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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.

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Data Science Portfolio


  • 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

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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.

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