Girish Malekar
Business Intelligence Analyst with six years of experience in reporting and big data analysis. Looking to leverage advance analytics and problem-solving skills to improve company's business operations and strategic initiatives.
In previous roles improved revenue by 24.48% year over year by introducing new products and price recommendations based on the robust analysis. Increased active market makers by 317 % year over year by implementing an incentive scheme and customer analytics. Conducted detailed analysis to look for fraudulent trading activity and debarred 50 trading members using data mining and association rule learning.
BUSINESS INTELLIGENE ANALYST, LAZ PARKING, CHICAGO, IL - JUN 2018 - PRESENT ASSITANT MANAGER, BOMBAY STOCK EXCHANGE LTD, MUMBAI, MH – APR 2013 – JUN 2016
The company currently has 85 grocery stores and is planning to open 10 new stores at the beginning of the year. Currently, all stores use the same store format for selling their products. Up until now, the company has treated all stores similarly, shipping the same amount of product to each store. This is beginning to cause problems as stores are suffering from product surpluses in some product categories and shortages in others. You've been asked to provide analytical support to make decisions about store formats and inventory planning.
In this project we will be analyzing stock data related to a few car companies, from Jan 1 2012 to Jan 1 2017. This mini-project is meant to mainly deal with learning the libraries that we use for visulazation and data analysis. The main objective of this notebook is to hone your skills with matplotlib, pandas, and numpy.
As a business analyst for Round Roasters, a coffee restaurant in the United States of America, your job is to analyze the A/B test and write up a recommendation to whether the Round Roasters chain should launch this new menu. The executive team conducted a market test with a new menu and needs to figure whether the new menu can drive enough sales to offset the cost of marketing the new menu.
In this project, I will analyze a business problem in the mail-order catalog business. I have to predict how much money the company can expect to earn from sending out a catalog to new customers. This task will involve building the predictive model and applying the results to provide a recommendation to management.
This project is the first part of a two-part series. In the first part, you will blend and format data and deal with outliers. For the second part, you will use your cleaned up dataset to create another linear regression model.
Designed an efficient solution to classify new customers on whether they can be approved for a loan or not. Used a series of classification models to figure out the best model and provide a list of creditworthy customers to your manager.
Developed Tic-Tac-Toe game in python