About
Data Analyst with strong analytical and statistical expertise, specializing in integrating, transforming, and analyzing large-scale datasets using Python, SQL, AWS, and Snowflake. Experienced in automating ETL pipelines and developing BI dashboards with Power BI and Tableau to drive data-informed decisions. Proficient in exploratory data analysis (EDA), data visualization, data storytelling, and data science. Skilled in time series forecasting and applying machine learning frameworks (Matplotlib, Scikit-learn, TensorFlow) and models (Random Forest, XGBoost, Large Language Models (LLMS)) for classification, clustering, and regression to deliver actionable insights through predictive modeling. Experienced in data warehousing and engineering to build efficient, robust business solutions.
Skills & Expertise (37)
Work Experience
Data Engineer
KunoSolTech LLC
Oct 2025 - Present
Led design and development of high throughput ELT pipelines in Python and SQL to process 200M structured and semi-structured records into Snowflake with incremental loading, reducing latency by 35 percent and supporting ingestion across 8 plus systems. Architected a multi-layer Snowflake data platform, implementing clustering optimization, micro-partition pruning, and warehouse auto-scaling, improving query performance by 40 percent and reducing compute costs by 25 percent across analytical workloads. Developed reusable, metadata-driven ingestion frameworks with schema validation, transformation abstraction, and embedded quality enforcement, increasing reliability to 99.5 percent uptime and standardizing ingestion across 10 plus datasets. Implemented near real-time processing using Snowflake Streams and Tasks, enabling CDC-based transformations and automated downstream materialization, reducing data availability lag from hours to under 10 minutes. Optimized complex analytical workloads using execution plan analysis and QUERY_HISTORY profiling, resolving bottlenecks in high-volume environments and cutting long-running query execution times by up to 50 percent. Established fault-tolerant orchestration workflows with structured logging, monitoring, and retry mechanisms, reducing pipeline failure rates by 60 percent and ensuring consistent recovery during transient system or network failures.
Data Analyst (Intern and Full time)
Nucleus Business Solutions
Oct 2022 - Dec 2023
Engineered and automated end-to-end ETL pipelines from SQL Server to Snowflake, reducing manual reporting time by 45 percent, eliminating 12 plus hours per week of manual processing, and enabling real-time analytics for 20 plus stakeholders. Developed a robust K-Means clustering model to segment users by browsing patterns, improving marketing targeting accuracy, personalizing campaigns effectively, and increasing user engagement by 18 percent over a detailed three-month evaluation period. Scraped competitor pricing data from 50 plus sites using Python (BeautifulSoup, Requests) and integrated with internal SKU/margin data, enabling pricing optimization that increased profits by 7 percent across high-revenue product categories. Built and deployed Power BI dashboards with advanced DAX, drill-throughs, and custom filters. Adopted by 15 plus teams, these dashboards enabled real-time KPI tracking, streamlined workflows, and reduced reliance on manual Excel reports. Conducted comprehensive A/B testing on recommendation logic, boosting click-through rates by 12 percent and driving a 6 percent increase in repeat purchases, improving overall customer retention and loyalty metrics significantly. Configured AWS IAM and Snowflake RBAC to securely protect sensitive datasets with 100 percent compliance, and streamlined recurring report generation via Excel VBA macros, cutting delivery time from 2 days to under 4 hours consistently.
Education
Master of Science in Data Science - State University of New York at Buffalo
2024 - 2025 · Afghanistan
Bachelor of Technology in Electrical and Electronics Engineering - VNR VJIET
2019 - 2023 · Afghanistan
Certifications
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Skills (37)
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