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PERSONAL ANALYTICS PROJECTS
These are some of my passion projects exploring/analyzing data from different domains. Each project was thought of, designed and carried out not only to answer specific questions but also to gain expertise on pertinent tools and techniques.
Please visit my GitHub page for the (code) scripts used in these projects (and more)

ECOMMERCE BUSINESS ANALYTICS USING KPI'S

The main aim of the project was to perform exploratory data analysis using an eCommerce dataset for the year 2011 (downloaded from kaggle). Key Performance Indicators (KPI’s) based on Revenue and Customer numbers along with Unit economics like Average Revenue per Customer (ARPU) were calculated in order to observe trends if/any in the dataset

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RFM(RECENCY, FREQUENCY,MONETARY) ANALYSIS AND CUSTOMER SEGMENTATION

The work aims to calculate the Recency, Frequency and Monetary value of customers and categorizing them into a specific customer group. This is carried out using an eCommerce dataset

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CLASSIFYING RESIDENTIAL AND INDUSTRIAL LOCATIONS IN INDIA USING MACHINE LEARNING

The main objective of the study was to classify various indian cities/towns into types of 'zones' (Residential, Industrial..) based on the Air pollution data using a Multinomial classification algorithm

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R SHINY APP TO VISUALIZE SPATIAL DISTRIBUTION

The app has been designed to visualize the occurrences of a freshwater crustacean group on the Indian subcontinent

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A/B TESTING OF CLICKSTREAM DATA

The project details the A/B testing analysis of a clickstream data using two variants of a webpage. The main aim of the work is to determine which variant has a higher conversion rate and whether this variation is significant or not

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FROM SCANNED TEXTS TO MAPS

The main aim of this project is to extract relevant information from scanned pdfs. As the first part of the work, the objective was to extract country names from scanned pdf documents using a text mining approach. This information is relevant in certain life science fields like Taxonomy and Biogeography. Specific aims were 1. To extract a set of meaningful words from the text 2. Extract country names from set 3. Visualization of those countries using maps

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DISTRIBUTIONAL PATTERNS OF A PANTROPICAL SPECIES

This project aimed to study the distributional and ecological patterns of a freshwater crustacean species using a multivariate statistical approach

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