About

Aditi Yadav is a highly skilled Lead Analyst at ANZ with over 3 years of experience in Data Science, including 1+ years of industry experience as a Data Scientist and 2 years as a postgrad. She has worked on various projects, including Time Series Forecasting, Market Basket Analysis, Recommendation System, Fraud Detection, and Natural Language Processing. Aditi is proficient in Machine Learning, Deep Learning algorithms, and Statistical techniques, including Linear and Logistic Regression, Random Forest, XGBoost, ARIMAX, Support Vector Machine, Recurrent Neural Networks (LSTM, GRU), and Monte-Carlo Simulation. She is highly skilled in using tools such as Python (Keras, PyTorch, NumPy, SciPy, Pandas, Matplotlib), TensorBoard, R, and SQL, making her an asset to any team. Aditi has previously worked as an Associate Data Scientist at Pristine Infotech, where she worked on various projects, including market basket analysis deep learning (RNN) based model for 1M+ customers, weekly high error forecasts analysis, and improvement of the random forest model, recommendation system for an input of 1M+ items, and model stacking techniques. She has also worked as a Data Analyst at the Indian Institute of Technology, Bombay, where she contributed to student surveys to drive the institute’s online semester policy, investigated the impact of online semester on students, and published a report on graduate admissions. Aditi has a Master of Technology in Technology and Development from the Indian Institute of Technology, Bombay, and a Bachelor of Technology in Electrical Engineering from JECRC. She also has a background in Physics, Chemistry, and Mathematics from St. Anselm's Pink City Sr. Sec. School. Aditi's proficiency in SQL, Recommendation system, XGBoost, Random Forest, Data Scientist, Deep Learning, Research Scientist, SVM, Python, Keras, NLP, RNN, ML, Pandas, Neural Networks, and Pytorch makes her a highly sought-after professional with relevant experience of over 2.18 years. She is an excellent team player and is always willing to go the extra mile to achieve project objectives.