Data Analyst

Abdul Raheem

US Citizen NJ ***********@*****.*** 551-***-**** LinkedIn GitHub

SUMMARY

Data Analyst & Scientist with 3+ years of experience in transforming complex datasets into actionable insights. Proficient in Python, SQL, Power BI, and machine learning. Proven track record in optimizing workflows, leading cross-functional teams, and delivering data-driven solutions for Fortune 500 companies and Pharmaceuticals.

EDUCATION

Rutgers University

Bachelor of Arts in Computer Science May 2024

WORK EXPERIENCE

Merck Pharmaceuticals Rahway, NJ

Data eDiscovery Analyst Oct 2024 – Present

• Manage confidential pharmaceutical datasets for legal teams, ensuring 100% compliance with FDA and GDPR regulations through rigorous QC processes.

• Design Power BI dashboards to automate litigation support workflows, reducing manual data aggregation time by 25%.

• Lead a team of 4 analysts to validate and sanitize data for legal cases, improving accuracy by 18% and accelerating case preparation timelines.

• Partner with compliance officers to structure data governance frameworks, mitigating risks in sensitive documentation. Nodesol Corp New York

Data Scientist Intern June 2023 – Aug 2024

• Engineered a Python-based demand forecasting model (TensorFlow) that reduced inventory costs by 11% for a $2M retail client.

• Automated ETL pipelines using SQL and PySpark, cutting data processing time by 17% and enabling real-time analytics for stakeholders.

• Spearheaded customer segmentation analysis (k-means clustering), boosting marketing campaign ROI by 13%. U.S. Department of State (VSFS Program) Washington D.C Data Analyst Intern Aug 2021 – Feb 2022

• Analyzed web traffic metrics (SQL/Python) to track KPIs, improving reporting efficiency by 13% for 5+ diplomatic platforms.

• Directed a 6-person intern team to deliver weekly insights via Tableau dashboards, enhancing stakeholder decision-making. TECHNICAL PROJECTS

Chicago Crime Rate Analysis Python, SQL, Tableau

• Predicted crime hotspots (linear regression) using 10+ years of data, enabling a 15% reallocation of patrol resources in high-risk zones.

• Built an interactive dashboard adopted by community safety teams to monitor trends. McDonald’s Nutritional Analysis Pandas, Clustering, Power BI

• Identified 12 low-cost, high-nutrient menu items using k-means clustering, informing a corporate health initiative. Employee Salary Optimization Python, MySQL

• Automated salary benchmarking reports, reducing HR processing time by 20% for a 500+ employee organization. SKILLS

Technical: Python (Scikit-learn, TensorFlow), SQL, Power BI, Tableau, Excel (Pivot Tables, VLOOKUP), ETL, Machine Learning, Java, R Data: Statistical Analysis, Predictive Modeling, Data Governance, QC, A/B Testing Soft Skills: Cross-Functional Leadership, Stakeholder Communication, Agile Project Management CERTIFICATIONS

• IBM Data Science Professional Google Analytics Certification

• Harvard Risk Management IBM Python for Data Science

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