Data Science and AI
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Visualization Tools:
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Halifax, Canada
August 2021 - January 2023
Uttar Pradesh, India
July 2015 - August 2019
Responsibilities as a Data Science Research Assistant
at CIOOS Atlantic - Regional Association of The Canadian Integrated Ocean Observing System
- Conduct a knowledge synthesis / interdisciplinary literature review of data.
- Sharing practices in oceans and other natural resources disciplines.
- Collaborating with the Vitality Project team and the Canadian Integrated Ocean Observing System.
- Analyze the ocean data to understand the state of ocean and explore regionally-tailored data products.
- Conduct a risk analysis of sharing valuable yet potentially sensitive pooled data.
- Explore best practices to ensure data governance: Data Trust, Non-fungible Tokens, or homomorphic encryption
- Technologies Used:
Python Programming
Docker
GitHub
Jenkins![]()
Software Development and Data Science Consultant
with implementation expertise in Tax Systems and Analytics
- Developed over 100 Tax Revenue & Management business processes resulting in 30% increase in efficiency.
- Development and refinement of Business logics, Interfaces, and processes in Digital Tax System.
- Development of Tax officer, Supervisor, Director, and User Portals to deliver modernized tax administration system.
- Digital Transformation and Analytics: Led a team of 10 people to develop CDS Views and VDM in HANA.
- Utilized Analytics and technical expertise to provide insights and proposals to support business process improvement by creating interactive dashboards.
- Tools and technologies: Python, R, Tableau, Power BI, ABAP, UI5, SAP Predictive Analytics and HANA.
- Clients and Projects:
Federal Tax Authority - Dubai (FTA)
ZATCA - Saudi Arabia, Riyadh
General Tax Authority- Qatar (GTA)
Fiji Revenue and Customs Service - Fiji (FRCS)![]()
This project depicts the Global Warming in Canada through various informative visualizations using RStudio.
Analyze the FitBit Fitness Tracker Data to gain insights into how consumers and users are using the Fitbit App and discover trends.
Analysis of the number of cases per day will be done to observe the trend. Linear Regression and Support Vector Machine models will be used to predict the number of cases.
Tableau is used to draw insights and create dashboards to derive actionable insights for an organization called GBI.
Power BI is used to analyze and derive insights about different categories of apps and their popularity among the users.
It includes the steps of implementing SAP HANA Environment to fulfill the organization’s BI needs. It further includes the analysis of sales and product dataset of a hypothetical organization..
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