M

Mayuri sahu

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Madhya Pradesh, India

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Résumé

Jobs verified_user 0% verified
  • A
    Business data Analyst
    APPNEURAL Pvt Ltd.
    Feb 2025 - Current (1 year 8 months)
    Conducted market research and competitor analysis to identify industry trends. Assisted in gathering and analyzing business requirements from stakeholders. Developed reports and dashboards for data analysis and decision-making. Created detailed documentation, including business process models and workflows. Designed SQL queries for efficient data extraction and pipeline optimization. Conducted data analysis to provide actionable insights for strategic decisions..
  • 3
    Data Analyst
    360 DigiTMG
    Jul 2023 - Feb 2025 (1 year 8 months)
    Technical Skills- SQL, Power BI, Python, Tableau, Google Looker Studio, AWS, Excel. Developed and maintained comprehensive Power BI dashboards, visualizing key metrics and KPIs for various departments, significantly improving data accessibility and transparency across the organization. Designed SQL queries to extract and manipulate large datasets from multiple sources, creating a streamlined data pipeline for analysis. Conducted in-depth data analysis to support teams with actionable insights, identifying trends and anomalies to inform strategic business decisions. Collaborated with stakeholders to gather requirements and customize reports and dashboards, enhancing data accuracy and relevance for end-users.
Education verified_user 0% verified
  • S
    Diploma in Data Analytics
    STATE UNIVERSITYOF NEWYORK
    Nov 2024 - Apr 2025 (6 months)
  • D
    Bachelor in Economics
    Devi Ahilya University
    May 2016 - May 2019 (3 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • O
    Optimization of Material Mix and Power Consumption
    Nov 2024 - Feb 2025 (4 months)
    Problem: Lack of proper material mix was leading to increase in cost of production solution: Performed data analysis to know the correct material mix and power consumption Tools:
  • A
    Apparel Retail Operations Analysis
    Jun 2024 - Oct 2024 (5 months)
    Problem: Lack of data-driven insights on sales trends, customer behavior, and inventory. Solution: Performed data analysis and visualization to optimize sales and inventory decisions.
  • C
    Coal Price Analysis
    Feb 2024 - May 2024 (4 months)
    Problem: High coal price volatility affecting revenue and profit predictions. Solution: Analyzed historical pricing trends and influencing factors using SQL, Python, and EDA. Built interactive dashboards for insights.
  • O
    Optimization of Solar Power Generation
    Aug 2023 - Jan 2024 (6 months)
    Problem: Frequent energy fluctuations due to environmental variations and system inefficiencies. Solution: Collected and preprocessed data using Python, SQL, and EDA. Analyzed trends and optimized performance with Power BI, Tableau, and Looker Studio. Tools: SQL, EDA,