Ibrahim Allahbuksh
Junior Project Analyst @ Citi
Data analyst and junior project analyst at Citi’s Treasury department, supporting end-to-end project execution for the Citi Treasury Investments (CTI) group. I work at the intersection of finance and technology—leveraging Python to analyze large datasets, automate data workflows, and improve data quality across critical Treasury operations.
My role bridges project management and data engineering: tracking project progress, supporting user acceptance testing (UAT), and driving actionable insights through automation and analytics. With a foundation in software engineering and AI, I specialize in designing scalable, data-driven solutions for complex financial systems.
Technologies
Projects
Personal Development Video Analyzer
Custom action extraction module integrating ASR transcription and NLP-based segmentation for video content analysis.
Professor Recommender App
Web application for college students to rate professors and receive recommendations based on their learning styles.
Trek
Social platform for hikers to share experiences and plan hiking trips with interactive galleries and trip planning features.
News Analysis
News analysis tool using NLP to detect biases and analyze sentiment in articles, helping users make informed decisions.
Stock Trade Recommendation
Stock prediction app using reinforcement learning with Deep Q-Network, achieving 12% ROI on real trades.
Summit Execution Junior Project Analyst
Citi
March 2025 - Present
Used data analytics to support various stages of various projects.
Supported user acceptance testing (UAT) to validate business changes have been successfully developed
Tracked general progress, risks, and issues on a daily basis
Followed-up with project participants to ensure action items from meetings are completed.
Beats by Dre Consumer Insights Data Analytics Extern
Extern
Jul 2024 - Sep 2024
Developed proficiency in Python and various data science libraries to perform sentiment analysis on 1500+ consumer reviews and 17 competitor products.
Applied exploratory data analysis (EDA) techniques to uncover 6 underlying patterns and trends in large datasets.
Utilized advanced natural language processing tools to interpret and summarize 1500+ consumer reviews.
Utilized advanced natural language processing tools to interpret and summarize customer feedback.
IT Consultant
University at Buffalo
Feb 2022 - Jun 2024
Resolved 100+ technical issues weekly, including software, and networking problems for clients, ensuring swift and effective support.
Delivered a range of IT services such as diagnostics, malware removal, system resets, and reinstallation in both Windows and Mac environments.
Streamlined issue resolution through Remedy Force, reducing average ticket response time by 30% for students, faculty, and staff.
Created and improved technical documentation to enhance the efficiency of support procedures.
Data Annotation Specialist
Tesla
Jul 2022 - Aug 2022
Utilized an autopilot labeling interface to train deep neural networks by accurately labeling hundreds of images
Coordinated with computer vision engineers to optimize labeling efficiency by contributing feedback on interface design to 2 supervisors.
Enhanced understanding of how labels are used by learning algorithms, was able to design a 98% accurate machine learning model