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Name: BNTechie

Type: User

Company: Translational Genomic Research Institute

Bio: Computational Scientist Consultant

Location: Espoo, Finland

Data Scientist

PhD in Computational Physics. 5+ years of experience in Data Science.

Data Science Skills

• Programming Languages: Python, R

• Statistical Analysis: Generalized linear models, multivariate regression, time-series analysis

• Machine Learning: Neural networks, support vector machines, random forests, boosting methods

• Data Integration and Management: SQL, handling multi-omic datasets (genomics, proteomics, transcriptomic)

• Data Visualization: ggplot2, Matplotlib, Seaborn

• Big Data and High-Performance Computing: Use of HPC clusters for large-scale data analysis

• Bioinformatics Tools: Bioconductor, Galaxy

• Natural Language Processing: Text mining, sentiment analysis

Analytical Skills

• Data preprocessing, normalization, and transformation

• Predictive modeling and algorithm development

• Network and pathway analysis, Differential gene expression analysis

Research and Project Experience

• Developed and implemented predictive models for clinical trial data analysis, improving early-phase trial insights.

• Conducted exploratory data analysis and visualized complex datasets to identify trends and patterns.

• Designed and executed experiments to test hypotheses and validate models.

Soft Skills

• Excellent written and verbal communication skills in English

• Collaboration in interdisciplinary and multicultural teams

• Independent project management and leadership

Additional Skills

• Linux systems, command-line tools

• Version control (Git)

• Deep learning frameworks (TensorFlow, Keras, PyTorch)

• Experience with relational databases and big data technologies

BNTechie's Projects

awesome-cheminformatics

A curated list of Cheminformatics libraries and software.

aws-certified-cloud-practitioner-notes

AWS Certified Cloud Practitioner Short Notes And Practice Exams (CLF-C02)

bioinformatics

Differential Expression Analysis of protein, Gene set enrichment analysis, Multi-omic factor analysis, Pathway analysis, WGCNA

data-imputation

Different imputation technique with example

data-preprocessing

Creating empty dataframe, data normalization, Dimensionality reduction, Outlier detection, Overfitting of model and its solution, Remove column with zero values, Replace NA with zeros.

data-visualization

Manhattan plot, Scatter plot, Venn diagram, Waterfall plot, histogram, Upsetplot, Correlation plot, etc

exploratory-data-analysis-eda-

Exploratory Data Analysis on Black Friday sales dataset, 911 call data analysis, Chicago crime data analysis

generative-adversarial-networks

fMNIST data set classification with GAN, Semi-supervised learning with GAN

heterogeneity-analysis

Finite mixture modeling with flexmix package in R

implementation-of-large-language-model

Implementation of Large Language Model in NER, text summarization, sentimen analysis in Python

movie-recommendation-engine

Buiolding up a recommendation engine for movie with Content based model and collaborative filtering methods.

Basic NLP tasks with Python, End-to-end sentiment analysis, Fake news detection, personality prediction, Span Filtering, Text classification, Topic modeling, Twitter sentiment analysis, Yelp review, etc with NLP

portfolio

predictive-modeling

Credit card fraud detection, Breast cancer prediction, Wine quality prediction, Bank note authentication, prediction of attrition of employees, Stock prediction, etc

regression_analysis

house price prediction, Comparison of Ml algorithm, Logistic regression, Multicollinearity, Multivariate regression analysis, Linear model with random effects, Robust regression

statistical-tests

Permutational Multivariate Analysis of Variance, Causal mediation analysis, PCA, adjusted p_values, correlation amon distance matrix, power analysis, exat t_test, Fourier transform

survival-analysis

Kaplan Meier model, Cox proportional-hazards model, Random Forest Model

timeseries-forecasting

Forecasting monthly sales witNh LSTM, Forecasting with RNN, Vector-autoregressive model

bntechie Goto Github PK

Data Scientist

BNTechie's Projects

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