R&D Data Analyst at Centre of Horticulture Innovation (South Essex Fabricating Inc.) (2024-09 – 2026-02)
Tools: Power BI, monday.com, SharePoint, Excel
- Develop and deploy multi-modal machine learning models for crop yield prediction and optimizing data collection processes.
- Organize, maintain, and optimize databases for efficient data storage and retrieval.
- Create and maintain weekly reports and dashboards using PowerBI.
- Perform ad-hoc statistical analysis to support research and operational needs.
- Draw insights from large databases to find improved, data-driven growing strategies.
- Generate original methodologies to apply modern machine learning and artificial intelligence principles to the horticultural industry.
Data Visualization Specialist at Halight Inc. (2023-06 – 2024-06)
Tools: Tableau, LMS, monday.com SharePoint, Figma
- Developing, maintaining, and managing advanced reporting, analytics, dashboards, and other BI solutions using Tableau.
- Generating visualizations from the data extracted from various sources.
- Performing and documenting data analysis, data validation, and data mapping/design.
- Reviewing and improving existing systems and collaborating with teams to integrate new systems.
- Meeting with business stakeholders to understand their needs and provide technical expertise.
- Identifying hidden patterns and useful insights from big data sets and visualizing them using Tableau.
- Managing and monitoring Tableau server.
- Identifying and examining glitches of the business process and timely resolving the same.
- Finding out the improvement area and identifying automation opportunities to make operation efficient.
- Developing reports and reference documents to get finalized reports.
- Designing dashboard components and backgrounds with the help of Figma.
Data Analyst-Machine learning Research & Development Intern at Cogni XR Health (2022-01 – 2022-05)
Tools: Anaconda, Jupyter Notebook, Google Colabs, Tableau, SharePoint
- Identified, researched and evaluated innovative machine learning technologies.
- Designed and deployed machine learning models into product stack in support of product development.
- Reviewed code changes made by team for accuracy and relevance based on users experience and feedback. (A/B testing)
- Improved and corrected existing software and system applications.
- Gathered customer requirements and developed machine learning product features to address needs.
- Created reports and KPI dashboard in Tableau. Also, developed, managed, and maintained process flow documentation.
- Worked in cross functional team for achieving common goal.
Database Administrator / Data Analyst at Noor Food Industry (2019-07 – 2021-06)
Tools: Microsoft Excel, Microsoft SQL Server, Power BI, Microsoft Power Point, Power Queries
- Responsible for maintaining, creating and managing various databases (CRM).
- Solved Business problems with the help of visualization report / KPI Dashboard. Also, Creating Ad-hoc Reporting as well as directly collaborate with Stakeholders.
- Built data flows and ETL creation in Power BI (Power Query).
- Responsible for generating reports like profit &loss (Accounting) and balance sheet statement for the client.
- Helped finance department for financial planning and Created report based on weekly, monthly and yearly analysis.
- Specified user access levels for each database segment to protect database integrity and company information.
- Analyzed and developed technical and functional specifications for databases serving up to 70 employees.
- Built and presented custom client presentations with new content and analysis.
- Worked on business rules and continues improved based on performance analysis of product.
- Worked closely with marketing team and production team.
Machine Learning Developer (Internship) at TechNet Consultancy (2018-09 – 2019-04)
Tools: Anaconda, R Studio, Jupyter Notebook, Tableau
- Learned how to pre-processed real-time data using python & R.
- Learnt and deployed different machine learning models and algorithms using python & R such as predictive models, regression, gradient boosting, neural networks, clustering, Decision Trees, Logistic Regression and other Machine Learning algorithms.
- Developed graphs and charts for analysis results using Tableau, R and python.
- Recommended data analysis tools to address business issues.
