Sandesh Sharma

Sandesh Sharma

A Data Advocate

Biography

Couples of year ago, I saw the immense capability of analytics. So, I decided to make people see the power of data in decision making which could be applied to any domain.

Personally, I am interested in solving business and organizational problem through the data-driven approaches. Pointing out as well as excluding biases on algorithmic decision making to promote ethics has always been my core value.

Currently, I am on route to develop my knowledge around the data infrastructure solutions and Software Development.

#NoRoomForAnyDiscrimination

Interests
  • Data Infrastructure
  • Machine Learning
  • AI Ethics
  • Data Awareness
  • Business Data Science
Education
  • MSc Data Science ('23)

    Minnesota State University, Mankato

  • BSc Computer Information System ('21)

    Nicholls State University

Skills

Kafka
Oracle GoldenGate
Python
Machine Learning
Statistics
Business Analysis

Experience

 
 
 
 
 
Data Integration Engineer
May 2023 – Present Winona, Minnesota

Responsibilities include:

  • Data Integration Engineer specializing in Kafka and Oracle GoldenGate.
  • Develops Kafka connectors, streams, and topics, ensuring efficient data flow.
  • Provides expert support for MongoDB and drives data integration innovation.
 
 
 
 
 
Data Analyst - Intern
May 2022 – Aug 2022 Chanhassen, Minnesota

Responsibilities include:

  • Creating different dashboard to support production and printing teams using Tableau, AWS QuickSight and Google Data Studio.
  • Analyzed different reports for various department to optimize printing device time.
  • Automated Ad-hock tasks using Python to save manual work.
  • Participated in AWS Data Lab for data lake hydration using various tools like AWS Glue, S3 bucket.
 
 
 
 
 
Academic Advisor - Graduate Assistant
Aug 2021 – May 2023 Mankato, Minnesota

Responsibilities include:

  • Assessing the students to their academic career/plans based on their interest, skills, and potential careers.
  • Reviewing the students test scores, transcript, and program pre-requisite to determine their eligibility for the respective classes.
  • Providing guidance, mentorship, moral as well as emotional support to overcome academic hurdles.
  • Representing the College of Business to the prospective students through admission events, and meetings.
 
 
 
 
 
Research Assistant
Nov 2020 – May 2021 Thibodaux, Louisiana

Responsibilities include:

  • Developed ‘Student Retention Model’ through which we formulated plan to save more than $200,000 for Nicholls State.
  • Single-handed developed whole modeling prototype from cleaning to model deployment in Shiny Web App.
  • Presented the outcome to respective administration and different student group for feedback and improvement.
 
 
 
 
 
Master Tutor
Jan 2019 – May 2021 Thibodaux, Louisiana

Responsibilities include:

  • Certified CRLA-Level 3 tutor with more than 280 hours of experience.
  • Tutored diverse courses like Statistics, Calculus, Accounting, Finance and CIS.
  • Mentored new tutors for a better fit to the work environment.

Accomplish­ments

Data Derby-Advance Group, 3rd Position
The Minnesota State IT Center of Excellence hosts the annual Data Derby Minnesota. This multidisciplinary competition is open to students at all Minnesota State institutions, which allows student teams to compete and present data-driven answers to defined problems and societal issues.
See certificate
Business Analytics Competition, 2nd Position
Competing teams engage in the art and science of decision-making as well as practice their ability to draw business insight from a comprehensive analysis of relevant data.
Tableau Desktop Specialist
See certificate
International Tutor Training Program Certification- Level 3
Data Scientist with R
See certificate

Projects

Telemarketing Success Prediction

Telemarketing Success Prediction

Predictive Model with Explanability and Decision-Support App For Telemarketing Sales.

Image Classification with Transfer Learning

Image Classification with Transfer Learning

Image classification of my and German Shepherd images using Convolution Neural Network (CNN) and Transfer Learning.

Text Analytics With R.

Text Analytics With R.

Building a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t.