Feb 2024 – Aug 2024 · 6 mos · Pune, Maharashtra, India · On-site

Jul 2023 – Jan 2024 · 6 mos · Sydney, New South Wales, Australia

• Mentor -Prof. Rohitash Chandra, Senior Lecturer in Data Science at UNSW School of Mathematics and Statistics
• Probing into Uni-variate and Multi-variate Time Series Forecasting for climate change complications.
• Model evaluation by backtesting and inspection of LSTM and CNN to fabricate an optimal analytical strategy to predict extreme flooding in Australia.

Jul 2022 – Dec 2022 · 5 mos · Mumbai, Maharashtra, India

• Domain- Business Intelligence Unit
• Project- Credit Risk Modelling
• + Product-wise Rejection Analysis- Decision and classification trees to identify filters to pinpoint reasons for rejection escalations and month-wise spikes.
• + Exploratory data analytics- K Prototype clustering/Unsupervised machine learning to identify credit score/model score trends and variable profiling to analyze variation.
• + Data pre-processing in python, unstructured to structured data conversion, variable normalization, and correlation in the standard retail finance routine.

Dec 2021 – May 2022 · 5 mos · Pilani, Rajasthan, India

• Secured 3rd position in Intercollege Volleyball tournament Spardha (2022)- IIT BHU
• Secured 2nd position in Intercollege Volleyball tournament BOSM (2019)- BITS Pilani

May 2021 – Jul 2021 · 2 mos · Secunderābād, Telangana, India

• Project Title- Advance Face Recognition with cap and face covered with a mask.
• Domain- Artificial Intelligence, Deep learning
• Developed a computer-vision model for implementing a model for recognizing faces with mask and cap on.
• Designed and trained a face recognition pipeline for flagging unauthorized entry and deployed it using a GUI application.
• Application of Neural Networks and training the model with data sets containing faces which are partially covered by
• mask.
• Deployed the ArcFace loss function to meet the requirements of mask covered face instead of the more popular Softmax loss function.