UJJAL MAITY

POC - Research for Demand Forecasting: Develop Multi-Horizon Quantile Recurrent Forecaster base deep learning model using Python. Analyze product demand and perform EDA using matplotlib, Seaborn. Exploring deep learning-based models for increased accuracy. Find seasonality using STL decomposition. Research for Control center: Ad-hoc research request. Perform EDA of large E-commerce data using Pandas, NumPy, matplotlib, Seaborn. POC - GPR Data Classification: Applied Computer Vision base algorithms like Resnet, Custom CNN base model to classify GPR data. Analyzed Model Prediction accuracy using Confusion Matrix.

POC – Pipeline Creation: Create a pipeline using ADF. Copy data from azure blob storage then transform data (ETL) and save into azure data lake. Report Development Using MicroStrategy: Understand the SAP BO report and implement a similar report using MicroStrategy. create Dataset, filter, Prompt, and Matrices using MicroStrategy developer and then create a report using MicroStrategy web.

Resume Recommendation System: Develop resume recommendation system that recommends a job based on the user profile and recommends the best consultant based on the posed job. Perform Feature Engineering on data using Python libraries like Pandas, NumPy, Sklearn. Build and trained model using Random Forest Classification. Read resume and extract useful information using Data Engineering concept. Develop Flask-based API and deployed into Azure and maintain web apps. Predict Top 10 Similar Skills of a Skill: Scrap lot of job data from different job source using selenium, request, Beautifulsoup. Preprocess job data, and extract skills from job data. Develop a word2vec model using gensim. Resume Parsing: Read pdf/doc/docx resume. Extract user skills, name, email, mobile no. etc. from resume. Predict User Functional area and industry using different machine learning algorithm. Search Engine: Create an atlas base search index in MongoDB. Create custom analyzer, synonym. Develop search query using Python. Platform Data Analysis: Create dashboard using Power bi based on requirement. Analyze user data and perform EDA using matplotlib, Seaborn.