Analyst at Tiger Analytics with experience in providing solutions to the research problems and knowledge in various technologies includes statistical modelling, predictive modelling and natural language processing methods. Proven research track record in deep neural networks. Deep knowledge in statistical techniques, tools and programming languages.
TECHNICAL SKILLS
▪ Quantitative methods: Feature Engineering, Statistical modelling (Classification, Regression),
Predictive modelling (Clustering, Decision Trees, Neural Networks),
Natural Language Processing
▪ Statistical Tools: R, Python (NumPy, Pandas, Scikit, TensorFlow, NLTK), MATLAB
▪ Programming languages: C, C++
▪ Information Management: RDBMS (MySQL, PostgreSQL)
SELECT PROJECTS
▪ Developing Trade Promotion Optimization for one of the US top CPG Client for their Offline Retailer Stores and Ecommerce's stores to increase ROI and Sales of Client by proving end-to-end solution from forecasting capabilities to promotional planning by using Predictive modeling techniques.
▪ Developed a predictive model to finding out damage identification in structures as per master’s thesis. Build a model to predict the static deflection using support vector machine, random forest regressor for steel material from numerical experimental data for static analysis. A deep convolutional neural network architecture is developed to identify damage location on composite beam structure from both noisy experimental data and noise-free simulation data for dynamic analysis of structure.
▪ Analysed food order details of a major food delivery company dataset and extracted important conclusion by exploratory data analysis and build a recommendation tool that recommend top restaurants for users from descriptive ordering information.