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Senior Data Engineer
Essence• August 2019 - Present
- Created an automated and scalable approach of collecting, cleansing unstructured data, creating model predictions, and recommending the optimal budget allocation for a given campaign, product, market, and channels for Google's major products globally - Development and improvement of the existing back-end and ETL infrastructure to gradually increase the speed by 150% - Used machine learning algorithms and created multiple data models to forecast conversions to produce up to 90% + accuracy rate - Utilized auto-generated reports to represent the visualization trends of the constraints which were enabled from optimizing the forecasted campaign data at market levels - Creating automated scripts for ETL and back-end processes to remove any manual intervention while creating models and running algorithms. - Hand-on with technologies like Business Intelligence (BI) like Google Data Studio and Tableau, Linux, REST API, Airflow, Alteryx, BigQuery, JIRA, Confluence, GIT, languages like Python, SQL, Javascript and IDE like PyCharm, Jupyter, and Eclipse
Senior Analyst
Magicpin• August 2018 - August 2019
- Interpretation of live user interaction with the company's product and providing detailed analysis for the same - Visualization of various data trends in order to gain meaningful information from raw data and implement the same on the live application - Analyzing the conversion/success rate of search queries over the app aiming at increasing the user footfall on app search - Used apache solr to dynamically cluster the structured data on the application and also maintain the ETL processes - Proposed solutions and built strategies and techniques on the basis of deep analysis of data to optimize data efficiency and overall data quality - Helped in creating the rating logic system for the end-users by considering the factors like time, user credibility, seasonality of different cities & various other KPIs - Fully automation of the day-to-day processes with the functionality of reporting and analyzing the trends which helped in seeking meaningful insights about the end-users - Improving the functionality of the app by changing its structure as per the key knowledgable factors generated from user interaction on the basis of their field of interests - Hand-on with technologies like Azure cloud, machine learning (ML) algorithms, Power BI, REST API, BigQuery, GIT, Kibana, Alteryx, Tableau, and languages like Javascript, Python, and SQL along with JSON
Education
the northcap university
Computer Science, B.Tech• August 2014 - May 2018
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