Akash Baidya | Data

Akash

Chandra Baidya

Welcome to Akash Baidya's homepage.
I'm a master's student in Data Science at Technische Universität Dortmund and currently working as working student-data science at IMSP - Institut für Marktforschung, Statistik und Prognose - Leistungsbereich: Health Economic / Data Analytics / Data Science. I have over 5 years of experience in software engineering with python and 3 year of experience with data science and data analysis. I am looking for a data scientist or data engineering or data analyst position.

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Hi, I'm Akash.

During my academic journey, I had the opportunity to serve as a Teaching Assistant in multiple courses, including Advanced Statistical Learning, Big Data Analytics, Statistical Learning for Big Data, and Probabilistic Reasoning for Machine Learning. In this capacity, my primary responsibilities revolved around conducting exercise sessions and grading exercise sheets.

Prior to my teaching experience, I accumulated over five years of professional expertise as a Software Engineer in diverse software and industrial companies. Throughout my tenure, I actively worked with Python, gaining proficiency in the language and acquiring a comprehensive understanding of software development practices.

Additionally, I held the position of Assistant Project Manager at ITM System LLC for three years, where I successfully managed projects and contributed to their successful execution. More recently, as part of my studies, I undertook a project focusing on time series anomaly scoring using LSTM models. By following established data science methodologies, I performed crucial tasks such as data cleaning, integration, transformation, selection, projection, data mining, visualization, and evaluation.

Resume Reference Github

Services

Let me help make better use of your data. My expertise can be used to clean, analyse, interpret and visualize your data.

Data Management

Data harvesting, cleaning and reshaping. Development of automated workflows.

Data Mining

Data exploration, application of statistical methods, reproducible data analysis.

Dataviz

Creation of static and interactive data visualization and dashboards, review of scientific figures.

Teaching & Training

Short talks or multi-day courses on data visualization, R, ggplot2, data analytics and more.

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Contact

Feel free to contact me for any question. For open source projects, please open an issue or pull request on Github. If you want to follow my work, reach me on Twitter. Otherwise, send me an email at akashbaidya2@gmail.com.

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Terms of Use

Data Management

A data project always start with a data enginering step. You need to harvest data and store it in an adequate format to be able to use it.

I can help you to..

Harvest data from different sources like APIs, SQL databases or messy Excel spreadsheets.

Reformat and reshape data to make further analyses easier.

Clean datasets removing outliers and abberant data.

Create reproducible data preparation workflows

Automatize the creation of data related reports

Contact me

Tell me more about your project at akashbaidya2@gmail.com to see if we can work together.
Github Twitter Mail

Data Mining

Crunch the data to get answer to your question. Give insight to the information.

I can help you for

Exploratory analysis of a dataset.

Creation of clean and reproducible reports using R Markdown.

Application of statistical methods on your dataset.

Creation of custom scripts for analysing your data automatically

Contact me

Tell me more about your project at akashbaidya2@gmail.com to see if we can work together.
Github Twitter Mail

Data Visualization

I'm a recognized expert in the field of dataviz. I've created several websites.

I can help you with:

Creation and review of graphs for scientific publication.

Development of data application using R and Shiny.

Dashboard creation for real time data analysis.

Visualization of geospatial data.

Contact me

Tell me more about your project at akashbaidya2@gmail.com to see if we can work together.
Github Twitter Mail

Geographical distribution of genetic traits.

A web application allowing to visualize the geographical distribution of ~200 genetic related traits in the UK.
Online app

Description

A group of researcher from the Institute of Molecular Bioscience investigated the geographic clustering of genetic variants that influence complex traits and disease risk in a sample of ~450,000 individuals from Great Britain.

I built a web application that goes in support of the paper intitled Genetic Consequences of Social Stratification in Great Britain.

The shiny application allows to visualize the geographic distribution of any trait. It allows to custom color scales, region shape and to apply a cartogram algorithm to the map. Moreover, the tool allows one to upload its own data to benefit this dataviz tool.

Read more

The web application is available online. You can read the scientific paper on BioArXiv. The source code of the project are of course on Github.
Online app Github Paper

The Genetic Map Comparator.

A web application made to compare genetic maps.
Online app

Description

Building and comparing genetic maps between several populations is a common task for geneticists.

We've created an online tool allowing to upload your maps and characterize and visualize them. Several interactive graphs are available with export options and more. The tool was created using R and Shiny, plus several Html widgets for interactivity.

Read more

The web application is available online. You can read the scientific paper on Bioinformatics. The source code of the project are on Github.
Online app Github Paper

Comorbidity Within Mental Disorders

Visualizing the patterns of comorbidity within treated mental disorders.
Online app

Description

Comorbidity is defined as the presence of 1 or more disorders in relation to an index disorder. I've been involved in a project with the Queensland Brain Institute (Australia) and the University of Aarhus (Denmark) to build an interactive website allowing to explore the discovered patterns of comorbidity between mental disorders.

The online tool goes with the publication in Jama Psychiatry. Several interactive graphs are available with export options and more. The tool was created using R and Shiny, plus several Html widgets for interactivity.

Read more

The web application is available online. You can read the scientific paper on Bioinformatics. The source code of the project are on Github.
Online app Github Paper

Dashboard for Terres Inovia

Creation of a dashboard to explore the database of a private company.

Description

Terres Inovia is a French company carrying out applied research on oilseed plants and protein crop. It phenotypes the main varieties of 20 crop species in many locations for several traits every year. This information is stored in a massive SQL database.

I created a dashboard allowing to explore these data. It allows to quickly understand what variety performs well in what kind of environmental condition. It thus has a direct impact on advices provided to farmer in France.

The dashboard was created using R and Shiny. It requires several HTML widgets to create interactive graphs, and specific packages to interact with the database. Here is a screenshot of the welcome page of the application:

Read more

I can't provide more information on this project for privacy reasons.

Exploring co-author relationships

Online app

Description

Google Scholar is a service that provides any researchers list of publication. I made a script that harvest this information on the web using R. It then take the list of all co-authors and check for each pair if they have published a paper together.

The network information is then visualized using static graphs with R, and also using interactive version thanks to d3.js

Read more

Data mining part of the pipeline is available on github. Visualizations are used as example in my other projects: static charts in data to viz, interactive ones in the d3 graph gallery.

The Greentech challenge

Studying water pollution for the French Ministery of environment.

Third price for this dataviz competition.

Description

The GreenTech challenge is a Dataviz competition launched by the French Ministery of environment that took place in 2017. A huge dataset concerning pesticides in France has been released, and the goal was to build innovative visualizations to sensibilize and inform citizen concerning the french situation over the past 6 Years.

We decided to make a team of 4 friends and built a ShinyApp that allows to efficiently explore this dataset. The app is composed by several sheets, each targeting a specific theme. This tool should allow you to understand what happens in your neighbourhood and in the entire country. It is also studied to improve your genereal knowledge concerning pesticides.

Read more

See the associated github repository for more information and source code of the project.

Online tool to estimate standard error of allele frequency in pool-sequencing experiments.
Online app

Description

UNICS is a web app that helps you computing the standard error of allele frequency estimations of future pool-sequencing experiments based on different parameters. You can use it trough the online version and read the related publication.

Application looks like this:

Read more

See the associated github repository for more information and source code of the project.

The #surf project.

I recovered tweets containing #surf for 9 months. Here is where surfers travel.

Description

I created an R script that recovers all tweets containing the hashtags #surf and run it on a webserver for about 9 months. I recovered more than 400k tweets. Some of them being geolocalized for both home and current location, it is possible to deduce where surfers travel.

Here is an overview of the result:

Read more

See the dedicated page in data-to-viz.com that tells more about this project, with explanation on how to build a connection map.