ATUL SINGH

DATA SCIENCE, BI & ANALYTICS PROFESSIONAL 602-***-****

DETAILS

602-***-****

adho78@r.postjobfree.com

LINKS

LinkedIn

GitHub

SKILLS

Data Analysis

Business Intelligence

Machine Learning

Data Warehousing

Data Visualization

ETL/ELT (SSIS, Azure Data Factory,

Singer, DBT)

Microsoft SQL Server (SSMS, SSAS,

SSRS)

Microsoft Power BI

Tableau

Python, SQL, DAX, R & PySpark

ML Frameworks (Scikit-Learn,

Tensorflow, Keras, NLTK, Spacy)

Cloud - AWS, Azure

Version Control - Git, Azure Devops,

Bitbucket

Agile & Scrum SDLC

PROFILE

• Data Science, BI & Analytics Professional with over 3 years of experience of building data driven solutions.

• Expertise in Data Warehousing, ETL/ELT Methodologies, Dimensional & Semantic Data Modeling, and Reporting & Dashboards.

• Skilled in Data Profiling & Analysis, and implementing Machine Learning models.

• Proficient in SQL, Tableau, Power BI, SSAS, SSIS, Azure DF, DBT, Git & Python. EMPLOYMENT HISTORY

BI Engineer (Consultant) at Slalom Inc. (via CCS Global Tech), Seattle, WA October 2019 — October 2020

• Created, updated and managed Power BI reports, SSRS reports and Excel Power Pivots for the enterprise core reporting suite.

• Supported legacy SQL Server Data Warehouse, Data Marts, ETL pipelines (SSIS packages)

& SQL Agent Jobs.

• Created, managed and deployed Semantic Data Models (SSAS Tabular) on dedicated on-premises servers and premium Power BI Datasets using XMLA endpoints.

• Performed troubleshooting of performance issues in Power BI reports, T-SQL Scripts and SSAS Tabular Models.

• Supported migration of the legacy enterprise data warehouse (SQL Server on AWS EC2) to Snowflake Cloud Data Warehouse.

• Supported an ELT approach with Singer and DBT, defining the data mapping rules, AWS S3 bucket data source and Snowflake target for staging data.

• Wrote DBT transforms to create tables and views in Snowflake from the staging data to mirror the data objects in the legacy data warehouse.

• Supported stakeholder/user queries on the Data/BI Team's Technology Stack. Machine Learning Intern at IBM, Tempe, AZ

January 2019 — May 2019

• Implemented NLP methods to figure out prominent pain-points in Sales Support Team's Customer Satisfaction Survey data.

• Processed & streamlined the negative feedback comments data and trained LDA & CorEx models on the extracted features.

• Discovered and reported 5 major pain-points and 2 minor ones; recommended modifications to the SOPs to address them.

Design Engineer at Jacobs Engineering India Pvt . Ltd., Mumbai, India September 2016 — March 2018

• Ran flow simulations and analyzed the stress capacity data for critical piping systems.

• Implemented Excel Power Pivot solutions to curate simulation data from Ansys Fluent for further analyses.

• Created, updated and managed Tableau reports for reporting on simulation data. EDUCATION

Master of Science in Business Analytics, Arizona State University, Tempe, AZ August 2018 — May 2019

GPA: 4.0/4.0

Bachelor of Technology in Mechanical Engineering, Manipal University, Manipal, India August 2012 — May 2016

COURSES

Spark and Python for Big Data with PySpark, Udemy

May 2020 — June 2020

Machine Learning, Stanford Online

May 2018 — July 2018

Programming with Python for Data Science, Microsoft April 2017 — June 2017

Statistical Thinking for Data Science and Analytics, ColumbiaX January 2017 — March 2017

EXTRA-CURRICULAR ACTIVITIES

Machine Learning Mentor at SkoolMentor, Seattle, WA November 2019 — August 2020

• Mentored 7 students on Diabetic Retinopathy Detection - Deep Learning project.

• Taught concepts of Machine Learning, Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) to the students.

• Leveraged Python, ML Libraries, Deep Learning Frameworks (Tensorflow & Keras) and Google Colab to build the projects.

REFERENCES

References available upon request

Contact this candidate