Fida Febin.K Email & Phone Number

Thrissur, Kerala, India

Data analyst in research wing as internal auditor

Bangalore Urban, Karnataka, India

Data Science InternWorked on the Reliance stock price Dataset.•Predict the Reliance Industries Stock Price for the next 30 days.•There are Open, High, Low and Close prices that you need to obtain from the webfor each day starting from 2015 to 2022 for Reliance Industries stock.•Used different time series models.•Got less MAPE value in the LSTM model & finalized it as a final model to forecastthe next 30 days.•Used python library , sklearn, Pandas, Numpy… Show more Data Science InternWorked on the Reliance stock price Dataset.•Predict the Reliance Industries Stock Price for the next 30 days.•There are Open, High, Low and Close prices that you need to obtain from the webfor each day starting from 2015 to 2022 for Reliance Industries stock.•Used different time series models.•Got less MAPE value in the LSTM model & finalized it as a final model to forecastthe next 30 days.•Used python library , sklearn, Pandas, Numpy, Matplotlib, Seaborn.•Deploy the model with the help of Stream lit.Patient's Condition Classification Using Drug Reviews.•This is a sample dataset which consists of 161297 drug name, condition reviews andratings from different patients and examined how patients felt using the drugs theirpositive and negative experiences so that we could recommend him a suitable drug.By analyzing the reviews, we could understand the drug effectiveness and its sideeffects.•Cleaned the data using Lemmitization, bag of words, etc.•Used machine leaning models, Naive Bayes, Passive Aggressive Classifier, and TFIDF.•Deploy the model with the help of Stream lit. Show less

Bangalore Urban, Karnataka, India

Data Science InternWorked on the Reliance stock price Dataset.•Predict the Reliance Industries Stock Price for the next 30 days.•There are Open, High, Low and Close prices that you need to obtain from the webfor each day starting from 2015 to 2022 for Reliance Industries stock.•Used different time series models.•Got less MAPE value in the LSTM model & finalized it as a final model to forecastthe next 30 days.•Used python library , sklearn, Pandas, Numpy… Show more Data Science InternWorked on the Reliance stock price Dataset.•Predict the Reliance Industries Stock Price for the next 30 days.•There are Open, High, Low and Close prices that you need to obtain from the webfor each day starting from 2015 to 2022 for Reliance Industries stock.•Used different time series models.•Got less MAPE value in the LSTM model & finalized it as a final model to forecastthe next 30 days.•Used python library , sklearn, Pandas, Numpy, Matplotlib, Seaborn.•Deploy the model with the help of Stream lit.Patient's Condition Classification Using Drug Reviews.•This is a sample dataset which consists of 161297 drug name, condition reviews andratings from different patients and examined how patients felt using the drugs theirpositive and negative experiences so that we could recommend him a suitable drug.By analyzing the reviews, we could understand the drug effectiveness and its sideeffects.•Cleaned the data using Lemmitization, bag of words, etc.•Used machine leaning models, Naive Bayes, Passive Aggressive Classifier, and TFIDF.•Deploy the model with the help of Stream lit. Show less

Bangalore Urban, Karnataka, India

Data Science InternshipGenerate the features from the dataset and use them to recommend the books accordingly to the users.* A recommendation System filters the data using different algorithms and recommends the most relevant items to users.* There are three types of data sets Book data set, Rating data sets, and Users data sets.* Cleaned the each data sets by detecting outliers and finding duplicate values* Plot the data with different charts* Worked on model building… Show more Data Science InternshipGenerate the features from the dataset and use them to recommend the books accordingly to the users.* A recommendation System filters the data using different algorithms and recommends the most relevant items to users.* There are three types of data sets Book data set, Rating data sets, and Users data sets.* Cleaned the each data sets by detecting outliers and finding duplicate values* Plot the data with different charts* Worked on model building, Popularity based recommender system, Collaborative Filtering Based Recommender System, Author Based Recommendation* Deployed both collaborative filtering method and popularity-based filtering methodImplemented Model’s using streamlit web application. Show less

Master'S Degree In Statistics, Statistics, A+

Bachelor'S Degree In Statistics, Statistics, B

Activities and Societies: NSS volunteer