Data Analyst

• Aug 2022 - Present

Part time Customer Solutions Representative

• Feb 2022 - Present

Software Engineer- Data Analyst

• Sep 2020 - Aug 2021

• Worked across different functional departments for client, and translated business problems into achievable solutions, with a focus on predicting future ad-hoc demands.• Gathered, structured, and analysed global retail data for 2018, 2019, and 2020 using Python, R, Machine learning algorithms, MS Excel, and Power BI.• Contributed to a team of 4 to develop and present models for global sales revenue using the historical data, which resulted in a 40% rise in domestic sales.• Proposed approach to streamline data integration procedures and standardize data inputs across systems, lowering data latency by 66%, and was awarded by “Hive Five award” for that quarter.• Presented results to team’s global head and wrote executive summary detailing the value and proposition and strategy to present to client and senior leadership.

Trainee- Business Analyst

• Jun 2020 - Sep 2020

• Bridged the gap between IT and the business using data analytics to assess processes, elicit requirements, delivered data-driven recommendations, and reported to executives and stakeholders.• Adept at preparing product backlog and writing epics, and user stories with acceptance criteria using Agile Scrum methodology.• Managed 3 concurrent projects and drove them to completion.• Delivering best data driven solution complying with best data architecture practices.• Got recognized as a valuable asset of the organisation and received 'Intern Appreciation Letter' upon completion of the internship.

Graduate Trainee

• Jun 2019 - Jun 2020

• Helped team by building fuzzy matching algorithm using the K-nearest neighbors to identify nearby matches in unstructured data.• Conducted cluster analysis to segment customer profiles, which helped client to target crucial customers.• Got recognized as a valuable asset of the analytical team and received 'Intern Appreciation Letter' upon completion of the internship.

Associate Data Analyst

• Jun 2018 - Jun 2019

• Doubled campaign response rates by implementing predictive models in R.• Implemented random forest algorithm to help client to identify satisfied and loyal customers, also predicted the likelihood of customers buying a recommended product.• Researched and compiled tailored monthly interactive visualizations using Tableau and analytical reports for senior management to conclude managerial actions and strategy.• Developed an algorithm in R that automated financial forecasting which increased the team productivity by 70%.