Navyashree R
Data Analyst
Bengaluru
Summary
Highly motivated and ambitious Data Analyst prepared to take on the ever-evolving demands of managing and leveraging extensive data repositories. Passion for continuous learning drives active participation in effective data management initiatives. Strong desire to make a meaningful impact by providing immediate value to employers through valuable insights and contributions.
Overview
2025
2025
years of professional experience
4
4
years of post-secondary education
4
4
Certifications
3
3
Languages
Work History
Data Science Trainee
Almabetter
6 2024 - 2 2024
- Conducted Exploratory Data Analysis (EDA) using Python (pandas, matplotlib, seaborn) on datasets of over 100,000+ records, uncovering key trends that increased decision-making efficiency by 25 percent
- Designed and developed interactive dashboards and reports in Power BI and Tableau, improving business intelligence and reducing manual reporting time by 30 percent
- Performed data cleaning, wrangling, and validation on large datasets using SQL and Excel, ensuring 99 percent accuracy in data integrity for detailed analysis and reporting
Data Analyst Intern
Unified Mentors
08.2024 - 10.2024
- Conducted exploratory data analysis (EDA) on Amazon sales data to identify trends, optimize inventory, and improve sales forecasting, leveraging Python, SQL, and data visualization tools
- Designed and implemented interactive dashboards (FIFA, HR) using Power BI and Tableau to provide actionable insights, track KPIs, and support data-driven decision-making
Education
Bachelor of Science -
KLE Society's S Nijalingappa College
09.2020 - 09.2023
Full Stack Data Science and AI - undefined
Almabetter
01.2024 - 07.2024
Skills
Python
SQL
Tableau
Excel
Power BI
PyCharm
Jupyter Notebook
Google Colab
PGAdmin
Pandas
Numpy
Matplotlib
Seaborn
Sci-kit Learn
Machine Learning
Python Programming
Power BI Tools
Data Wrangling
SQL Databases
Projects
Just-Watch-Web-Scraping, 02/01/24, 03/01/24, Developed and implemented automated web scraping solutions using Python libraries such as Beautiful Soup and Scrapy, effectively extracting and analyzing data from various online sources to enhance data-driven decision-making., Designed and optimized data pipelines for processing and storing scraped data in SQL databases, ensuring data integrity and accessibility for further analysis and reporting. Music Store Analysis SQL, 07/01/24, 08/01/24, Conducted comprehensive SQL analysis of sales data, identifying trends and generating insights that enhanced inventory management and marketing strategies for a music store., Developed interactive dashboards using SQL queries to visualize key performance indicators (KPIs), improving decision-making processes and facilitating data-driven strategies within the organization. Heart Disease Prediction, 08/01/24, 09/01/24, Developed a machine learning model using Python to predict heart disease risk, implementing algorithms like Logistic Regression, Decision Trees, and Random Forests, achieving a high accuracy score., Conducted data preprocessing, feature engineering, and hyperparameter tuning to optimize model performance, leveraging libraries such as Pandas, Scikit-learn, and Matplotlib for data analysis and visualization.
Training
- Almabetter, Data Science Trainee, 06/01/24, 02/01/24, Conducted Exploratory Data Analysis (EDA) using Python (pandas, matplotlib, seaborn) on datasets of over 100,000+ records, uncovering key trends that increased decision-making efficiency by 25 percent., Designed and developed interactive dashboards and reports in Power BI and Tableau, improving business intelligence and reducing manual reporting time by 30 percent., Performed data cleaning, wrangling, and validation on large datasets using SQL and Excel, ensuring 99 percent accuracy in data integrity for detailed analysis and reporting.
- Unified Mentors, Data Analyst Intern, 08/01/24, 10/01/24, Conducted exploratory data analysis (EDA) on Amazon sales data to identify trends, optimize inventory, and improve sales forecasting, leveraging Python, SQL, and data visualization tools., Designed and implemented interactive dashboards (FIFA, HR) using Power BI and Tableau to provide actionable insights, track KPIs, and support data-driven decision-making.
Technologies
Python, SQL, Tableau, Excel, Power BI, PyCharm, Jupyter Notebook, Google Colab, PGAdmin, Pandas, Numpy, Matplotlib, Seaborn, Sci-kit Learn
Certification
[Data Analytics Assessment], [LearnTube]
Timeline
[Data Analyst Intern] Training - [2 months]
09-2024
[Data Analytics Assessment], [LearnTube]
08-2024
[Data Analytics and Visualization], [Accenture] - [1 week]
08-2024
Data Analyst Intern
Unified Mentors
08.2024 - 10.2024
[Full Stack Data Science and AI] Training - [6 months]
01-2024
Full Stack Data Science and AI - undefined
Almabetter
01.2024 - 07.2024
Bachelor of Science -
KLE Society's S Nijalingappa College
09.2020 - 09.2023
Data Science Trainee
Almabetter
6 2024 - 2 2024