Business Analyst Project Manager

M. AHMED DAWOOD

Dallas, Texas, ***** 214-***-**** *.*******@*******.*** Linkedin

PROFESSIONAL SUMMARY

Results-driven Business Analyst Data Analyst Project Manager with 4+ years of experience in data analytics, business intelligence, and process optimization. Skilled in SQL, Python, Power BI, Tableau, and AWS, with expertise in stakeholder collaboration, market research, and decision-making analytics Chess team UTD Soccer team midfielder EDUCATION

The University of Texas at Dallas - Master of Science, Business Analytics and AI May 2025 Lahore University of Management Sciences, Lahore - BS(Honors), Economics and Political Science May 2020 PROJECTS

Multi-Category Plant Disease Image Classification

Tackled the challenge of identifying overlapping plant diseases by building a multi-label image classification system. Developed a deep learning pipeline using EfficientNet, ResNet-50, and InceptionResNetV2, enhanced with advanced data augmentation and F1-score-based threshold tuning. Achieved a 25% improvement in precision and reached a final F1 score of 0.89 on the competition dataset. Fake Job Posting Detection Using NLP and Machine Learning Tackled a critical real-world problem of identifying fake job postings, a growing threat in online recruitment. Designed and implemented a full-stack machine learning pipeline from raw text ingestion to model deployment. Applied advanced NLP methods for thorough text cleaning, normalization, and feature extraction (TF-IDF, POS tagging). Trained and fine-tuned multiple models, with Logistic Regression achieving an F1 score of 0.91. Ensured high model reliability through rigorous cross-validation, making the system robust and deployable.. WORK EXPERIENCE

Blupixel, Lahore, Pakistan - Business Analyst Apr 2022 – Sept 2023

● Boosted sales conversion by 35% through predictive analytics, customer segmentation, and market intelligence using SQL and Python.

● Developed and automated real-time dashboards in Power BI & Tableau, increasing decision-making speed by 51% and enhancing executive reporting.

● Led cross-functional teams to optimize business intelligence workflows, reducing manual data processing by 38% and improving operational efficiency.

Ministry of Health, Muzaffarabad, Pakistan - Project Manager Data Analytics, District Vaccine Roll-out Strategy Sept 2020 - Mar 2022

● Designed a district-wide vaccination strategy, ensuring efficient COVID-19 vaccine distribution to 400,000+ individuals with an 87% success rate.

● Implemented Python-based clustering models, optimizing vaccination center locations and reducing logistical inefficiencies by 14%.

● Led a team of 150+ healthcare professionals, streamlining operations and minimizing service delays by 22% through data-driven workforce management.

● Conducted post-vaccination analytics using survey insights, statistical modeling, and regression analysis, improving vaccine efficacy assessment.

DARAZ-Alibaba Group, Lahore, Pakistan - Operations Specialist May 2021 - Oct 2021

● Managed last-mile logistics for 600,000+ deliveries, reducing package losses by 73% by integrating GPS tracking and vendor management analytics.

● Expanded in-house delivery operations to 4 major cities, reducing dependency on third-party services and boosting distribution efficiency by 29%.

● Built a dynamic performance monitoring system in Power BI, identifying bottlenecks and enhancing delivery speed by 20%. Mammoth Tours and Trekkers, Lahore, Pakistan - Business Analyst June 2019 - May 2021

● Developed an AI-driven demand forecasting model using Excel, Tableau, and Python, optimizing resource allocation and increasing profit margins by 21%.

● Automated real-time vendor confirmations, reducing booking confirmation time from 24 hours to under 5 minutes, increasing successful bookings by 37%.

● Implemented customer segmentation models using SQL & R, improving targeted marketing efforts and boosting customer retention by 22%.

● Designed operational KPIs and automated reporting dashboards, improving executive decision-making and increasing business efficiency by 14%.

TECHNICAL SKILLS

Programming & Analytics: Python, R, SQL, Excel

Data Visualization: Power BI, Tableau, Matplotlib, Seaborn Machine Learning & NLP: Scikit-learn, TensorFlow, Keras, Natural Language Processing (NLP), Statistical Modeling Databases & Cloud: MySQL

Tools & Technologies: Apache Spark, Hadoop

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