About

Srikanth Thotli is a highly skilled Data Scientist Associate with over 11 years of industry experience, including 5 years of experience in data science and 6 years in software development and testing. He possesses comprehensive industry knowledge of Machine Learning, Natural Language Processing, Statistical Modelling, Data Analysis, Predictive Analysis, Data Manipulation, Data Mining, and Data Visualization using Tableau and SQL queries. Srikanth has extensive working experience and knowledge in Python with libraries such as sklearn, tensorflow, numpy, pandas, matplotlib, and seaborn. He has worked on tools like PyCharm, Visual Studio, and Jupyter Notebook and has a working knowledge of Java, Selenium Web Driver, QA tools, and testing concepts. He also has hands-on experience in continuous integration and deployment tools like Maven and Jenkin and has maintained code repository in GIT and TortoiseSVN. Currently, Srikanth is working as an Associate at JP Morgan where he has worked extensively on developing ML models for credit card fraud detection. He analyzed and filtered 100k rows of data sent by the client in multiple batches and performed feature engineering on data having numerous columns using Python libraries like NumPy, Pandas, and Seaborn. He built and trained the model using Random Forest and XG BOOST classification and analyzed model prediction accuracy using Confusion Matrix, AUC Score, and classification reports. He applied deep learning techniques like CNN and LSTM (with or without attention) to build features from contextual data and explored the potential usage of autoencoders and anomaly detection in the context of credit card fraud detection. He also implemented Imbalanced learning techniques to increase the performance of the model and measured the model performance by Average precision and Card precision top-k and achieved around 75% of accuracy. Prior to JP Morgan, Srikanth worked as a Software Consultant at Hexagon Capability Center India, where he developed and worked on a custom question-answer model for an in-house project. He also worked as a Senior Quality Assurance Engineer at Oracle, where he handled testing of Fusion Applications - PPM Module using Oracle Application Testing Suite (OATS/Openscript) for the automation team. Srikanth holds a Bachelor of Technology (BTech) degree in Electrical, Electronic and Communications Engineering Technology/Technician from VIT. He is highly proficient in a wide range of tech stacks, including Data Science, Research Science, ML, Seaborn, Random Forest, Pandas, Python, SQL, AWS