Arpan Mishra

This is how my professional journey has been until now

• Worked with medical data for mental health patients with a history of suicide attempts.
• The objective was to model the recurrence of a suicide attempt from demographic as well as medical survey data by VigilanS using parametric as well as non parametric statistical methods.
• We also conduct spatial analysis of the patients and use geostatistical models to include the effect of spatial autocorrelation.
• A paper detailing the process and the conclusions will be published soon.

• Worked with satellite imagery and survey data from Census and DHS.
• The objective was to use satellite imagery in order to predict those socio-economic indicators of regions in India, which can act as a proxy for economic well-being.
• Used Landsat 7 & 8 Satellite Images and census data to create a model which predicts district level census variables using a multi modal - multi task learning approach. Further we used DHS data and sentinel images to classify the Asset Wealth Index of clusters across India.
• This project was hosted by World Resources Institute (WRI) and is under UN´s Sustainable Development Goal 8 (Decent Work & Economic Growth).

• Worked in predicting stock price trend, up/down close price prediction and change forecasting.
• Used classical machine learning and deep learning with major focus being on techniques like ANN, LSTM, CONV-LSTM etc.

• Worked with the sales and advertisement teams in order to draw insights from the website traffic data as well as the data created by the sales team.
• Analysed various metrics such as User Traffic, Bounce Rate, Exit Percentage etc. to help the organisation plan their ad campaigns efficiently.

These are some of the personal projects that I have built in the past.

Rossman Sales Prediction

Created a tool to predict the daily sales of any store of the Rossmann drug store chain which is the 2nd largest drug store chain in Germany.

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Sentiment Extraction using Bert

Used Bert to detect the sentiment of a given text and further extract the words that best conveys the detected sentiment.

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Generating Anime Synopsis using Deep Learning

I used two techniques, LSTMs and then a fine tuned GPT2 for comparing their language modeling capabilities and the results were astounding!

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Global Suicide Analysis EDA

I analyzed the global suicide data for 90+ countries from the year 1985 - 2015 in R. Various statistical tests and data visualization techniques were used to explain the data.

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Text Analysis Webapp

The purpose of this app is to offer anyone starting off an NLP projects a fast and convenient means of exploring the text data cutting down the time between EDA and Modelling.

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Rubik’s Cube Rotation Prediction

Predicting the X-Axis Rotation for a give rubik’s cube using Resnet-50. This was part of the AI Blitz Challenge, a hackathon hosted by AI Crowd.

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Selfie Filter using CNN

I used a CNN architecture for facial keypoint detection and further used openCV to achieve the desired effect of a sunglass filter which works real time with a webcam.

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Here are few of the blogs that I have written related to machine learning, data science and the projects that I have built.

Faster Machine Learning Using Hub by Activeloop

A code walkthrough of using the hub package for satellite imagery

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Let’s make some Anime using Deep Learning

Comparing text generation methods: LSTM vs GPT2

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Decoding Support Vector Machines

Intuitively understand how Support Vector Machines work

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Predicting HR Attrition using Support Vector Machines

Learn to train an SVM model following best practices

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