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Data Analytics, data

Location:
Hoboken, NJ
Salary:
85000 USD/Annum
Posted:
December 17, 2024

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Resume:

Shreyas Reddy

Data Science Graduate Student at Stevens Institute of Technology

*******@*******.*** /

***********@*****.***

linkedin.com/in/shreyas-reddy-

a0b975197

Jersey City, New Jersey

+1-732-***-****

Nationality : Indian

I primarily worked on ETL development and data-warehousing projects. I have profound knowledge as well as experience of ETL tools like "Pentaho Data Integration" and "Talend Open studio" as I have implemented a handful of data transformations in them. During my tenure in "Axxonet", I got the opportunity to work on a project called as "Comparator" where the primary purpose was to compare raw-structured Excel data with Data warehouse tables and provide statistical reports as well as match percentage of the business-related database Fields.

After many tests and iterations in UAT (User Acceptance Testing) server I along with my team of 3 members were cleared to successfully deploy all the

"Comparator" jobs into ATC's production environment. Successfully helped in the development of a tool for monitoring an Elastic Search Cluster which was part of their project namely "Bugle Development Product" project.

WORK EXPERIENCE

20/05/2021 -

28/03/2023

Software Engineer

Axxonet Solutions India Pvt Ltd

10/02/2021 -

10/07/2021

Intern Developer

Cyberlytics Systems India Pvt Ltd

Completed advanced coursework in Optimization for Data Science, Statistical Methods, and Probability Theory to strengthen analytical and problem-solving skills. Applied principles from Optimization and Probability Theory in projects to enhance data processing efficiency and predictive accuracy. Developed and implemented a data pipeline for cryptocurrency analysis, focusing on real-time data ingestion, cleaning, and outlier detection. During my tenure as an undergrad, I learnt the main fundamentals about data structures and algorithms, and also database systems, which indeed helped me to easily understand the problem statements during hackathons and implement it into a coded solution.

I also got a certificate for my dissertation on my final year project "ML based app for detection of Smartphone Addiction" in the international conference

"Application of Artificial Intelligence and Computational Mathematics (AAICM - 2020)".

Overall GPA secured : 3.57

Overall Percentage Secured : 92.1

EDUCATION

-

September 2023

May 2025

Masters in Data Science

Stevens Institute of Technology

August 2017 -

August 2021

Bachelors' of Engineering in Computer Science

Dayananda Sagar College of Engineering

July 2014 -

July 2016

Senior Years of High School

FIITJEE Junior College

SKILLS

I have fundamental experience with Salesforce, including hands-on practice in customizing Salesforce objects, fields, and page layouts. For instance, I had worked on a sample project where I set up a custom object to track client interactions, including configuring relevant fields, automating email notifications, and generating reports to analyze client engagement trends. During my tenure in Axxonet, I worked on majorly two ETL development tools, namely "Talend" and

"Pentaho data integration" especially for the purpose of creating ETL transformations for Axxonet's client "ATC" (American Tower Company) which purely involved data engineering and ware-housing concepts in order to implement ETL Transformations and jobs to capture and perform business logic operations on the required Telecom data as per the client's needs. I along with my team were successfully able to move our "Comparator" project into the production environment of ATC. This experience in turn gave me a strong grasp over SQL concepts as we implemented all the ETL queries in SQL.

I am also familiar with PySpark and Data-Bricks for data engineering. I am proficient in Python programming and the libraries associated with it such as "Numpy" and

"Pandas".

Apart from that I also have experience in Object Oriented Programming in Java, and also knowledge about programming in C.

I have prior knowledge about HTML5, CSS, JavaScript and I have also worked on a project during my tenure in Axxonet, which involved creating a simplified UI for Digital Work Instructions for WIPRO truck hydraulics manufacturing unit.

I have hands-on experience in deploying and testing small components of a project into a docker container and I am also acquainted with docker-compose as well. I also have experience in using "Prometheus" and "Grafana" especially for monitoring database servers as they provide a great alerting model and also performance statistics of data sources. As a graduate student in Stevens, I have familiarized myself with some of the key statistical distributions namely Normal distributions, Bernoulli distributions, Exponential distributions, Gamma distributions etc.

1. English : I am very proficient in English as it is my first language and also that it is the primary language of communication in official workplaces.

2. German: A1 Level Proficiency.

Salesforce Development

Data Warehousing and ETL Development

Programming languages

Web Development

DevOps

Statistical Methods

Langauges

This Masters' project involved the comparison of the results of an experiment conducted on two different types of sensors, based on controlled experimental conditions. In order to implement this, I made use of Multiple Linear Regression to determine the relationship between the dependent and independent variables.

PROJECTS IMPLEMENTED

Comparing the impact controlled experimental conditions on two Metal Oxide

(MOX) sensors

Absolute Loader

An algorithm written in C which performs the function of an absolute loader. This could be achieved by reading an object file and then displaying the H T E ( Header, Text, End) records. This project involved dividing retail customers into multiple segments based upon their purchase pattern and frequency using RFM analysis based upon a specific mall customer dataset.

Customer Segmentation using Machine Learning

1. Received a certificate for my dissertation on my final year project "ML based app for detection of Smartphone Addiction" in the international conference "Application of Artificial Intelligence and Computational Mathematics (AAICM - 2020)".

2. Delivered a data-warehousing project during my tenure in Axxonet to "ATC" (American Tower Company) which was finally cleared to be moved into their production environment. 3. Delivered a UI based (developed using NodeJS) digital work instructions (DWI) during my tenure in Axxonet to WIPRO's truck hydraulics manufacturing unit. ACHIEVEMENTS



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