Hitesh Gautam's repositories
makerkit-clone
Open source clone of the popular supabase saas starter kit (Makerkit) using shadcn components, tailwind, stripe and more. Multi-organization and day zero walkthrough experience out of the box. All in one template to launch your saas business.
Chicago-Gang-Violence-Twitter-Analysis
Helping US NGO Voice4Impact by using various machine learning strategies to predict harmful twitter activity to alert local police.
Data-Science-Challenges
DS open ended question with dataset and research papers.
Econometrics
Playing with Econometrics datasets
Friends-Of-Tracking
Friends of Tracking Football Data Science Projects
Text-Analysis
Times of India newspaper text analysis around HIV/AID related articles
ai-learning
Learning AI one-day at a time
awesome-soccer-analytics
:soccer::chart_with_upwards_trend: A curated list of awesome resources related to Soccer Analytics.
DeepLearning.AI_MLOps
Machine Learning in production course available by Coursera and content offered by Deeplearning.AI organization. https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops
DPS_AIChallenge
Digital Product School AI Challenge 18-02-2022
freqtrade-strategies
Free trading strategies for Freqtrade bot
GP-GAN
Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
HDFC-Hiring-Challenge
HDFC hiring challenge HackerEarth
manyai
ManyAI Triggers
marketingLeads
A D2C startup develops products using cutting edge technologies like Web 3.0. Over the past few months, the company has started multiple marketing campaigns offline and digital both. As a result, the users have started showing interest in the product on the website. These users with intent to buy product(s) are generally known as leads (Potential Customers). Leads are captured in 2 ways - Directly and Indirectly. Direct leads are captured via forms embedded in the website while indirect leads are captured based on certain activity of a user on the platform such as time spent on the website, number of user sessions, etc. Now, the marketing & sales team wants to identify the leads who are more likely to buy the product so that the sales team can manage their bandwidth efficiently by targeting these potential leads and increase the sales in a shorter span of time. Now, as a data scientist, your task at hand is to predict the propensity to buy a product based on the user's past activities and user level information.
MarshalRepo
Create a SaaS using Next.js, Kinde-Auth, Supabase, Prisma, Stripe, and Tailwind CSS.
pitchAppv1
Created with CodeSandbox
plura-production
Whole codebase
reactElements
Created with CodeSandbox
transunion_datachallenge
You are working as a data scientist in a global finance company. Over the years, the company has collected basic bank details and gathered a lot of credit-related information. The management wants to build an intelligent system to segregate the people into credit score brackets to reduce the manual efforts.
travelRecommendation
Travel Recommendation using NLP and built API hosted on google cloud run.
UXSketchTemplate
Created with CodeSandbox