Ing. Surya Bhattarai

Managed a large-scale data migration projects from advertisement platforms to Snowflake. Create all three layers (staging, golden and reporting) in DBT for the marketing team. Analyse the marketing metrics at both campaign and source levels for performance marketing running on different digital platforms. Utilising Tableau for creating visually impactful dashboards. Developed and implement ADF pipelines and ETL/ELT processes to efficiently migrate data from various advertising platforms to the DWH.

Integrating unstructured data sources to a standard format and ETL modelling to analyse the insights. Standardise the process and optimise the supply chain management process. Real-time refresh dashboard creation using Power BI and DAX. Quantity and price forecasting of each pieces of animal.

Using Microsoft data platforms to source Microsoft search and browse data. Leverage Databricks, SQL, SCOPE, COSMOS, Visual Studio, DAX, DAX Studio, Excel, R, Python, Power BI to turn big data into thought-provoking and actionable insights. Analyse and Visualize data using Power BI and Excel templates aiming to deliver sophisticated solution that support clients in maximizing their paid searches metrics. Trend modeling (time-series, ARIMA, Prophet) and model simulations through data science techniques.

Real-time dashboard creation, data analysis, KPIs calculation, and reporting using data visualization tools. Creating Segmentation, Pickup, Forecast and Budget Tools for daily forecasting and pricing the Hotels bookings. Working on SQL, Tableau, Power BI, Python, VBA Macro, Advanced Excel, EzRMS, OTA insights, DAX programming, Data Modelling, ETL and Big data.

Working as a Data Analyst in Gerandu GmbH in Berlin. Using Microsoft Dynamic 365 for Customer Data Management and Microsoft Power BI for data analysis and visualization. Finding the interesting patterns that are important to get inside the business, develop different KPI using DAX functionalities on Power BI , Create interactive visualization dashboard on Power BI service. Create recommendation report to analyse business cases.

Data Analysis and Forecasting of Flinkster Car-sharing company data. Time series analysis using ARIMA, SARIMA and Prophet model of car-sharing company data. Forecast the actual number of vehicles needed of Flinkster company per cities per time(per day/ per week/ per month)

Working as Front end developer using Bootstrap, Javascript, Photoshop, and CSS.

Working as a technical support Officer in a animated Theater. Focus on technical and management support to maintenance and operation of this system.

Business Analysis, DevOps, DevOps, Agile development, Machine Learning, Big Data, Cloud Computation, Python, R, SQL, MS Power BI. Master Thesis Topic: A scenario based insight into Business Intelligence, Dynamic Integration and real-time data analysis using Microsoft Power BI.