School of Artificial Intelligence

The goal of this course is to train students with foundational concepts and skills in Machine Learning for high-dimensional, big data, non-Euclidean, irregular, and geometric data problems. The theory will go in conjunction with hands-on analysis of real-world applications, including ML, networks, learning, computer vision, bioinformatics, controls, etc. ​In the first part, mathematics for machine learning and learnability will be discussed. In the second part, machine learning techniques for high-dimensional and big data problems will be covered. The third part will introduce the rapidly evolving area of Geometric Machine Learning.

School of Artificial Intelligence

This course will present the fundamental concepts and methodologies underlying intelligent computer system design. Specific emphasis will be placed on the paradigm of statistical and decision-theoretic modelling. This course contains a large amount of programming and mathematics because these subjects are fundamental to contemporary AI.

SRM Institute of Science and Technology

Taught courses in AI, Deep Learning, Python programming, Data Analytics and Professional skills to both undergraduate and graduate students.

University representative for Social Media.

Headed the alumni relation team, created the website for the same.

Judge for Hackathon 2021.

Chair panels at professional conferences and present academic papers.

Deloitte USI - Risk and Financial Advisory

Obtained hands-on exposure to SAP security components such as ERP Central Component 6.0 (ECC), Business Intelligence (BI), Supply Chain Management (SCM), CRM (Customer Relationship Management).

Worked as a part of large-scale projects which include security maintenance, administration and operations for various SAP environments.

Headed the alumni relation team, created the website for the same.

Experienced in preparing detailed documents and reports while managing complex internal and external data analysis responsibilities.

Obtained people and project management skills.

Election Commission of India

Performed Statistical analysis and data visualisation for Lok Sabha Election - 2019 Designing data acquisition trials Assessing results and analysing trends and using statistics to make forecasts and to provide projected figures

Application of sampling techniques or utilise complete enumeration bases in order to determine and define groups to be surveyed.

Application of statistical methodology to complex data and acting in a consultancy capacity Designing and implementing data gathering/management computer systems and software

Reserve Bank of India, Strategic Research Unit

Contributed analytical inputs to the Monetary Policy Committee by investigating weekly trend on Agmarket data, monthly data on IIP Index, Service indicators, PMI index, Unemployment data, Consumer Pyramid Data for the bi-monthly Monetary Policy Statement. Research, document, rate, or select alternatives for Financial Data Analysis algorithms or technologies.

Monitor developments in the fields of industrial technology, business, finance, and economic theory. Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.

Evaluate financial reporting systems, accounting or collection procedures, or investment activities and make recommendations for changes to procedures, operating systems, budgets, or other financial control functions

Udemy

Detect faces in images and videos using OpenCV and Dlib libraries

Learn how to train the LBPH algorithm to recognize faces

Track objects in videos using KCF and CSRT algorithms

Learn the whole theory behind artificial neural networks and implement them to classify images

Implement convolutional neural networks to classify images

Use transfer learning and fine tuning to improve the results of convolutional neural networks

Detect emotions in images and videos using neural networks

Detect objects using YOLO, one of the most powerful techniques for this task

Recognize gestures and actions in videos using OpenCV

Create images that don't exist in the real world with GANs (Generative Adversarial Networks)

Udemy

Part 1 - Data Preprocessing

Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression

Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification

Part 4 - Clustering: K-Means, Hierarchical Clustering

Part 5 - Association Rule Learning: Apriori, Eclat

Part 6 - Reinforcement Learning: Upper Confidence Bound, Thompson Sampling

Part 7 - Natural Language Processing: Bag-of-words model and algorithms for NLP

Part 8 - Deep Learning: Artificial Neural Networks, Convolutional Neural Networks

Part 9 - Dimensionality Reduction: PCA, LDA, Kernel PCA

Part 10 - Model Selection & Boosting: k-fold Cross Validation, Parameter Tuning, Grid Search, XGBoost

Udemy

Creating a web crawler in Scrapy

Crawling a single or multiple pages and scrape data

Deploying & Scheduling Spiders to ScrapingHub

Logging into Websites with Scrapy

Running Scrapy as a Standalone Script

Integrating Splash with Scrapy to scrape JavaScript rendered websites

Using Scrapy with Selenium in Special Cases, e.g. to Scrape JavaScript Driven Web Pages

Building Scrapy Advanced Spider

Storing data extracted by Scrapy into MySQL and MongoDB databases

Several real-life web scraping projects, including Craigslist, LinkedIn and many others

Udemy