FlowCV Logo
resume profile picture
PRIYANKA A DATA ANALYST
Profile
  • •Highly motivated and detail-oriented fresher with a strong foundation in data analysis, statistical modeling, and data visualization. Proficient in MS Excel, SQL, and Python. Eager to apply analytical skills to drive business growth and improvement.



Education

M. Sc. Data Science *

Vellore Institute of Technology
09/2022 – 06/2024 | Vellore

Bachelor Of Computer Application (BCA)

Thiruvalluvar University
06/2019 – 05/2022 | Vellore
Skills
Data Analysis
Data Visualization — Power Bi
Python — Jupyter Notebook
Data Cleaning
R studio
Microsoft Office — Word, Excel, Power Point
Projects

AUTOCORRECT KEYBOARD WITH PYTHON

  • •Python: Proficiency in Python programming language, essential for implementing autocorrect functionality.
  • •Probability: Understanding of probability theory for developing algorithms to suggest the most likely corrected word.
  • •NLP (Natural Language Processing): Knowledge of NLP techniques to process and analyze text data for autocorrect suggestions.

    • ROAD ACCIDENT ANANLYSIS DASHBOARD (POWER_BI)

  • •Power BI: Mastery of Power BI software for creating interactive and insightful dashboards for road accident analysis.
  • •DAX (Data Analysis Expressions): Proficiency in writing DAX formulas to perform calculations and create custom measures for analyzing accident data.
  • •Data visualization: Ability to design effective visualizations to present accident data trends, patterns, and insights clearly and intuitively.

    • SALES ANALSYS DASHBOARD (POWER_BI)

  • •Power BI: Proficiency in utilizing Power BI to create dynamic and interactive sales analysis dashboards.
  • •Data Visualization: Skill in designing visually compelling charts, graphs, and maps to represent sales data effectively in the dashboard.
  • •Decision Making: Ability to extract actionable insights from sales data presented in the dashboard to support informed decision-making processes.

    • MUSIC RECOMMENDATION SYSTEM WITH SPOTIFY USING POWER BI DASHBOARD

  • •Python: Proficiency in Python for accessing Spotify's API and extracting music data for the recommendation system.
  • •Power BI Dashboard: Skill in designing interactive dashboards in Power BI to visualize and present music recommendations and user preferences.
  • •Spotify: Knowledge of Spotify's API and data structures for retrieving music metadata and user preferences to personalize recommendations within the system.