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Shah Hassan wazir

Shah Hassan wazir

data Scientist , business analyst , data analyst
Abu Dhabi, أبوظبي

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About Shah Hassan wazir:

SHAH HASSAN Business Intelligence & Data Scientist

SUMMARY Data Scientist with over four years of experience in data analysis, modeling, and visualization for e-commerce and health domains. Skilled in using Python, SQL, Power BI, Tableau, Hadoop, Spark, and Azure DevOps to deliver data-driven solutions that drive business success. Proficient in machine learning, databases, data engineering, and business intelligence.

WORK EXPERIENCE Conaxiom | Austin, Texas USA (Dubai, UAE) Data Scientist & Data Analyst | 06-2022 ng

Experience

                    Conaxiom | Austin, Texas USA (Dubai, UAE) Data Scientist & Data Analyst | june-2022 may-2023

Analyzed large-scale e-commerce and health data sets using Python, SQL, Hadoop, and Spark to extract insights and generate reports.
Built predictive models using machine learning techniques such as regression, classification, clustering, and recommendation systems to optimize business processes and outcomes.
Created interactive dashboards and visualizations using Power BI and Tableau to communicate findings and recommendations to stakeholders.
Collaborated with cross-functional teams to understand business needs, define project scope, and deliver solutions that met or exceeded expectations.
Waxir Properties LLC | Abu Dhabi, UAE Business Analyst | feb-2022 - june-2022

Conducted market analysis, business planning, financial feasibility assessment, and risk mitigation for real estate projects using Excel and Power BI.
Gathered requirements from clients and stakeholders using interviews, surveys, and workshops to define project scope and objectives.
Prepared project documentation such as business cases, proposals, contracts, and reports using Word and PowerPoint.
Monitored project performance using KPIs and metrics to ensure quality and timely delivery.
Neo Business Solution | Peshawar KPK, Pakistan Data Scientist & Data Analyst | jan-2021 - jan-2022

Performed data wrangling, exploratory analysis, statistical inference, and machine learning on various data sets using Python, R, SQL, and KNIME.
Developed data pipelines and workflows using Kafka, Nifi, Azure DevOps, and Teradata to automate data collection, processing, and storage.
Implemented natural language processing and computer vision techniques to analyze text and image data using libraries such as NLTK, spaCy, OpenCV, and TensorFlow.
Presented data science findings and solutions to clients and stakeholders using storytelling techniques

Education

 bachelor  of Science in Computer Science | 2015 - 2019 university of agriculture Peshawar  | Pakistan Certification in Machine Learning | 2020 Coursera

AWARDS Data Science Excellence Award | 2020 Conaxiom
 

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