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Analyst - Data Science
Metyis•  June 2022 - Present
Worked on Customer lifetime value prediction. In this based on the previous expenditure of the customer, the future expenditure of the customer will be predicted on various parameters. Created one probabilistic model and one regression based model. Worked on Propensity to buy use case. In this based on past purchases of customers, category from which customer is most likely to purchase in the upcoming 6 months will be predicted. Worked on calculating the KPI's for Ecommerce. Guided a thesis intern (from amsterdam) on his project which was on CLTV using deep learning techniques. Top 5 key skills: Pyspark, Python, SQL, Data Science, Machine Learning, Exploratory Data Analysis, Excel, Powerpoint
computer vision intern
CONTINENTAL AUTOMOTIVE•  June 2021 - May 2022
Created an algorithm for Optical Flow based Plane Segmentation. In this with the help of Optical flow, we will divide the plane into three categories i.e. Ground, lateral and Vertical. Worked on creating Ground truth for an Optical Flow
Education
NIT, Calicut (National Institute of Technology)
Electrical Engineering, M.Tech•  September 2020 - Present
Did a course project on Smart Car Barrier System using Arduino Uno, Servo Motor, and Arduino code. Did a course project on CLASSIFICATION OF COVID-19 DATASET AND PREDICTING RESULT BASED ON NAIVE BAYES CLASSIFIER THEOREM. Did a course project on MULTISPECTRAL IMAGE BINARIZATION USING GMMs. Did a course project on TEXT SUMMARIZER USING NLTK LIBRARY. Did a course project on RECOGNITION OF HAND WRITTEN DIGIT USING CONVOLUTIONAL NEURAL NETWORK(CNN). Did a course project on GENDER CLASSIFICATION WITH SUPPORT VECTOR MACHINE. Designed and Implemented 13 level Inverter using MATLAB. Did a course project on TRAINING OF SINGLE LAYER NEURAL NETWORK USING STOCHASTIC GRADIENT DESCENT METHOD using MATLAB.
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