Query, R, Python, Excel, VBA, SQL

Confidential

Software Engineer

Responsibilities:

Developed a web application using AngularJs to capture customer data to improve the efficiency of existing processes
Worked with MEAN Stack (MongoDB, Express, AngularJs, Node.js) application and customized the feature based on recent business model

Technologies: HTML5, CSS3, Angular JS, MongoDB, Node.JS, WebStorm, Confluence, GitLab, Jira

Confidential, Freedom, CA

Data Analyst & Engineer

Responsibilities:

Worked closely in a team performing data analysis and visualization using Power BI
Discovered pattern of customer buying experiences to reshape business strategy
Collected source system web data using WordPress core and applied several plugins based on business requirements
Coordinated testing environments, plans, and schedules with Project Managers, and Business Analysts

Technologies: Power BI, Excel, R, Python, MySQL, HTML5, CSS3, WordPress, MySQL, Git, Confluence

Confidential, Palo Alto, CA

Data Analyst & Engineer

Responsibilities:

Involved in design, development, testing and implementation of the process systems.
Analyzed and Visualized Robotics Data by writing program in Python and received a result to further guide the robot in the desired direction and location.
Developed an application to track and learn the robot path and enhanced the model so that robot can follow the object.

Technologies: Python, MATLAB, Bitbucket, Confluence, Git, Jira