Sales And Marketing Data Analyst Resume
SUMMARY:
- Data Analyst with excellent python and analytics skills waiting for an opportunity to obtain a challenging and responsible position in Data Analytics where my knowledge, ability and dedication will be utilized to add value to the community. I am an unquenchable learner who loves acquiring new skills and tackling new challenges.
- Looking forward to working collaboratively with a friendly team to ensure optimal results.
- Data Analysis (Analytics, Statistics and Machine Learning Algorithms)
- Machine Learning: Scikit Learn (K - mean Clustering, SVM, Regression Analysis)
- DataSciencePackages: Pandas, NumPy, dplyr, leaflet, Python APIs, Vader Sentiment Analysis, Beautiful Soup, Flask
- Visualization Tools: Matplotlib, Seaborn, Plotly, Shiny, ggplot2, Folium, leaflet.js
- Proficiency in Version control software Git, GitHub, GitLab
- Solid knowledge in RDBMS, SQL skills, SQLAlchemy, SQLite
- Hands on experience in IBM Db2 on cloud, SQL API and Python DB API
- Other APIs: Tweepy, Gmaps, OMDB, NYT, Four Square API, GCP
- Expertise in programming fundamentals using C, C++ JavaScript, Python, R Programming
- HTML, XML, JSON, jQuery, AJAX
- Operating Systems: Unix, Linux, Macintosh, Windows
- Hands on experience in Jupyter Notebook, Zeppelin Notebook, IBM Data Science Experience, RStudio, Cognitive class labs
- Advanced Microsoft Excel and VBA Scripting (Pivot Tables)
- Experienced in installing and handling virtual machines and environments.
- Excellent interpersonal skills and an enthusiastic team player.
- Advanced communication skills.
SKILLS COVERED:
Advanced Excel (Pivot Tables), VBA Scripting, Python, R, Fundamental Statistics, Modeling and Forecasting, Pandas, Matplotlib, API Interactions, Social Media Mining (Twitter, Facebook), MySQL, MongoDB HTML, CSS, Bootstrap, Dash-boarding, JavaScript Charting, D3.js, Geo mapping with Leaflet.js, Tableau, Bid Data analytics with Hadoop, Machine Learning.
RELEVANT EXPERIENCE:
Sales and Marketing Data Analyst
Confidential
Responsibilities:
- Worked collaboratively with development, sales, marketing and stakeholders to translate business objectives into actionable analysis, owned end-to-end analytics, effectively communicated complex analytics to a broader audience in writing and presentation formats.
- Developed and supported client specific sales and marketing analytics, addressed business strategies, converted analytics finding into customer insights, analyzed sales data for building a predictive model to derive insights for customer tailored business strategies and client-side requirements.
- By performing ad-hoc analytics and providing data driven insights, helped the marketing team to take the strategic decisions to improve the business model and revenue.
Environment: Python, SQL, Excel, VBA Developer Tool, Excel, Power BI and Tableau
Software QA Engineer, San Jose, CA
Confidential
Responsibilities:
- Evaluated all technical documents applicable to tests
- Performed exploratory testing to familiarize with the application features such as collaborative shopping tools: shared pick list, user ratings and other user generated content
- Contributed in QA team effort in test plan development
- Wrote and executed test cases for the Store Management module
- Owned smoke testing and functional testing responsibilities
- Utilized Bugzilla application for reporting and monitoring software defects
- Performed regression testing to validate bug fixes and for every new build
- Actively participated in weekly QA team meetings to discuss testing process and resolve blocks
Environment: Net MVC4 framework, Multi-layer using repository pattern on top on Mongo DB, HTTP streaming server, jQuery, AJAX and .NET MVC, AWS Amazon cloud hosting, Shared cache for data object caching.