Hello there!
![](https://static.wixstatic.com/media/11062b_167229ff8bd2407caf93688e53ba5859f000.jpg/v1/fill/w_147,h_83,al_c,q_80,usm_0.66_1.00_0.01,blur_2,enc_auto/11062b_167229ff8bd2407caf93688e53ba5859f000.jpg)
HI
I AM NIHARIKA B. SHARMA
Aspiring Data Analyst & Data Scientist
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Professional Experience
![image_processing20200802-8138-kcf68l.gif](https://static.wixstatic.com/media/1c49db_5e524f5214aa40df80a8027e9ec31100~mv2.gif)
* Implemented advanced customer data analytics to identify revenue growth and service enhancement opportunities, like segmentation, behavioral trends, and feedback within the Data Strategy and Governance Department.
* Developed impactful reports and dynamic visualizations using Power BI to communicate findings and make recommendations effectively.
* Extracted and managed data from diverse sources using SQL in Azure Data Studio and Azure Blob Storage.
* Developed Python scripts to optimize data-related workflows, encompassing data extraction and manipulation.
* Processed and analyzed over 50 million records with PySpark within Azure Synapse Analytics, resulting in a 30% improvement in data processing.
* Proposed the implementation of predictive analytics techniques, resulting in a 15% increase in revenue, a 20% reduction in operational costs, and a 10% improvement in customer satisfaction through proactive decision-making.
FedEx Office
Expert Coding Technologies
* Increased business efficiency by 23% through preliminary data exploration using Python and complex queries for data extraction and manipulation via SQL.
* Improved customer experience by testing case scenarios and validating different responses, analyzing project scope, and providing recommendations for process improvements that boosted execution time by 50%.
* Enhanced productivity for faster data retrieval by fine-tuning SQL queries, reducing data processing time by 40%
* Introduced opportunities for improvement and effectively communicated data-driven insights to a non-technical audience through concise presentations.
* Use statistical and machine learning techniques to build models to explore business solutions.
* Created and implemented more than 10 Tableau dashboards to deliver campaign performance visualizations based on tracked metrics, contributing to more informed business decision-making.
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