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waqar khan

@waqarkhan

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Data Analyst skilled in transforming complex datasets into insights.

United States

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What I'm looking for

I seek a role that fosters growth, encourages innovation, and values data-driven decision-making.

I am a Data Analyst and Data Science practitioner with hands-on experience in transforming large, complex datasets into actionable business intelligence. My expertise lies in Python, SQL, and PostgreSQL, where I have successfully optimized workflows and enhanced recommendation systems across various domains, including healthcare and finance.

Throughout my career, I have demonstrated a strong foundation in predictive modeling, ETL automation, and dashboard development using tools like Power BI and Tableau. I am passionate about solving real-world problems through data-driven storytelling and scalable analytics solutions, consistently delivering insights that drive decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Science Analyst I

Current

2AM Fusion

Feb 2025 - Present (5 months)

Enhanced voice-based menu search by implementing PostgreSQL vector similarity queries using pgvector, enabling semantic matching of user input to menu items. Improved recommendation quality by identifying frequently co-ordered items using SQL CTEs and COUNT-based pattern analysis on order history tables.

PostgreSQL Pgvector SQL Data Analysis Recommendation Systems Performance Monitoring

Data Analyst

JMM Technologies

Jan 2022 - Aug 2022 (7 months)

Optimized SQL queries for datasets exceeding 1M rows by implementing indexing and query refactoring, reducing data retrieval time by 15% and improving analytics pipeline performance. Built automated ETL workflows using Python scripts and SQL procedures, decreasing manual data processing by 20% and improving data accuracy across financial and healthcare datasets.

SQL Python ETL Power BI Tableau Data Validation Data Integrity

Research Assistant, Data Science

Bahria University

Sep 2020 - Dec 2021 (1 year 3 months)

Automated data cleaning and transformation processes using Python and Pandas by developing custom scripts for pharmaceutical research data, reducing preprocessing time by 30%. Designed and trained convolutional neural network (CNN) models to predict pharmaceutical compound efficacy, achieving 90% accuracy through chemical structure analysis and targeted feature engineering.

Python Pandas CNN Machine Learning Data Pipelines Hypothesis Testing Causal Inference

Data Analyst Intern

Ivy Interactive Solutions

Jan 2020 - Aug 2020 (7 months)

Extracted and validated MySQL datasets (1M+ rows), focusing on sales and marketing data to enhance business reporting accuracy, achieving 99% data precision through rigorous cross-checks and data profiling. Developed interactive Power BI dashboards visualizing customer retention KPIs and sales trends, automating insights via embedded SQL queries and reducing manual reporting errors.

MySQL Power BI SQL Customer Segmentation Python Marketing Analytics