Ritesh Singh Suhag

I'm a

About

Data Scientist focused on designing and executing data-driven solutions. Experienced with predictive modeling and driving insights from big data to implement action-oriented solutions to complex business problems.

Data Scientist

I love to leverage data to solve real-world complex problems and drive business decisions. I like learning new data techniques and applying them to solve problems. I believe in understanding the business problem and using the most appropriate tools to deliver a usable product to the stakeholders.

When I am not playing around with data, I like to play soccer, go to the gym and hike. I love watching soccer games and support Barcelona. I also like solving puzzles and can solve 15 different types of Rubik's cube. Occasionally I enjoy a game of chess with my friends.

  • Company: Dell Technologies
  • Role: Senior Analyst, Command Center
  • Degree: Masters in MIS
  • University: Texas A&M University
  • Email: ritesh_10@tamu.edu
  • Phone: +979 422 4148
  • City: Austin, Texas
  • Age: 25

Resume

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Summary

Ritesh Singh Suhag

Data Scientist focused on designing and executing data-driven solutions. Experienced with predictive modeling and driving insights from big data to implement action-oriented solutions to complex business problems.

  • Austin, Texas
  • (979) 422-4148
  • ritesh_10@tamu.edu

Education

MS in Management Information Systems

2019 - 2021

Texas A&M University, College Station

GPA - 3.9/4.0

Relevant Courses -

  • Engineering Data Analytics
  • Statistical Foundations for Data Science
  • Advanced Database Management Systems

B.Tech in Electrical and Electronics

2014 - 2018

Manipal Institute of Technology, Manipal, India

GPA - 3.51/4.0

Minor - Business Management

Awards

  • 1st Prize in TAMIDS data Science Competition 2021 (At Texas A&M)
  • Bravo Award for Innovation (At Dell)
  • Shout Award for Winning Together (At Dell)

Publications

“Stock price forecasting and news sentiment analysis model using artificial neural network” at “International Journal of Business Intelligence and Systems Engineering”

DOI: 10.1504/IJBIDM.2021.10025494

Professional Experience

Dell Technologies (Senior Analyst)

June 2021 - Present

Round Rock, Texas

  • Assisted with the development, maintenance and monitoring of RPA automation processes which help save more than 4000+ man hours
  • Responsible for development of intelligent automation solution using python and automation anywhere platform to automate task creation in 2000+ work orders everyday

Dell Technologies (Data Science Intern)

June 2020 - July 2020

Round Rock, Texas

  • Applied Natural Language Processing (NLP), Latent Dirichlet Allocation, to 9 million vendor records resulting in better understanding of customer interactions & need to formulate new guidelines to reduce operational costs
  • Extracted, interpreted, and explored large datasets from disparate sources to calculate key performance metrics (KPI) and identified under-performing geographical states and areas for improvement

Texas A&M University (Data Science Research Assistant)

Feb 2020 - May 2021

College Station, Texas

  • Applied regression analysis to isolate and understand key relationships between flight prices and industry factors
  • Implemented robust data pipeline to transform raw data from 300,000 web-scraped pages into analysis-ready data
  • Modified data mining processes using parallel processing & matrix operations, reducing time for feature engineering by 60%

Accenture (Application Development Associate)

Sept 2018 - May 2019

Mumbai, Maharashtra, India

  • Produced translation of quantitative analytics and findings into accessible visuals for non-technical audience using dashboard reports which helped increase target met from 67% to 99.5%
  • Collaborated with teams across different regions to formulate the development of a new data management/analytical software to increase reporting ability and reduce operational cost

Projects

Below are the data science projects I have completed over time. The projects cover different areas like Regression, Classification, Data Visualizations, Natural Language Processing, Deep Learning and Statistical Analysis.

  • All

Grocery Customers Deep-Dive & Sales Dashboards Design

End to end application to assist business stakeholders

TAMIDS Data Science Competition

Analyzing role of money in US Presidential Elections.

NBA Twitter Analysis

Application to assist marketings team to analyze tweets polarity

Deploying ML Models

Using FastAPI to Deploy ML Models as Rest API to make real time prediction

Stock Price Prediction

Predicting Stock prices using Artificial Neural networks and sentimental analysis

Predicting Customer Loyalty

Predicting loyalty score for customers and to get clear understanding of true customer loyalty

Enhancing Customer Targeting

Predicting customers most likely to sign for delivery campaign

AB Testing

Assessing Campaign Performance Using Chi-Square Test For Independence

Association Rule Learning

Analyse the transactional relationships & dependencies between products

Customer Segmentation

K-means clustering to segment up the customer base in order to increase business understanding

Classification Using PCA

Using Principal Component Analysis (PCA) to compress high dimensionality data

Casual Impact Analysis

Causal Impact Analysis to analyse & understand the sales uplift of customers

DonorsChoose.Org

Recommendation system to assist teachers on how many days it'll require to get funding

Equipment Fault Detection

Classifer Model to predict fault location in oil drilling equipment

Skills

Python 95%
R 90%
HTML/CSS 50%
SQL 90%
Tableau 70%
JAVA40%

Contact

Location:

Austin, Texas

Call:

+1 979 422 4148