Data Analyst - Python - Power BI - SQL
Resume:
*************@*****.***
linkedin.com/in/yogapriya-p-24040p
github.com/YogaPriya2000
YOGAPRIYA P
DATA ANALYST
SUMMARY
Engineering graduate with a background in EEE and hands-on experience in Data Analytics through internship projects. Previously worked as a Customer Relationship Executive (1.5 years), now pursuing a career in IT/Data Analytics driven a strong interest in technology and continuous learning. Proficient in data cleaning, data visualization, business analytics, with practical knowledge of tools such as Python, Power BI, Excel, and SQL and newly acquired technical expertise to build a successful career in IT/Data Analytics. Demonstrated adaptability and a quick learning ability during career transition from non-IT to IT, with a passion for delivering actionable business insights and solving real- world problems using data. EXPERIENCE
Infotact Solutions May 2025 – Jul 2025
(Data Analytics Intern)
— Built a solid foundation in Python covering variables, loops, conditions, functions and data structures.
— Learnt libraries Pandas, NumPy, Matplotlib, Seaborn.
— Created Dashboard using BI tool Tableau
— Applied statistical technique to analyse central tendency, variability and distribution pattern.
Novitech R&D Pvt. Ltd. Feb 2025 - Mar 2025
(Data Analytics Intern)
— Gained knowledge in advanced Excel concepts, VBA macros Automation.
— Worked with data in MySQL.
— Created Multiple Dashboard in Power BI, Understood DAX formulae, Modelling.
— Python Libraries and basic ML concepts.
TECHNICAL SKILLS
— Python (Pandas, NumPy,
Matplotlib, Seaborn, Scikit-
learn)
— MYSQL
— Power BI
— Tableau
— Excel, VBA Macros
— Statistics
PROJECTS
Uber Trip Analysis May 2025
— Data visualization & BI solution built using Power BI.
— The project aims to analyse historical Uber ride data to uncover trends, understand rider behaviour, and provide actionable insights to enhance operational efficiency and customer experience.
Tools Used: Power BI (Power Query, DAX, Interactive Reports) GitHub: github.com/YogaPriya2000/Uber_DA-Repo.git
Customer Segmentation (KMeans Clustering) Jul 2025
— categorize customers into distinct groups based on their behaviour or purchasing patterns to help businesses personalize marketing strategies.
— Identifying customer segments from raw data and use clustering to find similar behaviour groups
— Providing actionable insights for business decisions. Tools Used: Python (Pandas, Matplotlib, Seaborn, Sklearn, Streamlit) GitHub: github.com/YogaPriya2000/Customer-Segmentation-KMeans- Clustering-
SOFT SKILLS
— Problem-solving,
— Time Management
— Business Analysis,
— Strong Communication
— Adaptability
— Curiosity & Eagerness to Learn
EDUCATION
Bharathidasan Engineering College Jul 2017 – Aug 2021
(BE - Electrical and Electronic Engineering)
CGPA 8.65
CERTIFICATE
— Tata’s Data Visualisation :
Empowering Business Effective
Insights Job Simulation on
Forage -Sept 2025. (Created
visualizations for TCS)
— Python Crash Course -
Challenge from Besant
Technology (20/07/2024)
— Data Analytics Masterclass
from Novitech R&D Private
Limited. (24/02/2025 to
03/04/2025).
— "Data Visualization with Power
BI" Certificate on Great
Learning on (May 2025).
KNOWN LANGUAGES
— English (Fluent)
— Tamil (Native)
— Hindi (intermediate)
Contact this candidate