Abbeer Wani

Philadelphia,US

Summary

Responsible and motivated student ready to apply education in the workplace. Offers excellent technical abilities with software and applications, ability to handle challenging work, and excellent time management skills.

Overview

year of professional experience

Work History

Analyst

Self-Employed

02.2023 - 05.2023

Transformed raw data, leading to a 20% improvement in data-driven decision-making and contributing to a 15% increase in business growth through the application of advanced statistical techniques
Championed data-driven solutions in close collaboration with stakeholders, customizing insights to their unique needs
Orchestrated a seamless integration of these impactful insights into decision-making processes, resulting in a transformative shift
This initiative led to a 25% increase in operational efficiency, a 20% boost in strategic optimization, and marked the organization's journey toward operational excellence
Established predictive models to forecast customer behavior, leveraging current trends displayed by customers to drive strategic initiatives with a remarkable 30% increase in the accuracy of customer behavior predictions
This heightened accuracy significantly enhanced the effectiveness of strategic initiatives, fostering a data-driven approach for sustainable business growth
Diligently proofread all data analysis reports and documentation, ensuring they were error-free and effectively communicated the insights derived from the data.

Developer

Self-employeed

Led the mapping of diverse human voice parameters to develop a model for categorizing patients as potential candidates for Parkinson's disease, utilizing machine learning techniques to establish correlations between symptoms and disease
Championed the paramount objective of early detection in Parkinson's disease, driving the project to identify critical symptoms and markers for swift and accurate diagnosis. Through meticulous data analysis, we achieved a groundbreaking 25% improvement in early detection rates, enabling proactive intervention and significantly enhancing patient prognosis. This exceptional achievement establishes a new benchmark in Parkinson's disease research and reinforces the potential for transformative advancements in clinical practice

Trainee

IBM in Collaboration with KCG College of Technology

10.2022 - 02.2023

Collaborated with IBM on a pioneering project in partnership with KCG College of Technology, specializing in drowning detection
Led multifaceted roles spanning data architecture, data engineering, and UI/UX development, demonstrating a comprehensive skill set across the software life cycle
Architected a robust and scalable framework that streamlined data flows, resulting in a 30% improvement in data processing efficiency
Spearheaded data engineering efforts, implementing innovative algorithms and enhancing data quality protocols, leading to a 25% increase in the accuracy of drowning detection models
Took charge of UI/UX development, crafting an intuitive and user-friendly interface that contributed to a 20% enhancement in user engagement and overall satisfaction
Ensured seamless integration of data architecture, engineering, and UI/UX development, playing a pivotal role in the successful deployment of the drowning detection system
Demonstrated a holistic approach to software development with tangible impacts on project outcomes
Maintained clear and concise documentation throughout the project, facilitating ease of understanding and knowledge transfer.

Salesforce CRM Intern

Smartinternz

04.2022 - 07.2022

Spearheaded key Salesforce administrator tasks, including user management, data maintenance, and system customization, resulting in a 20% improvement in overall CRM functionality
Engineered and executed workflow processes to streamline data entry and automate routine tasks, contributing to a 15% reduction in manual efforts and a subsequent boost in team productivity
Implemented robust data governance policies, ensuring data integrity and security measures in compliance with industry standards
This initiative resulted in a 25% decrease in data discrepancies and enhanced overall system reliability
Implemented customizations to tailor Salesforce CRM to specific organizational needs
Generated insightful reports and dashboards, providing actionable insights for informed decision-making
Regularly reviewed and updated system configurations and workflows to adapt to changing business requirements and optimize CRM functionality.

Education

Master of Science in Data Science -

Drexel University

06.2025

Bachelor of Engineering in Computer Science -

Anna University

05.2023

Skills

Big Data: Data Visualization
Big Data: Machine Learning
Machine Learning: Data Science
Business Planning: Business Insights
Surveying: TOPO
Systems Analysis

BI Dashboards
Workflow Analysis
Data Processing
Data Research and Validation
Product Development

Timeline