I am a professional data scientist and software engineer with over 10 years of experience delivering high quality and impactful data science solutions. I specialize in the development of innovative and effective data-driven applications, and I have a proven track record of success in the design and implementation of complex data-driven projects.

My clients include businesses of all sizes, ranging from start-ups to Fortune 500 companies. My data science services range from data exploration and analysis to machine learning and artificial intelligence (AI) applications. I have extensive experience in a variety of programming languages, such as Python, R, and SQL, and I also have experience with Big Data technologies such as Apache Spark, Hadoop, and Hive.

I am passionate about creating cutting-edge solutions that drive business value and am constantly exploring new technologies and trends in the industry. I am a problem solver and strive to find the best possible solution for my clients, regardless of the complexity of the problem. My portfolio includes a number of successful projects, such as developing a customer segmentation model for a large insurance company, creating an AI-based recommendation engine for a major e-commerce platform, and building a predictive analytics system for a large retail chain.

I provide a unique blend of expertise and knowledge, combining my technical and analytic skills with a strong understanding of business needs. My deep understanding of data science allows me to provide a tailored approach to each project and deliver maximum value to my clients. I am also available for freelance projects and am ready to help you get the most out of your data.

My areas of expertise include:

Machine Learning

·        NLP

·        Data acquisition, cleaning, and manipulation

·        Exploratory data analysis

·        Model Building

·        Supervised, Unsupervised learning

·        Hyper-parameter tuning to get the best model

·        Classification and regression.

·        Familiar with ensemble techniques.

·        Data Preprocessing

·        Building data pipelines

·        Data Normalization

·        Data Mining

·        Data Analysis

·        Data Visualization

·        Regression

·        Prediction

·        Object Detection

·        Object Recognition

·        Time Series Forecasting

·        Data warehousing

·        Clustering

·        Sentiment Analysis

·        Dimensionality Reduction

·        Recommender Systems

·        Deep Learning (ANN & CNN) Projects

·        Computer Vision Projects

·        Natural Language Processing Projects

·        Trading Bots

·        Stock Prediction

·        MySQL/ SQL Server Connectivity

·        End-to-End Machine Learning & Deep Learning Projects

I can use the following algorithms, but are not limited to:

ANN, CNN, RNN, GRU, XGB, SVM, GAN, LSTM, KNN, K-Means, DBSCAN, HDBSCAN, PCA, LDA, and many more.

The deliverable would include a jupyter/colab notebook with all the markdowns and comments. Each and every line of code would be explained.