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Ayushi N. — Junior Data Analyst from United States

Ayushi N.

Junior Data Analyst

United States 1-2 years
Open to offersNew to Platform
Languages
EnglishHindi
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About

Ayushi B., a data analyst based in Hoboken, NJ, brings a robust foundation in data science and computer engineering to her work. Holding an MS in Data Science from Stevens Institute of Technology and a BE in Computer Engineering from the University of Mumbai, she has honed her expertise in analyzing complex datasets, model building, and report automation. At Softmize Infotech, Ayushi leveraged Python and SQL to automate data extraction and reporting processes, significantly enhancing operational efficiency for retail and e-commerce clients. She reduced reporting turnaround from two days to same-day delivery, enabling timely insights into performance trends. Her skillfulness with Tableau and Power BI facilitated the creation of interactive dashboards that improved client reporting accuracy. Ayushi's advanced projects, including a crop recommendation system and drug side-effect prediction model, highlight her application of machine learning technologies like scikit-learn and XGBoost in deriving actionable insights.

Experience

  • Data Analyst

    Softmize Infotech · 2023 — 2024
    Conducted performance reporting for over six retail and e-commerce client accounts, utilizing SQL and Tableau. Automated daily data pulls to enhance reporting efficiency to same-day delivery. Extracted and consolidated data from various internal sources, including Snowflake with Python and SQL, creating reusable scripts that significantly cut manual data preparation time. Detected a recurring revenue decline in week-2 for three accounts through SQL trend analysis, notifying account managers of anomalies. Developed a linear regression model in Python to project monthly revenue based on order volume and seasonal trends. Automated data validation checks with Python, improving consistency in data quality across client deliverables.
  • Data Analyst Intern

    Softmize Infotech · 2022 — 2023
    Performed validation of over 10,000 rows of structured business data for four clients by employing SQL and Python, addressing issues such as missing values and duplicates. Analyzed weekly sales and performance trends across client datasets, using SQL and Excel to identify and rectify data anomalies prior to KPI reporting cycles. Enhanced the manual reporting process by creating Power BI dashboards to monitor essential business metrics, which resulted in significant time savings for the team.

Skills & Expertise

Education

  • Master of Science in Data Science
    Stevens Institute of Technology · — — 2026
  • Bachelor of Engineering in Computer Engineering
    University of Mumbai · — — 2023