Waleed Hassan

Analyzed large datasets using SQL, Python (Pandas, NumPy, Seaborn, Matplotlib), and Excel, generating actionable insights that increased decision-making efficiency by 30%. Designed and implemented data visualization dashboards in Power BI, enhancing executive reporting processes and reducing report generation time by 50%. Collaborated with cross-functional teams to streamline ETL processes, improving data quality and reducing processing time by 25%.

Data Analyst - StepUp Sol - Islamabad, Pakistan

(2024-05 - 2026-06)

• Analyzed large datasets using SQL, Python (Pandas, NumPy, Seaborn, Matplotlib), and Excel, generating actionable insights that increased decision-making efficiency by 30%.
• Designed and implemented data visualization dashboards in Power BI, enhancing executive reporting processes and reducing report generation time by 50%.
• Collaborated with cross-functional teams to streamline ETL processes, improving data quality and reducing processing time by 25%.
• Collaborated with cross-functional teams to ensure data accuracy and completeness.

AI Assistant Trainer - KPITB (Khyber Pakhtunkhwa IT Board)

(2026-01 - 2026-05)

• Structured training sessions on Artificial Intelligence and Machine Learning, covering core concepts and real-world applications.
• Mentored and supervised student teams on AI-based projects, providing technical guidance on model development and implementation.
• Assisted students in applying machine learning and Generative AI concepts to practical use cases.
• Designed and explained key topics including NLP, data preprocessing, and model evaluation techniques.
• Provided hands-on support in project development, debugging, and performance optimization.

Business Analyst - Turing - United States

(2026-01 - 2026-06)

• Performed side-by-side (SxS) evaluations on LLM outputs to assess response quality, accuracy, relevance, and consistency.
• Conducted detailed fact-checking and validation to identify inaccuracies, inconsistencies, and unsupported claims.
• Prepared clear, evidence-based justifications to support evaluation outcomes and maintain high review quality.
• Applied established evaluation guidelines, scoring frameworks, and quality standards across all assessment tasks.
• Utilized browser-based tools, extensions, and research methods to support analysis and review workflows.
• Executed basic command-line operations to assist with evaluation processes and data handling tasks.
• Documented findings, summarized insights, and communicated key observations effectively to stakeholders and team members.

Data Analyst - Infinity Bits - Islamabad, Pakistan

(2024-01 - 2024-06)

• Utilized SQL, Python (Pandas, NumPy), and Power BI to extract, clean, and transform large datasets from various sources.
• Developed predictive models using machine learning techniques to forecast future trends and optimize decision-making processes.
• Performed statistical analysis (e.g., hypothesis testing, correlation analysis) to uncover meaningful patterns and trends.

Bachelor's in Computer Science - Data Science - University of Engineering and Technology Mardan (2022 - 2026)