About

As a Data Scientist, I help discover the information hidden in vast amounts of data and also help make smarter decisions to deliver top notch products. I specialize in machine learning & deep learning techniques. I love working together, so feel free to reach out for collaboration!

Skill & Tools

Python -

Numpy, Pandas, Sckit-Learn, Keras, TensorFlow, Pytorch, MatPlotLib, Seaborn, Plotly, OpenCV, H2O AI, etc.

R -

Data types, Machine learning models, Visualization (GG-Plot)

Machine Learning –

Supervised: Regression, Classification (Random Forest, KNN, Naïve Bayes, XGBoost, LightGBM, CatBoost, etc.)

Unsupervised: Clustering (K-Means, Hierarchical, DB-Scan, etc.), IsolationForest, LoF - (Anomaly Detection)

Dimensionality Reduction: Principal Component Analysis (PCA), T-SNE.

Deep Learning –

Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Auto-Encoders, VGG-16, Alex-Net, Transfer Learning, etc.

Natural Language Processing (NLP) -

NLTK, Spacy, TM (R), Text mining, Regular Expressions, Sentiment Analysis, Text Classification, Chat-Bots, Topic Modeling, etc.

Data Base Tool (SQL) –

Selecting Columns, Filtering rows, Sorting, Grouping, Joins, and Data base connection, etc.

Spark -

Spark Context, RDD’s, Pyspark SQL and Data frames, Visualization, ML-lib

Tableau/Power BI -

Charts, Maps, Scatterplots, Time Series, Aggregation, and Filter

Microsoft Office –

Excel, PowerPoint, etc.

Deployment –

Flask, AWS, Git/GitHub, Docker, Streamlit.

Professional Experience

Data Scientist R&D, NTT Data Services - [July 2018 – Present]

Fulfilled all data science duties for a high-end internal application

Collected, visualized, studied, and interpreted large datasets; performed accurate, successful data management.

Developed and implemented various models using machine learning and deep learning techniques which increased the company productivity and efficiency.

Involved in interactions with clients to understand the requirements, thus designing the solution to help them aid their business.

Create reports based on findings to be presented to executives at the weekly board meeting, making recommendations for improvement in addition to raw information.

Take on the leadership role for specially assigned projects, guiding other data scientists to complete the work.

Proposed for a Patent on Bot Monitoring System to the international patent board of the company in Tokyo.

Certifications

Pursuing Applied AI course.

Certified ‘Git and GitHub’, 365Datascience.com, ’20.

Certified ‘Machine Learning with Tree Based Models using Python’, DataCamp, ’19.

Certified ‘Deep Learning With Pytorch’, DataCamp, ’19.

Certified ‘Pyspark’, DataCamp, ’19.

Certified ‘Data Science’, Institute of Analytics, ’18.