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Kavya

"Believe you can and you're halfway there." - Theodore Roosevelt
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About Me

Hello! I'm Kavya!I'm a self-taught Data & AI Enthusiast with Testing background. I am highly ambitious and self-motivated, always eager to expand my knowledge of Data & AI concepts. I hold a Bachelor's degree in Electrical and Electronics Engineering.

In my learning journey, I prefer working with Python and utilize platforms such as Google Colab and Kaggle and VS code. I primarily rely on free and open-source resources like Coursera, Kaggle, YouTube, Medium, Google's ML programs, Microsoft Data Science programs, GitHub, LinkedIn, and extensive online research . I firmly believe in the immense potential of these open-source resources to create wonders.

Aside from my passion for data science, I also enjoy writing articles. Currently, I am publishing blogs on Medium, where I share the concepts and insights I have gained. It's my way of giving back to the community that has taught me so much! Additionally, I am an Artist and Calligrapher, pursuing these creative passions alongside my data science endeavors : )

I'm always looking for new opportunities to learn and grow, and I'm excited to see what the future holds for me in data science!

Data Science Projects

EDA on the Online Payment Fraud Detection

Exploratory Data Analysis and Data Visualization on the Online Payment Fraud Detection using Python.

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Used Phones Pricing Analysis and Prediction

Building a regression model to predict the price of used phones that could be helpful in reselling the used phones.

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Heart Attack Analysis & Prediction

Predicting whether a patient has chance of getting heart attack or not based on the clinical parameters using Classification algorithms.

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Asian games athletics web scraping

Web scraping project on the list of countries who bagged medals in atletics from the year 1951-2022 using Beautiful Soup and Python.

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Car Price Prediction

Predicting the price of the car using Regression algorithms. Performing EDA and trying out different types of regerssion algorithms and picking up the best model based on based on Mean Absolute Error (MAE) and Mean Squared Error(MSE).

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Movie Recommendation System

Creating movie recommendation system based on content based filtering and collaborative based filtering on Movie Lens dataset

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Customer Churn Prediction

Predicting customer churn based on Classification algorithms. Performing EDA and trying out different types of classification algorithms and picking up the best model based on maximum Accuracy.

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BI Projects

Atliq Technologies Sales Insights

A sales insights BI Dashboard created to address challenges in comprehending business performance due to declining sales and inadequate reports from regional managers.

Atliq Technologies HR Analytics

A HR Analtics BI Dashboard created to monitor employee presence and identifying patterns of absenteeism.

Virtual Internships

NSW Government Data Analytics virtual internship

Data Analytics virtual internship program by NSW Government through Forage. This internship is about to analyse workforce data and report on trends in part-time working.

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British Airways Data science virtual internship

Data science virtual internship programme by British Airways through Forage. This internship is about analyzing customer reviews using sentimental analysis and highlighting our insights and analysis.

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Skills

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