I am a fresher in Data Analytics and Data Science with a passion for transforming data into actionable insights. I have a strong academic background and hands-on experience in data analysis, visualization, and machine learning.
- 📧 Email: [email protected]
- 💼 LinkedIn: Ankita Biradar
- 🐦 X/Twitter: @biradar_ankita
- 🐙 GitHub: ankita1408
- 🎓 Master's in Data Science and Big Data Analytics
- 🔧 Skills in SQL, Python, Tableau, Power BI, Excel, Machine Leaning, Stats
- 💻 Experienced in data cleaning, exploratory data analysis, and predictive modeling
- 🌱 Always learning and developing new skills to enhance my capabilities
- 🎯 Passionate about solving real-world problems using data-driven solutions
Analyzed population trends from 1970 to 2022 across countries and continents using Python libraries like Matplotlib and Seaborn.
SQL-based analysis and Tableau visualization of Covid-19 data, showing global cases, deaths, and vaccination trends.
Cleaned and preprocessed customer data, ensuring high data quality and removing inconsistencies.
Scraped business data from Wikipedia to analyze revenue, profits, and growth of India's largest companies.
Visualized IPL match data, showcasing insights like top players, umpire impact, six counts, toss decision outcomes, and season-wise match wins by teams, using Power Query for data cleaning and dashboard creation.
Analyzed bike sales data, visualizing metrics like average income of purchasers, customer age brackets, and commute distances. Applied filters for marital status, region, and education.
Developed an interactive dashboard to analyze content and user engagement, visualizing total movies and shows by year, country, genre distribution, top 10 genres, and rating distribution.