Sahil Kumar Sahu

STOCK MARKET TREND PREDICTION

• Multiple Experiments have conducted by developing LSTM, GRU, BLSTM, BGRU models on 9 real-time benchmark stock indices of different size data sets and Comparative evaluation has done by considering each model’s performance and accuracy which predict tomorrow’s market price will up or down.

• This submitted paper is now at Review in progress state at (JACIII).

Postgress Tuning

• Compiled different known database workloads such as YCSB and TPCC and played around with different knobs for tuning Postgres and enhancing Autonomous Postgres tuning.

Stream Processing of Twitter data using Apache Spark

• Connected with twitter API and receive live tweet which is capable of fetching chunk of streaming updated data in every One second.

• save tweets to disk such as saving streaming data to persistent stor age, acessing the RDD’s inside a DStream, RDD partitioning, caching.

• Keep tracking the Most Popular Hashtags and average tweet length

• Listening to streamed data on a tcp socket and used regular expression to parse data.

Plant Disease Classification

• It majorly deals with Convolutional Neural Network to identify specific disease from 32 classes.