Arbaaz M.

Arbaaz M.

Data Analyst

Followers of Arbaaz M.22000 followers
location of Arbaaz M.Dubai, United Arab Emirates

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  • Timeline

  • About me

    Data Science & Analytics @EXL | Retail | Ecomm | Qcomm | Consulting Business Intelligence, Analytics Engineering, Data Science and AI Solutions / products for Businesses.

  • Education

    • National Junior College, Kudus

      2016 - 2018
      HSc Science IT 71%

      Deputy Head Council

    • National English School Kudus

      2006 - 2016
      SSC A+
    • B N Bandodkar college of science Thane (MU)

      2018 - 2021
      Bachelor's degree Computer Science A+ (9.4)CGPA

      Activities and Societies: Served as NSS volunteer at- B.N. Bandodkar College of science, Thane.

    • JAI HIND COLLEGE, MUMBAI

      2021 - 2023
      Master's degree Big Data Analytics
  • Experience

    • Uniweld Electrodes Pvt Ltd

      Mar 2021 - Aug 2021
      Data Analyst

      Led operations management, Analyzed production, sales, internal operations data . Developed interactive dashboards and reported to stakeholders. Managed operations, handled supply-chain as well worked as IT administrator tooo.

    • Market Search India

      Feb 2022 - Jun 2022
      Data Analyst
    • E-tailize

      Jan 2023 - May 2024
      Data Scientist

      ◦ Analytics Engineering:Developed a multi-faceted data and analytics product for E-commerce sellers on Azure cloud platform. Thisproduct included an OLAP system for data ingestion, processing, and analysis. constructed key performanceindicators (KPIs) and reports, utilizing data modeling techniques (star schema/snowflake schema) and Power BI fordata visualization. This comprehensive solution led to a 20% increase in identifying high-potential revenueopportunities, enabling targeted marketing campaigns.◦ Data Science:Spearheaded the development of a Python-based time series machine learning model usingFB-Prophet for demand planning and forecasting. a major hurdle for optimizing stock levels and maximizing revenue. By leveraging historical sales data,Exploratory data analysis, demographics, seasonality trends, and external factors, the model achieved a 15%improvement in sales accuracy.◦ Led the development of a Customer-Product sentiment analysis system , focusing on customer feedback forproducts sold by sellers on the e-commerce platform. This data-driven approach yielded a substantial 20% increasein customer satisfaction scores. The system assigned custom metrics to capture positive and negative customersentiment, identifying key areas for product improvement. By leveraging Python NLP libraries, OpenAI GPT-3.5models, AzureSql and AzureCosmosDB for data storage. we extracted actionable insights and recommendationsthat empowered sellers to optimize their product offerings, leading to increased sales and a strengthenedcompetitive advantage.◦ Business Analytics: Developed a data-driven solution to performance visibility challenges at E-tailize, leading acomprehensive business analytics project. Developed customdashboards that tracked key metrics (total active users, daily/monthly active users, ARPU, YoY/QoQ/MoM sales growth, retention rate, churn rate, and customer satisfaction score. Show less

    • EXL

      Jul 2024 - now
      Consultant - Data Science & Analytics
  • Licenses & Certifications

  • Volunteer Experience

    • Volunteer

      Issued by National Service Scheme on Aug 2019
      National Service SchemeAssociated with Arbaaz M.