About

Ashit Aggarwal is a highly skilled Lead Data Scientist with over 11 years of relevant experience in the field. He has a special interest in Machine Learning/Deep Learning techniques, Data Visualization, and Statistical Modelling. Ashit is proficient in solving complex problems using Statistical Modelling and Machine Learning techniques such as Regression, Classification, and Clustering. Ashit's skills include proficiency in languages such as Python (sklearn, NumPy, Pandas, Matplotlib, Seaborn), SQL, Unix, Base SAS, and Informatica. He is also well-versed in Machine Learning techniques such as Regression (Lasso, Ridge), Classification( Decision Trees, Logistic Regression), Random Forest, Clustering (K-Means, Hierarchical), Boosting (AdaBoost, Gradient Boosting, XGBoost, LightGBM), PCA, and Time Series Forecasting. Additionally, Ashit has expertise in Deep Learning techniques such as ANN, CNN, RNN, GAN, and cGAN. Ashit has worked with various databases such as Oracle, SAS, and SQL. He is proficient in Cloud technologies such as AWS and has experience in Data Visualization tools such as Tableau, Matplotlib, Seaborn, and Plotly. Ashit has also published articles on various topics related to Data Science, including Brain MRI Analysis, and Introduction to Cycle General Adversarial Network. Currently, Ashit is working as a Lead Data Scientist at Nagarro, where he is working with an MBB client to resolve IT workplace problems. He is responsible for reading and scanning multiple scanned PDFs in multilingual formats and transforming them to English. Additionally, he designs databases to store data and applies NLP to classify invoice line items. Ashit also fetches numbers from scanned images for further comparisons and analyzes the results, showing the data gathered in Tableau while developing various dashboards to show the budgetary data. He presents the number of active projects on Tableau and performs future budgetary requirements for the IT workplace. In the past, Ashit has worked as a Senior Machine Learning Engineer and Senior AWS Analyst at NatWest. In these roles, he designed and developed solutions to optimize I/O throughput and utilized the EMR resources optimally to improve performance. Ashit also performed POC on AWS Data Wrangler and Feature Store and worked on developing alerts and performing cross KT for the support team to manage the AWS infrastructure. Additionally, he mentored a team of three as an SME within