Data Science Portfolio

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• This is a portfolio of my ongoing and completed data science projects. The table also shows my technical skills and tools used for the projects.
• The portfolio contains links to current projects in my portfolio and shows my hands-on experience on different areas in Data Science and Machine Learning.

Technology stack

• Languages: Python, PostgreSQL, Microsoft SQL Server, R.
• Machine Learning: Regression, Classification, Clustering, Logistic Regression, Random Forest, SVM, NLP, Neural Networks, Time Series Analysis, Computer Vision, Deep Learning.
• Tools: NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, Keras, Spark, Matplotlib, Seaborn, Plotly, PyTorch, XGBoost, CatBoost, AdaBoost.
• Frameworks:

No.	Hands-on Experience	Title	Project	Technical skills	Completed
1	Data Preprocessing	Credit Rating Analytics	Analyzing borrowers’ risk of defaulting	Python, NLTK, WordNetLemmatizer, SnowballStemmer, Seaborn, Matplotlib	☑
2	Data Wrangling in R	Investigating the Coronavirus Pandemic	Covid-19 Data Manipulation in R	R, dplyr, readr, tidyr, ggplot2	☐
3	Exploratory Data Analysis (EDA)	Car Sales Analytics	Research on car sales ads	Python, Seaborn, Matplotlib	☑
4	Statistical Data Analysis (SDA)	Telecom prepaid plan analysis	Statistical Data Analysis on Real Telecom Data	Python, Numpy, SciPy, Seaborn, Matplotlib	☑
5	Data Visualization and Storytelling with Data	Online GameStore Analytics	Data Visualization and Storytelling for an Online GameStore	Python, Pandas, Squarify, Seaborn, Matplotlib	☑
6	Webscraping and Data Storage in databases	Ride-sharing analytics	Data Collection, Webscraping and Storage for a new ride-sharing company	PostgreSQL, Python, BeautifulSoup, Seaborn, Matplotlib	☐
7	Real Data and Webscraping	Web Scraping Data Scientist job openings with BeautifulSoup and Requests	Web Scraping with BeautifulSoup and Requests	Python, BeautifulSoup, Requests	☑
8	Databases and SQL data analysis	Chicago City data analysis	Analyzing Chicago City data with SQL and Python	PostgreSQL, Python	☑
9	Machine Learning - Classification System	Machine Learning for phone plan recommendation system	Phone plan recommendation system	Python, Scikit-learn, Pandas	☑
10	Supervised Learning - Prediction	Bank Customer Churn Prediction	Bank Customer Churn Prediction using Machine Learning	Scikit-learn, XGBoost, GridSearchCV, AdaBoost	☑
11	Machine Learning in Business	Predicting the volume of reserves in new wells, well placements and locations optimization	Machine Learning for reservoir optimization	Python, Scikit-learn, Bootstrapping, LinearRegression	☑
12	Machine Learning in Business	Optimizing gold extraction from mined ore using Machine Learning	Machine Learning for gold extraction optimization	Python, Scikit-learn, LinearRegression	☑
13	Linear Algebra with Machine Learning	Insurance benefit prediction	Machine Learning and Linear regression for insurance benefit prediction	Scikit-learn, Linear Algebra, k-Nearest Neighbors	☑
14	Numerical Methods with Machine Learning	Used vehicle price prediction	Vehicle price prediction using various implementation of gradient boosting	Numerical Methods, CatBoost, LightGBM, XGBoost	☑
15	Time Series Analysis	Predicting number of taxi orders with Machine learning	Taxi orders prediction using Machine Learning	Time Series Analysis, CatBoost, LightGBM, XGBoost	☑
16	Natural Language Processing (NLP)	Classifying positive and negative reviews with Machine Learning for Texts	IMBD Movie Sentiment Analysis using NLP	SGDClassifier, Naïve bayes, LightGBM, spaCy, TF-IDF, BERT	☑
17	Computer Vision (CV)	Predicting the approximate age of a person from a photograph	Customer Image Processing using deep learning	Tensorflow	☑
18	Machine Learning for Prediction	Telecom Client Churn Forecasting	Telecom Client Churn Forecasting using Machine Learning	Machine learning algorithms, XGBoost, CatBoost, LightGBM	☑