karthikeyar,Karthikeya Racharla,karthikeya_kgp,github

Hi there! 👋 I'm Karthikeya Racharla

Analytics Practitioner and avid learner with hands-on experience in delivering tangible business outcomes using Applied Data Science and Machine Learning. I completed my Masters in Business Analytics (PGDBA, class of 2021) jointly offered by IIM Calcutta, ISI, IIT Kharagpur. Prior to my masters, I completed my Bachelor's from IIT Kharagpur (class of 2017).

Specialties: Product Analytics & Strategy, Data Mining, Predictive Modelling, Statistical Modelling, BI, ML/AI apps

🔭 Currently working at PayPal to improve Product Experiences for consumers & merchants 2-sided network

🌱 Strongly driven by the passion to unravel complexities in data and data-driven decision making. I look forward to collaborate with industry professionals, academic researchers on AI/ML use cases

💬 Let's talk on emerging tech, Data Science, Personal Finance, Sustainablity and amateur Philosophy. Feel free to look around, check out my portfolio, or get in touch :)

Karthikeya Racharla's Projects

coursera-scalableds

Course Materials related to Coursera's Scalable Data Science Course

crude-oil-price

Course project for Regression & Time Series Analysis

data-science-for-marketing-analytics

Achieve your marketing goals with the data analytics power of Python

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

nlp_paper_summaries

✍️ A carefully curated list of NLP paper summaries

pneumonia-detection

In this work, we present a model that can automatically detect Pneumonia from Chest X-rays. We investigated the effectiveness of our CNN and Transfer learning architectures in classifying the pediatric chest X-rays to detect Pneumonia vs. Normal Images and furthermore to distinguish Bacterial and Viral Pneumonia cases.