EXPERTISE
Web Scraping
Web scraping to efficiently extract data from various online sources, including websites, APIs, and databases.
Joining, merging, and harmonizing information from disparate sources and formats and integrating it into unified, high-quality datasets.
Machine Learning
Leveraging the power of predictive analytics to help clients anticipate and adapt to future trends. By combining historical data with real-time insights, I develop sophisticated forecasting models that provide a clear vision of what lies ahead.
Using natural language processing (NLP) capabilities and techniques like sentiment analysis, text classification, topic modeling, named entity recognition, and parts of speech tagging to extract deep insights from unstructured text data, uncover hidden patterns, classify content, and identify key entities and themes.
Data Analysis
Solving complex business problems and empowering clients to make strategic, data-driven decisions, by using advanced data analysis techniques, and generating actionable insights and tailored recommendations.
Utilizing exploratory data analysis (EDA) to delve deeply into the data, uncovering hidden patterns, relationships, and trends that drive business decisions.
Data Visualization
Generating visually appealing and insightful plots, charts, and graphs that effectively communicate complex data in a clear and concise manner.
Creating dynamic and interactive dashboards that enhance user experience, enable interactive exploration of data and facilitate deeper engagement.
Creating compelling data stories that communicate key findings and recommendations that empower informed decisions.
SKILLS & TECHNOLOGIES
Web Scraping
Python (Requests, Tweepy, Beautiful Soup), HTML, CSS.
Machine learning
Scikit Learn, Tensorflow, Keras, NLP(NLTK, Spacy, Gensim)
Visualization
Python (Seaborn, Matplotlib), Tableau, ggplot, Spreadsheets.
Analysis
Python (Pandas, Numpy, StatsModels, Scipy), Spreadsheets, SQL.
PORTFOLIO
ANALYZING THE ENGLISH PREMIER LEAGUE WITH SQL
Analyzing the English Premier League matches; from most goals in a match to the full premier league table of 2009/2010 season.
HYPOTHESIS TESTING: GOALS IN WOMEN'S AND MEN'S MATCHES
A detailed analysis to determine whether more goals are scored in women’s soccer matches than in men's.
A DEEP DIVE INTO THE VIDEO GAMES DATASET
Exploring the video games dataset in detail.
ANALYZING AND PREDICTING EMPLOYEE ATTRITION
Analysis of the HR dataset to identify reasons for employee attrition
IMPORTING DATA IN PYTHON
Showing different ways of importing data from different from formats into python.
SENTIMENT ANALYSIS OF AIRLINE TWEETS
Utilizing Natural Language Processing for sentiment analysis of tweets.
FEATURE SELECTION TO EVALUATE PREDICTIVE MODELS
Employing various methods for feature selection as a preprocessing step to decrease dataset dimensionality and enhance model efficacy.
PREDICTING CUSTOMER CHURN IN A BANK
Predicting bank customer churn through ensemble techniques with 0.87 accuracy.
PREDICTING THE PROBABILITY OF FLOODS
Predicting the likelihood of floods occurring with an R2 score of 0.84
KIDNEY STONE PREDICTION
Using binary classification to predict kidney stone presence or absence.
PREDICTING CONCRETE STRENGTH
Predicting concrete strength using XGBoost and ensemble techniques for regression.
WEB SCRAPING FC 24 PLAYERS STATS FROM EASPORTS.COM
Using Python tools to scrape and collect EASports FC 24 player traits, statistics, and features.
WEB SCRAPING VIDEO GAMES DATA
Gathering video games data from IMDb via web scraping using Python tools
ANALYZING CUSTOMER CHURN
Analysis to identify key factors influencing customer churn.
EMPLOYEE ATTRITION SUMMARY
A summary of the key reasons for employee attrition.
GAME ANALYSIS
A comprehensive analysis of games genre, release year, publisher etc.
BIKE SHARING SUMMARY
A summarized analysis of the bike sharing dataset by gender, subscription and time.
MOVIES ANALYSIS
Exploration of the movies dataset.
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BLOG
Article about common data files and how to import them into Python for analysis.
FEATURE SELECTION
How do you handle a dataset with hundreds or thousands of features? Find out here...
HOW TO PLOT WITH GGPLOT2
There is a simple trick to plotting with GGPLOT2 in R. We break it down in this article.
Contact Me
Phone : +254728542793
Email : davis.anunda@gmail.com