Aug 2021 – Mar 2022 · 7 mos

May 2020 – Jul 2021 · 1 yr 2 mos

Jun 2020 – Aug 2021 · 1 yr 2 mos

• Mentoring collegiate women in tech to ace interviews for top tech companies in the world. Provide guidance across all technologies necessary to help collegiate women unlock their true potential.

Aug 2019 – Apr 2020 · 8 mos · Delhi, India

• Developed a novel diagnostic system to detect Polycystic Ovarian Syndrome (PCOS) using Machine Learning on Clinical Data, under Dr. Rahul Katarya, presented in ICES '20, Indira Gandhi Delhi Technical University for Women.
• Presented a modified stack generalisation ensemble learning-based diagnostic system, with first stage focussed on feature selection using Discrete Particle Swarm Optimization, along with Support Vector Machine as the fitness function. This was follows by a stacked ensemble model using 6 models in total. Specifically, we used the predicted probability of 3 models: Logistic Regression, Support Vector Classifier, Ridge Classifier, and 3 classifiers: Random forest, Bagging and Gradient Boosting.
• The above architecture achieved an accuracy of 90.74% and sensitivity of 87.53%, which is higher compared to the industry average of 84% and 80% respectively.

Aug 2019 – Dec 2019 · 4 mos · Delhi, India

• Conceptualised and developed a prototype for a smart drainage management system. ML and IoT was used to create a drain mouth attachment with the ability to gauge water pressure and flow at the drain entrance and automatically clear blockages while conserving energy. The objective of the innovation was to tackle the problem of drain blockage and modern flooding in metro cities like Mumbai.
• Submitted as a Minor Project in Delhi Technological University.

May 2019 – Jul 2019 · 2 mos · Gurugram, Haryana, India

• Used Zeek Intrusion Detection System (IDS) and Machine Learning Algorithms (Isolation Forest and DBSCAN) to develop an Intelligent IDS to aid in the threat hunting process following a possible attack on a network.
• Learned about the various kinds of vulnerabilities in a network, and provided a report on the company's network.
• Used Wireshark, Snort IDS, Elastic Stack, and DVWA to learn about the network and help in the development of the final product.
• Provided Python modules to help network engineers to test the process themselves.

Aug 2018 – May 2019 · 9 mos · Delhi, India

• Head of Technology in D_CODER. Focussed on managing the overall technical plane of the organisation, and helping members understand the world of Computer Science and its future, and how to best leverage technology to solve real-world business problems.

Dec 2017 – Feb 2019 · 1 yr 2 mos · Delhi, India

• Researched the impact of time-series data on Database Intrusion Detection Systems, while improving upon the current trend analysis using Pattern Mining and Fuzzy Vectors.
• Attribute Selection and Weighted Pruning, with focus on balancing the various dimensions was approached, while still retaining flexibility towards specific environments.