Nandini Saini

python-divide-and-conquer-assignment

Learn how to predict future sales using machine learning with a challenging time-series dataset consisting of daily sales data provided by 1C Company. Explore, analyze, train, evaluate, and make predictions with different models. Get started now!

final-ml-project

ml-project

sql-practice-assignment

zerotodatascience-random-forests-assignment

I am working in the area of object detection in aerial imagery.
Courses: Artificial Intelligence, Machine Learning, Dependable AI, Social Network Analysis
Highlights: Top in the batch, 4 projects, GPA: 8.58/10

IIT Jodhpur

Highlights: Published 1 research paper, GPA: 7.81/10

ABV IIITM Gwalior

Courses: Python Programming, Statistics, Data Analysis & Visualization, Machine Learning, SQL & Analytics

Highlights: 600+ hours of coursework, 10 coding assignments, 3 projects (Web scraping, EDA, ML)

Jovian

- Developing a deep learning based model for detecting object through aerial imagery

Object Identification and Localization in the Aerial Image using Lightweight Explainable Deep Learning Model

- Cleaned & analyzed retail store dataset with 2935849+ rows & 18 columns to predict monthly sales
- Trained linear model, decision tree, and gradient boosted trees using scikit-learn & XGBoost
- Applied dimensionality reduction technique PCA and Working on hyperparameter tuning on regressors.

Forecasting Monthly Future Sales for Retail Store using Machine Learning

- Analyzed 50+ thousand rows and 17 columns, using Numpy, Pandas.

- Created visualizations (scatter plots, Bar charts, Treemap, etc.) using Seaborn & Plotly
- Discovered that in Bengaluru, most people like quick bites and casual dining restaurant types.

Conversation with Bengaluru Restaurants using EDA

- Scraped information about research papers in the any area from the Google Scholar website.

- Created a csv file with metadata gathered about the various published research papers title, in which year and which journal/conference these published, who are the authors, and link of the papers.

Retrieve Information of Relevant Area Research Papers from Google Scholar

- Created and trained a deep convolutional neural network using the YOLOv5 architecture in PyTorch

- Generated adversarial patch-based attack for hiding object from detection

Adversarial Camouflaging Object in Aerial Images

- Community based event detection model on twitter dataset

- Module designed with NLP and Label Propagation Algorithm

CommunityINDICATOR

- Designed the hybrid algorithm using fuzzy logic and ant colony optimization 

- Experiments done in the MATLAB simulation with unstructured environment

Robot Navigation and Exploration in Unstructured Environment using Nature Inspired Algorithm (M.Tech Project)

- Recommendation based on Age, Gender and Emotion features while watching trailer of the movie

- Designed algorithm for calculated review score using sentiment analysis

- Designed website interface and also published the paper in Springer Conference

Intelligent Movie Recommender System using Machine Learning (B.Tech Project)

Indian Institute of Technology

Compare various Vision APIs to develop solution for the visually impaired person and add module into NAVI Android App

Assign teaching assistant for subject Operating System, Advanced Software Engineering, VANET, Security and its Application, Principal of Programming Language

ABV IIITM

Assign teaching assistant for subject Advanced Operating System and Digital Logic Design