Machine Learning Data Science

ABDUL REHMAN A. KAPADIA

914-***-**** *****@*******.*** https://www.linkedin.com/in/ahaan-kapadia-8a9a02184/ EDUCATION

FORDHAM UNIVERSITY, GABELLI SCHOOL OF BUSINESS

Master of Science, Financial Mathematics August 2024-December 2025

• Recipient of the highest Dean’s Scholarship

• Coursework: Machine Learning and LLMs, Time Series Analysis, Econometrics, NATIONAL COLLEGE

Bachelor's in Business Analytics, 3.69 July 2021-June 2024

• Awarded the State Government Scholarship

• Coursework: Business Statistics, Business Research Methods, Business Law, Data Management, Data Analysis, Data Visualization EXPERIENCE

MYCOUNTRY MOBILE

Data Science Intern & Co-op October 2022-June 2024

• Data Acquisition & Management: Collected and organized data from Scamalytics API, area code data, Google Maps, Yellow Pages, and directories, ensuring structured and accessible data

• Data Processing: Used Python and Django for preprocessing, stored data in BigQuery, and connected to Tableau for visualization

• Automation & Workflows: Automated Page Insights for web URL optimization, sales reporting, email reporting with Zapier, and hourly data acquisition using a Python cron job on Linux

• System Integration: Integrated structured data into databases, ensuring accuracy, consistency, and seamless access across platforms

• Collaboration: Worked with data teams and stakeholders to enhance data processing, automation, and system integration SOCIIOFY

Data Analyst Intern June 2022-August 2022

• Market Research: Worked with global teams to conduct SEO analysis and market research, increasing campaign efficiency by 20%

• LinkedIn Data Scraping & Outreach: Scraped LinkedIn profiles using keyword-based searches to extract emails and automate targeted outreach for pitching

• Automated Reporting: Coordinated with developers to automate reporting workflows using Excel and Looker Studio, reducing reporting time by 40% PROJECTS

DYNAMIC RISK MANAGEMENT LLM FOR TELECOM

• Automated Data Consolidation & Risk Monitoring: Streamlined data integration across 7 entities using Tableau, Power BI, and Excel, reducing manual reporting by 90% and improving accuracy in credit risk, fraud detection, payment defaults, and operational risk monitoring

• Risk Management & Analytics Framework: Developed a risk reporting system by integrating SLA adherence, outstanding balances, and key financial metrics into interactive dashboards, reducing credit exposure by 40% and accelerating issue traceback by 90% through real-time analytics

• Data Processing & Visualization: Utilized SQL, Python, and ETL pipelines to preprocess telecom risk data, enhancing reporting accuracy and dashboard performance in Tableau and Power BI

• Automation & Workflow Optimization: Implemented automated data pipelines to consolidate multi-source risk data, ensuring efficient monitoring of fraud, credit, and operational risks with minimal manual intervention NEW YORK STATE FLEET AUCTION AUTOMATION

• Automated NYC Fleet Auction Data Processing: Developed a system to consolidate publicly available data on foreclosed and liquidated assets, streamlining the detection of auctioned vehicles

• Integrated APIs to verify asset quality and generate accurate valuation insights for informed decision-making WEB SCRAPING FOR INTERNSHIPS

• Automated Internship Search & Data Extraction: Utilized ChatGPT SCREW API, SerperDevTool, and ScrapeWebsiteTool to find and extract internship listings, filtering for relevant roles

• Data Validation & Reporting: Developed AI-driven pipelines to extract, validate, and structure internship details into JSON and CSV formats, ensuring accuracy and accessibility for job seekers VOLUNTARY ROLES

CULTURAL COMMITTEE OF NATIONAL COLLEGE

President June 2022-May 2023

• Organized teams for 15 inter-college events, guiding preparation and execution, winning 3 trophies, and hosting various cultural events

• Thalassemia health campaign, screening 200+ individuals and achieving a 2% early detection rate

• Initiated a 3-day Malang Fest with a sustainability focus, securing 200,000 in sponsorships and leading a 200-member team across 20 departments to deliver 50+ events, coordinating with 30 judges, and engaging over 3,000 attendees TECHNICAL SKILLS

• Tools & Platforms: Excel (VBA), Google Sheets (App Scripts), Tableau, Looker Studio, BigQuery, AWS

• Programming & Visualization: Python (Pandas, Dash, NumPy, Scikit-learn, TensorFlow, PyTorch, Django), SQL (PostgreSQL, SQLite, BigQuery), Linux/Unix (Ubuntu, Debian, Cron jobs), Seaborn, Plotly

• Data Science & Machine Learning: Linear & Logistic Regression, Decision Trees, XGBoost, LightGBM, Statmodels, Time Series Analysis

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