Deepak R

Exploratory data analysis on a stock dataset to find the maximum and minimum stock trade data on a day for a given week. The dataset considered in the analysis is extracted from : https://raw.githubusercontent.com/jordancheah/StockMarket_DataUpload_Analysis_Pig_Hive/master/NYSE_daily . The Pig script for analyzing the dataset is also provided.

Building predictive models to detect and prevent the fraudulent transactions happening on cerdit cards and debit cards. Implementation of 2nd factor authentication for safe and secure transactions.

Designing strategies to pull back potential churn customers of a telecom operator by building a model which can generalize well and can explain the variance in the behavior of different churn customer. Analysis being done on large dataset which has lot of scope for cleaning and choosing the right model for prediction.

Analyzing IMDB data to dig out the meaningful insight using MySQL which can assist RSVP Movies to make decisions.

Insights on 100 top-rated movies by analyzing data using python from past decade containing information about movies, its actors, and the voters who have rated these movies online.

IPL teams no longer have to spend lot of time on building strategy when they access this dashboard of player, match, team and toss statistics using Tableau.

Model to identify the potential lead by assigning a score for their rate of conversion. Therefore, reaching out to potential is no more a brainstorming task.