Abbeer Wani

Philadelphia,PA

Summary

Driven Data Science Intern ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology.

Overview

year of professional experience

Work History

Analyst

Self-Employed

02.2023 - 05.2023

Transformed raw data, leading to 20% improvement in data-driven decision-making and contributing to 15% increase in business growth through application of advanced statistical modeling
Championed data-driven solutions in close collaboration with stakeholders, customizing insights to their unique needs
Integrated impactful insights into decision-making processes for transformative shift and business growth
Led initiative for 25% increase in operational efficiency, 20% strategic optimization, and journey to operational excellence
Built predictive models to forecast customer behavior with statistical modeling techniques driving strategic initiatives resulting in remarkable 30% increase of prediction accuracy
Heightened accuracy enhanced effectiveness of strategic initiatives fostering data-driven approach for sustainable business growth

Trainee

IBM in Collaboration with KCG College of Technology

10.2022 - 02.2023

Collaborated with IBM on pioneering project in partnership with KCG College of Technology, specializing in drowning detection
Led multifaceted roles spanning data architecture, engineering, and UI/UX development for enterprise data warehouse (EDW), demonstrating comprehensive skill set across software life cycle
Architected robust framework that streamlined data flows resulting in 30% improvement to ETL efficiency
Spearheaded data engineering efforts, implementing innovative algorithms and enhancing data quality protocols, leading to 25% increase in accuracy of drowning detection models through statistical modeling

Salesforce CRM Intern

Smartinternz

04.2022 - 07.2022

Spearheaded key Salesforce administrator tasks, including user management and data maintenance resulting in 20% improvement in overall CRM functionality
Engineered workflow processes to streamline data entry and automate routine tasks, reducing manual efforts by 15%
Implemented robust data governance policies, ensuring data integrity and security measures for compliance with industry standards
Led initiative resulting in 25% decrease in data discrepancies, enhancing system reliability and organizational skills through tailoring Salesforce CRM
Generated reports and dashboards for data analysis, providing actionable insights to inform decision-making

Developer

Self-employed

02.2022 - 04.2022

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

Education

Master of Science -

Drexel University

Philadelphia, PA

06.2025

Bachelor of Engineering in Computer Science -

Anna University

India

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