About
I am a graduate student in Data Architecture and Management at Northeastern University with a career focuses on Data Engineering, Data Analytics, and Cloud Computing. I enjoy working in enormous data services for improving data-driven organizations. I have been certified as Microsoft Azure Data Engineer, Azure Data Scientist, Azure Data Analyst, and Azure AI Engineer. I am keen on learning new technologies and developing techniques to improve the solution.
Data Engineer & Data Analyst
Objective excellent and dynamic data enthusiast seeking opportunity to work in a competitve and fast growing environment where my analytical and methodical skills will be of great value in achieving the company's missions and goals.
- Birthday: 2 July 1997
- Website: https://vignesh27-97.github.io
- Phone: +1 (857) 308-9650
- City: Boston, USA
- Degree: Masters
- Domain: Information Systems
- Email: baskar.v@northeastern.com
- Open To Work: Available from 8th May 2023
Please free to contact me any time by email or phone.
Years of Professional Work Experience
Academic Projects
Microsoft Azure Cloud Certifications
Data Analytics Projects
Technical Skills
Resume
Summary
Vignesh Kumar Baskar
Graduate Data Architect student with a career focus in the area of Data Engineering, Data Analytics and Cloud Computing.
- Boston, MA
- (857) 308-9650
- baskar.v@northeastern.edu
Education
Master of Science in Data Architecture and Management
Sep 2021 - May 2023
Northeastern University, Boston, MA
Relevant Coursework: Advanced Data Science, Database Management and Design, Data Architecture for BI, Big Data Systems
Bachelor of Technology in Mechanical Engineering
June 2015 - May 2019
SASTRA University, Thanjavur, India
Relevant Coursework: Management Information Systems, Software Project Management, Web Technologies
Professional Experience
Data Analyst Co-Op
June 2022 - Dec 2022
Wayfair, Boston, MA
- Built an automated data pipeline integrating several cloud data sources to generate Wayfair Corporate Hiring Report, thereby reducing 60% of the monthly manual workload and saving approximately 25 hours per month
- Developed a metrics dashboard in Google Looker Studio for analyzing the monthly, and quarterly new hire counts for different working regions, resulting in a 20% increase in Sales & Service training program efficiency
- Automated the Stock Inventory data management by introducing a QR code system using JavaScript for optimizing the inventory management, and resulted in reducing stockouts by 30% and overstocking of items by 18%
- Performed ad-hoc analysis in Tableau for providing insights and recommendations to support business decision-making
- Collaborated with cross-functional teams to design data models and implement BI solutions to meet stakeholder requirements
Data Research Assistant
Feb 2022 - May 2022
Northeastern University, Boston, MA
- Worked on digital analytics initiative research program for transforming the organizations into a data-driven business
- Leveraged advanced NLP techniques, including sentiment analysis and topic modeling with LDA and Gensim algorithms, to analyze Yelp reviews across the US and predicted the impact of COVID-19 vaccination policies on local businesses
- Employed statistical testing techniques to design and implement A/B tests, which revealed key insights into customer behavior and resulted in a 20% increase in conversion rates
Software Engineer
June 2019 - July 2021
Wipro, Chennai, India
- Optimized system performance by stealthily maintaining and upgrading cloud solutions, resulting in a 40% reduction in system downtime through the implementation of high availability geo-replication
- Designed and developed automation workflow for patching Red Hat Linux servers by scheduling jobs in Ansible Tower
- Monitored server performance bottlenecks, and key metrics to drive improvements across the server platforms
- Demonstrated ability to create documentation, deployment guides, and maintenance preparation task lists reducing the new joiner's training period by 30% and instructing time by 20%
- Implemented data governance policies and procedures to ensure data privacy and compliance with regulatory requirements
- Designed and implemented a scalable data lake solution using Azure Data Lake and Azure Data Factory, resulting in improved data access and increased efficiency in processing and analyzing large data sets
- Migrated On-Premises database servers to Azure SQL DB, resulting in a 20% reduction in infrastructure costs
Projects
I have worked on projects related to Data Engineering (building pipelines for ETL process), Data Analytics (analyzing business data and generating reports in terms of business requirements), and Data Science (analyzing and predicting data using different data science algorithms), Cloud Engineering (migrating database servers from On-Prem into cloud services).
Boston Food Inspection
Analyzed the Boston food inspection data, designed the dimensional model, and performed ETL using Alteryx to the target Azure SQL Server
Rental Car Management System
Designed and developed the car management database system in Oracle for maintaining the car inventory, customer details, ride-booking orders, and payment transactions
IMDB Data Warehousing and BI
Integrated data from several sources and created BI visualization dashboards and reports in Power BI and Tableau for responding to business-oriented problems
New York Arrests ETL
Performed data preparation, designed data pipeline, performed ETL and data wrangling using Talend and Alteryx to ingest, analyze and integrate over 5 million records into the Cloud DB
Spotify Hadoop Big Data Analysis
Configured the Hadoop ecosystem and executed multiple MapReduce programs in Java for performing data extraction, transformation, and aggregation
US Tornado Prediction Analysis
Analyzed the Tornado dataset for the US States for the past 70 years and calculated methods of moments
Shakespeare Publications Sentiment Analysis
Performed sentimental analysis for all his works by removing stop words, performed stemming and lemmatization and plotted time series analysis for each genre
English Premier League Prediction Analysis
Performed Hypothesis testing on the statistical difference in the odds of winning a game when a team is playing in front of their home crowd by considering alpha to be 0.05
Yelp Restaurant Review Analysis
Merged customer reviews of the Yelp business dataset and performed contextual mining of text by identifying and extracting customer reviews based on Sentiment analysis
Comic Book Script Narration
Developed software for applying animation effects to the frames and exporting as a pdf version for presenting the script to producers
Contact
Location:
5 Atherton Street, Boston, MA 02119, United States
Email:
baskar.v@northeastern.edu
Call:
+1 (857) 308-9650