Nitesh Maruthi

(405) 780-2153 · Nitesh.Maruthi@okstate.edu

Data Scientist Summer Intern | SAS Certified | Machine Learning and AI Enthusiast | Data Storyteller

Welcome to my page, thank you for taking the time to stop by!

I am Nitesh, an analytics and data science professional!

MS in Business Analytics Oklahoma State University, Stillwater - Class of 2020. I am constantly developing skills that will help me turn data into information, and information into insight. Before I started grad school, I worked as a Software Engineer for nearly 6 years, where I developed supply chain data management software products at Zyme/E2open.

Scroll down, to find out more!


Experience

Associate

Tredence Inc., San Bruno, CA

· Supply chain analytics consulting for a large membership-only retail warehouse club owned and operated by the largest retailer in the world

Oct 2020 - Present

Graduate Research Assistant

CIS Group, LLC, Southlake, TX

· Evaluated software, built a PowerBI application to visualize COGS for Insurance underwriting and inspections business.

Aug 2019 - Dec 2019

Data Scientist Intern

CIS Group, LLC, Southlake, TX

· Analyzed cash deficit and found 40% weekly and 44% cases monthly, that helped renegotiate contract with a client.

· Built predictive models using Scikit-learn to explain and predict costs, descriptive analytics to visualize production.

May 2019 - Aug 2019

Graduate Research Assistant

Oklahoma State Department of Health, OK

· Worked on an ongoing project to evaluate effectiveness of a program for teenagers using data science.

Jan 2019 - May 2019

Software Engineer-II

Zyme Solutions (now a part of E2open), Bangalore, India

· Reduced search and validation times in API’s by using Lucene indexes from several minutes to a few nanoseconds

· Saved 180 man-hours/month, using fewer resources & real- time data sync by replacing ETL workflows on proprietary platforms with Java components, improved memory utilization by tweaking garbage collector settings

· Continuously improved products by periodic technology updates, improved Performance, Scalability, Reliability of the product, security to adhere to ESAPI standards and automated reports using MySQL stored procedures and triggers

· Lead a team three engineers and release cycles, mentored three interns and involved in interviewing new candidates

· Prepared POC’s of new software libraries and explored tools and process changes and undertook Kaizen initiatives

Dec 2012 - Jun 2018

Intern

Bosch Limited, Bangalore, India

· Recommended an alternate design of the A-Pump assembly line that required 30% fewer operators

Feb 2012 - May 2012

Education

Oklahoma State University, Stillwater, OK

Master of Science in Business Analytics
Data Science, Business Analytics and Statistics

GPA: 3.83

Aug 2018 - May 2020

Visvesvaraya Technological University, India

BS in Industrial Engineering
Bachelor of Engineering in Industrial Engineering and Management

GPA: 3.5

Sep 2008 - Jun 2012

Skills

Programming Languages & Tools
Python, R, SQL, SAS, Tensorflow, Keras, Google colab, ArcGIS, Tableau, PowerBI, Alteryx, Git, Jenkins, Java, HTML, CSS, JavaScript, REST, Docker, Linux
  • Trained on time series forecasting, basics of finance, big data -MapReduce, Hadoop, Pig, Spark, Hive, Survival Mining
  • Worked on a technology commercialization project from scratch for a Biomedical device to manage Lymphedema
  • Great team player, be it classmates, professional or cross-functional such as product management and operations in agile environments
  • Quick learner and hands on problem solver

Interests and Machine Learning Projects

I love reading books and learning new things about the world everyday - it is something that helps me stay excited! Although a majority of the books I have read are fiction and fantasy, I am not constrained to any particular genres - please HMU with your favourties, and I will add them to my list!

I try to implement the data science conceepts I learn, so that I can understand them better. Here are a few of my machine learning projects :

1. Analyzing Factors Impacting Suicidal Behavior in American Youth –by Latent Class Analysis, Survey Logistic Regression

2. Redesigned marketing strategy for an e-signature company using marketing mix modeling, basic time-series analysis

3. Loan recovery strategy comparison and analysis using predictive modeling and unsupervised learning for GM Financial

4. Elixir otherworldly coffee: applying location analytics concepts using ArcGIS to determine best store location

5. Case Study: Detecting “Kicked” cars for Carvana using Exploratory Data Analysis and Decision Trees

6. Case Study: Redesigning sales strategy for a cosmetics company by analysis of various customer groups using ANOVA

7. Case Study: Customer Churn prediction for a subscription-based business using logistic regression


Awards & Certifications

I enjoy the adrenaline rush that comes with competing, and working with a team where we can brainstorm ideas! I am thankful to these opportunites - I believe the experience has given me valuable skills that no lectures can teach! Here are a few of my proudest moments - competition prizes, certificates and volunteering!