Sep 2022 – Jan 2023 · 4 mos · On-site

• Worked under professor Poonam Goyal for Anomaly Detection using Convolution Neural Networks (CNNs) on CCTV footage from play schools with aim to provide safer environment for children.
• Developed end to end pipeline for live anomaly detection which included splitting video into frames, systematically populating frames into directories, using CNNs based architectures to calculate anomaly score for each frame.
• The CNN based architectures included encoder and decoder with Memory module and application of Multitask-learning.
• Subsequently, frames having anomality score above the set threshold, were augmented with red window to indicate anomaly. Augmented frames were subsequently appended together to form the final video indicating anomaly. Frame level ground truths were prepared for both testing and training data.
• Area under ROC curve on testing data: 73.60%

Sep 2022 – Dec 2022 · 3 mos · On-site

• Held Data Mining lab in Python and SPSS.
• Explained theoretical concepts related to the Data science & Data Mining like Decision trees, K-nearest neighbors, clustering etc.
• The lab work included working on packages like Pandas, Numpy, scikit-learn etc.
• My duties included explaining, discussing & debugging code for students.

Sep 2021 – May 2022 · 8 mos · Pilani, Rajasthan, India

• Prepared lab sheets for Computer Programing lab and conducted the same. My duties also include resolving doubts of students. Programming Language used is C in Linux environment.

Apr 2021 – Aug 2021 · 4 mos

• Successfully resolved 800+ doubts with average rating of 4.83/5 of students from all over India.
• Got selected as Teaching Assistant after excelling course on Data Structures and Algorithms in C++, which included Data structures like Arrays, Strings, Trees, Stacks, Queues, linked list, Graphs, Hashmaps, Tries etc. The course also included concepts related to OOPS, Pointers, Recursion, Dynamic Programming etc.
• My duties included checking, debugging and discussing codes written by students and explaining theory concepts to them.

Aug 2019 – Nov 2020 · 1 yr 3 mos · Noida, Uttar Pradesh, India

• Worked on published research literature related to software development, machine learning for data-driven solutions and communication standards.
• Extracted insights from patents, technical specifications and standards, published literature etc. from major technical databases using NLP based algorithms and models, regular expression matching etc.

Nov 2017 – Jan 2019 · 1 yr 2 mos · Gurgaon, India

• Worked on research papers, patents and other published literature pertaining to e-commerce like recommender systems, machine learning based solutions, novel algorithms and models for automated retail.
• Used regular expression matching and other machine learning based models to rank the relevant patents, specifications and other published literature.

Jun 2016 – Aug 2016 · 2 mos · New Delhi Area, India

• Analyzed data from Temperature Sensor (IC LM-335), LDR (Light Dependent Resistor) and Bluetooth module (HC-05) interfaced with Arduino UNO.
• Learned to code on CodeWizardAVR and hence programmed ATmega328P.