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followers: 110.0 following: 809.0 repos: 49.0 gists: 27.0

Name: Srikanth K S

Type: User

Company: Walmart

Bio: Explorations in causality, Interpretable Machine Learning, Statistics, geospatial analysis

Twitter: tALegar1

Location: Bengaluru

Blog: https://github.com/talegari

Welcome! I am Srikanth Komala Sheshachala

linkedin profile

Short profile for recruiters

Download CV / Resume

Interests:
- Causal inference
- Interpretable machine learning
- Setting up, running and infering from AB tests and multi-armed bandits
- Recommender Systems and Personalization
- Optimization (Operations Research)
- Geospatial analysis / services
- Graph theoretic approaches to problems in data science
Job: Senior manager (data scientist) at Walmart Gobal Tech, India.
Previously, Olacabs, DISH corporation, Diet Code, Cognizant, Infosys, ...
Languages: Python, R, sprinking of C++
Contributions: Author and maintainer of these open source projects:
- tidypandas -- A dplyr like API for pandas
- tidypyspark -- make pyspark sing dplyr
- tidier -- Apache Spark style window aggregations for R dataframes
- tidyrules -- Rules as tidy dataframes from rule based models like C50, Cubist, rpart
- solitude -- An implementation of isolation forest
- safer -- A consistent interface to encrypt and decrypt strings, R objects, files
- disto -- Unified Interface for Distances Matrices in R
- Notes in Statistical Learning, Machine learning and Data Science
- ...

Drop me a message: gmail sri.teach, linkedin srikanthks01, stackoverflow

Srikanth K S's Projects

aleader

An implementation of streaming leader clustering algorithm in R

analyzing-tagged-data

version1.1: Recommender system and report generator with exploratory visualizations for data with tags

autoeda-resources

A list of software and papers related to automatic and fast Exploratory Data Analysis

bigdist

Store Distance Matrices on Disk:

broadcast

Numpy style broadcasting for R matrices

c5.0

An R package for fitting Quinlan's C5.0 classification model

clusterfit

wip

clustering-tagged-data

Code for shiny to cluster tagged data -- based on 'analyzing tagged data'

cubist

An R package for fitting Quinlan's Cubist regression model

datasci

A collection of resources and perspectives on productionizable data science with machine learning, deep learning, recommender systems etc

dependencyalerts

Periodic check on package dependency changes in CRAN like repositories

dfvis

ggplot2 based implementation of tabplot

disto

Unified Interface for Distances Matrices in R |

ds_site

code for talegari.github.io

faker

fileplyr

Perform chunkwise processing or split-apply-combine on data in a CSV

forager

Compute auxiliary information (proximity, dissimilarity, outlyingness, depth) and imputation from tree ensembles on new data

forestselect

geohashutils

Utilities to Work with Geohashes build on top of geohashTools, geodist, sf

ggisotonic

Add isotonic or monotonic regression curves to ggplots

greenclust

R Package: Combine Categories Using Greenacre's Method

how_r_makes_copies

investigates, how `R` creates copies and thereby consume memory

islr-tidymodels-labs

keras_experiment

for later lookup, please ignore

learn_devops_data_engg

(wip) Notes on learnings from model deployment, REST API setup and tools

list_of_recommender_systems

A List of Recommender Systems and Resources

markdowns

RStudio Markdowns about R, Math, Stats, and ML

maxcovr

Tools in R to make it easier to solve the Maximal Coverage Location Problem

ml_meta_examples

Usage examples of tidymodels, mlr3, mlr, sklearn

multarreg

methods for multiple target or output regression

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