Dinesh Wangkhem

Data analyst with 6+ years of experience in data analysis and reporting, skilled in data mining, statistical analysis, and predictive modelling, able to work with both structured and unstructured data, and excellent communication and presentation skills.

Develop actionable steps to improve quality performance and optimize results using charts and graphs. Build efficient data analysis pipelines using databases to reduce data pre-processing time and expedite analysis work. Enhance data collection procedures to gather pertinent information for analytical systems, thereby reducing data pre-processing
time. Data analysts use graphs and charts to convey important information about a business.
Utilize analytical tools and techniques to develop comprehensive reports that track and analyze business growth trends. They analyze factors such as profitability, market analysis, and internal activities. Assisted in troubleshooting issues related to information, reports, and databases.
Prepared comprehensive test plans for system integration testing. Executed user acceptance testing with a high level of accuracy and attention to detail

Programming: Python (Pandas, Numpy, Matplotlib, Scikit-learn), SQL.
Data Visualization: Microsoft Power BI, Microsoft Excel, Google Sheets.
Back-end tools: Oracle Databases, Microsoft SQL Server, JSON, Postgres, MySQL.
Modelling: Logistic regressions, Linear regressions, Decision trees, Prediction and Forecasting.
Product Analytics: Google Analytics, A/B Testing & Experimentation.
Google Cloud Platform: Big Query, Cloud Storage.