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Registration: 19.02.2025

Syeda Ayesha

Specialization: Data Scientist
— Dedicated Data Scientist with a proven track record in machine learning and AI technologies. — Eager to leverage expertise in developing innovative AI solutions, data interpretation, visualisation, financial analysis, and strategic implementation to solve complex challenges.
— Dedicated Data Scientist with a proven track record in machine learning and AI technologies. — Eager to leverage expertise in developing innovative AI solutions, data interpretation, visualisation, financial analysis, and strategic implementation to solve complex challenges.

Skills

Python
SQL
PowerBI
HTML
Tableau
PyTorch

Work experience

Data Scientist
since 05.2024 - Till the present day |BEC Legal Systems - Jonas Software
Python, Docker, HTML, Java
● Responsible for creating the AI features of the CoreRelate Cloud product, which integrates with industry-standard document management systems (DMS) like iManage and NetDocuments. ● Automate the document classification, extraction of dates and relevant information from court documents and for each identified date get an AI-generated summary of the event or deadline related to the date. ● Develop an AI document classifier with 98% accuracy, classifying documents based on characteristics like case number, jurisdiction, key phrases, and signatures. This achievement reduces manual process by 30%. ● Working on generating AI summaries for each identified date using the OpenAI API GPT model.
BI Analyst
02.2020 - 04.2024 |Constellation Software
Python, Jedox, Excel, PowerBI
Implemented Churn model for customer relationship analysis. ● Developed a Churn model using advanced machine learning algorithms in Python, identifying critical customer behaviour patterns and improving forecast precision. ● Seamlessly integrated the churn model into the Jedox system, enhancing customer relationship management and enabling data-driven decision-making. ● Improved customer retention by 12%, identifying high-risk customers early and enabling targeted retention strategies. Automated HR manual processes by integrating Workday API with Jedox. ● HR processes were manual and time-consuming, leading to inefficiencies. ● Automated HR processes by integrating the Workday API with Jedox. ● Developed an integration solution between Workday and Jedox using APIs. Automated data transfer and HR workflows to streamline operations. ● Reduced HR processing time by 35%, eliminated manual data entry errors, and improved overall HR efficiency. Integrated Jedox with NetSuite using API. ● Facilitated seamless data integration between Jedox and NetSuite for unified reporting. ● Integrated Jedox with NetSuite using API for enhanced data synchronisation. ● Developed API-based integration solutions to synchronise data between Jedox and NetSuite. Automated data flow and ensured real-time updates. ● Improved data synchronisation efficiency by 30%, and provided unified reporting capabilities with Power BI.

Educational background

Data Science (Masters Degree)
2020 - 2022
IBA
Business Administration (Masters Degree)
2019 - 2021
Karachi University Business School
Computational Finance (Bachelor’s Degree)
2014 - 2018
NED University

Languages

EnglishAdvanced