Hey, this is Sophia. 👩🏻‍💻

I’m an a Machine Learning enthusiast who is keen to deliver exciting insights on the data and always ready to work on new challenges in the field of Data Analytics/Science.
Check out my projects
#daily routine
import coffee
while CoffeeMachine.level() > 0:
    CoffeeCup.drink()
About Me
“It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.” — Sherlock Holmes🕵🏼‍♂️ (Arthur Conan Doyle, A Scandal in Bohemia)
🔥Aspiring Data Analyst with an interdisciplinary background in law, marketing, and finance; proficient in:
▪ Programming: Python (Pandas, NumPy, Matplotlib, Seaborn), RStudio (dplyr, ggplot2)
▪ Data Visualization: Tableau Software
▪ Database: SQL, Postgre SQL
💪 Building physical and mental endurance on the 🏋🏽 gym floor, 🏐 volleyball court, and ⛳️ golf course
My Projects📈
🐶 Amazon Hackathon Challenge 2022
Calculating "WOOF" 🐕 score using Python – Numpy, Pandas, Seaborn, Matplotlib, Scikit-Learn
🎖Rewarded "Honorable Mention"🎖
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Sentiment Analysis 🎥
Sentiment Analysis on IMDB Movie Reviews🍿, using Python – Numpy, Pandas, Seaborn, Matplotlib, Scikit-Learn, NLTK
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Exploratory Data Analysis 🏨
Exploratory Data Analysis on Hotel Booking Demand 🏖, using Python - Numpy, Pandas, Seaborn, Matplotlib
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