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Soha Tariq's Projects

amazon_vine_analysis icon amazon_vine_analysis

Analysis to determine if there is a positivity bias in product reviews written by Amazon Vine members. The ETL process and analysis uses PySpark, Python (Pandas), SQL, Amazon Web Services (AWS), and pgAdmin.

bikesharing icon bikesharing

Creates a dashboard to analyze the NYC Citi Bike sharing data, in order to convince investors to start a similar bike sharing program in another city. Uses Tableau and Python (Pandas library).

bikeshire icon bikeshire

Runs queries on the 59 million records in the BigQuery public dataset New York Citibike, in addition to making data visualizations on Google Cloud Platform (GCP), using Cloud SQL (MySQL), Vertex AI, Cloud Shell, and Cloud Storage buckets in Google Cloud Platform (GCP).

biodiversity icon biodiversity

Creates an interactive dashboard which allows the individual to visualize their bellybutton bacterial biodiversity data. Uses JavaScript (Plotly.js and D3.js libraries) and HTML.

credit_risk_analysis icon credit_risk_analysis

Supervised machine learning models built and evaluated to predict credit loan risk. Resampling and ensemble techniques applied to the logistic regression classifier models using Scikit-learn, Imbalanced-learn, Pandas, and NumPy libraries in Python.

cryptocurrencies icon cryptocurrencies

Unsupervised machine learning algorithms (PCA dimensionality reduction and K-means clustering algorithm) report on tradable cryptocurrencies and create a classification system for them, using Scikit-learn, Pandas, Plotly, and hvPlot in Python.

election_analysis icon election_analysis

Conducts an election audit of a local congressional election, and computes the county and candidate with the highest number of votes. Uses Python.

image_classification icon image_classification

Computer Vision analysis (image classification) on GCP which builds and evaluates machine learning models - Deep Neural Network (DNN), Convolutional Neural Network (CNN), and Deep Convolutional Neural Network (DCNN) - using 60,000 labeled images of handwritten 0-9 digits in the MNIST dataset. Makes predictions with a 99.3% accuracy level.

kickstarter-analysis icon kickstarter-analysis

Analyzes a dataset consisting of 4,000 crowdfunding projects to discover hidden trends (campaign performance based on launch dates and funding goals). Uses Excel.

mapping_earthquakes icon mapping_earthquakes

Create an interactive world map for earthquakes, with multiple layers added for different features and view modes, using JavaScript (D3 library), Leaflet, and Mapbox.

mechacar_statistical_analysis icon mechacar_statistical_analysis

The analysis uses R language to run a multiple linear regression, t-tests, and generate summary statistics, in order to aid an automotive company in identifying the production troubles that are hindering the manufacture of a prototype car of theirs.

mission_to_mars icon mission_to_mars

Creates a web app that scrapes and displays the most recently published data on Mars and the Mars mission. Uses Python (html5lib and lxml libraries), MongoDB, Flask-PyMongo, Splinter, BeautifulSoup, and Web-Driver Manager.

movies-etl icon movies-etl

Creates an automated ETL (Extract, Transform, Load) pipeline that extracts (from three data files), transforms, and loads data into a movies database. Uses Python (Pandas), PostgreSQL, and SQL.

neural_network_charity_analysis icon neural_network_charity_analysis

Deep-learning neural network (binary classifier) to determine which organizations are worth donating to and which ones are high-risk. Uses Python (TensorFlow, Pandas, and Scikit-Learn libraries).

nyc_restaurant_analysis icon nyc_restaurant_analysis

Data visualization of the NYC restaurant data, and data analysis to gauge if a restaurant located in a high-income area receives a higher health inspection grade. Uses Python (Pandas, Scikit-learn, Imbalanced-learn), PostgreSQL, SQLAlchemy, Tableau, JavaScript (Plotly.js library), HTML, CSS, and Bootstrap.

pewlett-hackard-analysis- icon pewlett-hackard-analysis-

Determines how many employees at the company will soon be retiring, and how many among those are eligible for mentoring the new hires. Uses SQL, postgreSQL, and pgAdmin.

portfolio icon portfolio

Check out my projects, all in one place, here at: https://sohat7.github.io/Portfolio/

purchase_analysis icon purchase_analysis

This project uses BigQuery to explore the Google Analytics dataset, and build a Machine Learning Model to predict whether a visitor on the website will make a purchase or not.

pyber_analysis icon pyber_analysis

Analysis and visualization of ride-sharing data to determine how total weekly fares differ by city type. Uses Python (Pandas and Matplotlib libraries).

school_district_analysis icon school_district_analysis

Produces district-level and school-level summary on the math, reading, and overall passing percentages in the schools, and repeats the analysis after ninth grade scores for math and reading have to be replaced. Uses Python.

sohat7 icon sohat7

Config files for my GitHub profile.

stock-analysis icon stock-analysis

Analyzes the performance of 12 different stocks through the years 2017 and 2018 in order to enable the client to make informed decisions when it comes to investing in stocks. Uses VBA (Visual Basic for Applications).

surfs_up icon surfs_up

Analyzes climate data to determine if opening up a surf shop in the location will make for a viable investment or not. Uses Python (Pandas), SQLAlchemy, SQLite, and Flask.

ufos icon ufos

Creates a dynamic table, where the user can filter UFO sightings on multiple criteria simultaneously. Uses JavaScript, HTML, CSS, and Bootstrap.

world_weather_analysis icon world_weather_analysis

Creates a travel itinerary map based on the customer's weather preferences. Uses Python (Pandas, Matplotlib, and SciPy libraries) and APIs.

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