abhinav-sharma-6167
Data Scientist & Analytics professional with 4+ years of data-driven consulting experience with expertise in designing, building & deploying ML solutions.
McCombs school of Business, University of Texas at AustinAustin, Texas
Pinned Repositories
abhinav-sharma-6167.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Advanced-ML-and-XAI
Analytics-Vidhya
Hackathon by Analytics Vidhya - October 2016 - Rank Top 30 nationally
Analyze-This-AmEx
Hackathon by American Express - September 2016 - Ranked 5th on leaderboard of multi-class classification problem statement
avatarify
Avatars for Zoom, Skype and other video-conferencing apps.
Btech-Thesis-Rainfall-Forecasting
May 2017 - Thesis during undergraudate career at Indian Institute of Technology Kharagpur
Kaggle-M5-Forecasting
The Makridakis Open Forecasting Center (MOFC) at the University of Nicosia conducts cutting-edge forecasting research and provides business forecast training. It helps companies achieve accurate predictions, estimate the levels of uncertainty, avoiding costly mistakes, and apply best forecasting practices. The MOFC is well known for its Makridakis Competitions, the first of which ran in the 1980s. In this competition, the fifth iteration, you will use hierarchical sales data from Walmart, the world’s largest company by revenue, to forecast daily sales for the next 28 days. The data, covers stores in three US States (California, Texas, and Wisconsin) and includes item level, department, product categories, and store details. In addition, it has explanatory variables such as price, promotions, day of the week, and special events. Together, this robust dataset can be used to improve forecasting accuracy.
Optimization-I
Coursework from UT's Optimization course
UT-Data-Science-Py-Project
DS Programming project implementation
Unstructured-Data-Analytics
code and other relevant documents for Unstructured Data Analytics course
abhinav-sharma-6167's Repositories
abhinav-sharma-6167/abhinav-sharma-6167.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
abhinav-sharma-6167/Advanced-ML-and-XAI
abhinav-sharma-6167/Analyze-This-AmEx
Hackathon by American Express - September 2016 - Ranked 5th on leaderboard of multi-class classification problem statement
abhinav-sharma-6167/avatarify
Avatars for Zoom, Skype and other video-conferencing apps.
abhinav-sharma-6167/Kaggle-M5-Forecasting
The Makridakis Open Forecasting Center (MOFC) at the University of Nicosia conducts cutting-edge forecasting research and provides business forecast training. It helps companies achieve accurate predictions, estimate the levels of uncertainty, avoiding costly mistakes, and apply best forecasting practices. The MOFC is well known for its Makridakis Competitions, the first of which ran in the 1980s. In this competition, the fifth iteration, you will use hierarchical sales data from Walmart, the world’s largest company by revenue, to forecast daily sales for the next 28 days. The data, covers stores in three US States (California, Texas, and Wisconsin) and includes item level, department, product categories, and store details. In addition, it has explanatory variables such as price, promotions, day of the week, and special events. Together, this robust dataset can be used to improve forecasting accuracy.
abhinav-sharma-6167/Optimization-I
Coursework from UT's Optimization course
abhinav-sharma-6167/UT-Data-Science-Py-Project
DS Programming project implementation
abhinav-sharma-6167/Causal-Inference-for-Brand-Assessment
Using SEM models to estimate and distil Halo effects
abhinav-sharma-6167/ChatGPT_Trading_Bot
This is the code for the "ChatGPT Trading Bot" Video by Siraj Raval on Youtube
abhinav-sharma-6167/COVID-19Projection
abhinav-sharma-6167/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.
abhinav-sharma-6167/Fast-Style-Transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
abhinav-sharma-6167/genai-stack
An End to End GenAI Framework
abhinav-sharma-6167/Graphical-models
Coursework on graph based models from UT's Social Media Analytics course
abhinav-sharma-6167/Kaggle-Expedia-Hotel-Recommendation
May 2016 - Experiments to avail top 15% private leaderboard in kaggle competition
abhinav-sharma-6167/leetcode
Has python code practice for all leetcode, hackerrank challenges
abhinav-sharma-6167/llamaindex_RAGathon
abhinav-sharma-6167/ML-with-Python-notes
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
abhinav-sharma-6167/NeuralN-Style-Transfer
Neural style in TensorFlow! 🎨
abhinav-sharma-6167/NotebooksNLP
Interactive scribe for NLP Course, IIT Kharagpur
abhinav-sharma-6167/Recommendation-Engine
abhinav-sharma-6167/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
abhinav-sharma-6167/SocialMediaAnalyticsProject
abhinav-sharma-6167/Stochastic-Opti
abhinav-sharma-6167/Style_Transfer_Explainer
CNN image style transfer 🎨.
abhinav-sharma-6167/TCAV_Google_Brain
abhinav-sharma-6167/UT-DS-Programming
abhinav-sharma-6167/UT-Intro-to-ML
Course Work for Intro to ML
abhinav-sharma-6167/UT-Intro-to-ML-2
Exam Case styudy and exercises in R
abhinav-sharma-6167/UT-IntrotoML-Project-Churn
Given a Bank customer, can we build a classifier which can determine whether they will leave in the next 6 months or not?