Kamini Ravichandran

214-***-****; adch5h@r.postjobfree.com; https://www.linkedin.com/in/kaminiravichandran/; https://inimakool.wixsite.com/website

EDUCATION

The University of Texas at Dallas May 2021

M.S. Business Analytics GPA: 3.77

National Institute of Technology in Warangal, India May 2018

B.S. Electrical Engineering

TECHNICAL SKILLS

Languages: C, C++, Python, R, SQL, ACL

Tools: Advanced Microsoft Excel, Tableau, PowerBI, MSAccess, MATLAB

BUSINESS EXPERIENCE

RSM Albazie Consulting WLL, Kuwait December 2019– January 2020

Data Analytics Advisory Intern

Analyzed high performance relational databases from which large data sets where mined to discover transaction patterns, examine financial data and filter for targeted information

Optimized 10 preset models and solutions using Audit Command Language, in order to identify and control weaknesses, fraudulent transactions and improvement areas

Developed Tableau dashboards to visualize and integrate data which increased audit efficiency by 20%

ACADEMIC PROJECTS

Maid Service Application MySQL August 2019–December 2019

Created business rules and a conceptual model for a house cleaner service company to optimize sales

Modelled the database using Entity Relationship Diagrams which were transformed and enhanced through normalization

Developed documentation and query optimization using SQL to ensure referential integrity in place

House Price Estimator using Regression Techniques Python September 2019–November 2019

Executed Exploratory Data Analysis on sales data with 2930 observations using Python

Created regression models using algorithms like KNN, Linear, Ridge and Lasso which were further compared with and without hyperparameter tuning

Calculated the value of R squared and MAE and found Lasso with Grid CV worked well with R squared value of 93.37% and MAE with 15,149

Multi-Maps Tableau July 2019–August 2019

Obtained the data of all natural disasters (Flood, Hurricane etc.) that occurred in the USA between the years of 2004 to 2015 (data source FEMA).

Used Tableau to find out top 4 natural disasters impacting an Oil & Petroleum refinery in the energy industry.

Designed Multi-Maps for the top 4 natural disasters to create an effective story using logical rhetoric.

COMPETITIONS & LEADERSHIP

Bagged Second Prize for Regression Analysis of Housing Prices Project Competition conducted by BALC TechForum

Marketing Analytics Club, UT Dallas- Vice President August 2019 –Present

Data Science Club, UT Dallas- Public Relations Officer August 2019 –Present SpringSpree’17 Cultural festival, NIT Warangal – Sub Coordinator December 2016– May 2017

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