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.