Strong expertise in SQL, Tableua and Python

VIGNESH THULASI DASS

Boston, MA • +1-240-***-**** • ******************@*****.*** • https://www.linkedin.com/in/vigneshthulasidass/

PROFESSIONAL SUMMARY

* ***** ** ********** ** eCommerce, technology, business consulting/management, operations research, statistics or related background.

Excellent understanding of business operations and analytics.

Strong expertise in SQL, Mathematics, Dashboard Development, and Web Analytics

EDUCATION

Masters in Analytics - Northeastern University, USA Dec 2020

B.E in Computer Science - Visveswaraya Technological University, India June 2016

TECHNICAL SKILLS

Programming Languages: Java, Python, R-Programming, C, C++, MATLAB, Google Analytics, SAS

BI Tools/Frameworks: Tableau Desktop, Tableau Server, MS Excel (Advanced), Power BI, GitHub, Alteryx

GIS ArcMap, ArcGIS, ArcGIS Pro, QGIS

Databases: MySQL, PostgreSQL, Redis, Oracle, BigQuery

DevOps: AWS, GCP, Docker

Big Data Ecosystems: Pyspark, Hadoop, Databrick, Hive, Spark

PROFESSIONAL EXPERIENCE

Data Science Intern - Outbound Engine, USA Jan 2020 - June 2020

Delivered Tableau Dashboard using MySQL and Amazon Redshift across Sales and Operations teams to inform business decisions and improve quarterly performance

Performed Data extraction, used scraping and mining techniques in Python to generate business insights of client

Developed a web scraping tool to extract unstructured customer data and store in Amazon S3 bucket using Python, SQL, NLP

Assisted in schema design, code review, SQL query tuning and data upgrades with the backend team.

Business System analyst - Just Dial India Private Limited, India June 2019 - Aug 2019

Designed complex SQL-DDL and T-SQL queries for smooth movement of both analytical and transactional data

Built interactive tableau KPI dashboards to analyse weekly pricing factors to enable strategic decision making

Developed robust REST APIs and microservices using Go Lang and deployed on AWS Serverless Architecture which increased rating engine speeds up to 2 times than the previous implementation

Software Engineer - Just Dial India Private Limited, Bangalore, India July 2016 - Dec 2018

Developed data pipelines and data warehouses to handle high-volume data and facilitate analytics needs

Planned and implemented optimal solutions to enhance speed, decrease load time that led to a revenue boost of 7%

Hands-on experience in developing enterprise-grade API integration layer, web application using PHP, SQL Server/Oracle

PROJECTS

Covid19 Chatbot (MySQL, Python Web Development) June 2020

Performed Sentiment analysis for the user response and gave feedback accordingly

Built a GUI using socket programming to efficiently handle COVID-19 queries and sentiment analysis of users

Utilized cosine similarity and TensorFlow to identify intent of questions asked by user to provide recommendations

Stock and Buzz Analysis (Python, Tableau) Sept 2020

Performed analysis on 3257 different stock data from last two years by creating a Predictive model using a deep learning algorithm to predict stock price using buzz score and sentiment scores of the sponsor.

Built a Tableau dashboard that shows insights related to stock analysis, performance of stocks, periodical insights of buzz data and sentiment scores with the stock.

Coal Terminal Maintenance Analysis (Python, Tableau) Dec 2019

Created timeseries and classification models to predict maintenance of the coal terminal machines by deriving a utilization metrics, studying trends and seasonality of machine downtime

Built Tableau reports for stakeholders to identify the faulty machines that requires maintenance

Predicting Groundwater Potential Zones (ArcMap, ArcGIS, ArcGIS Pro, QGIS) July 2020

Performed the Groundwater analysis also was able to identify the Flood risk, Drought prone area analysis.

Generated the following maps Flood Risk, Drainage, Generate Soil and identify Soil Properties, Delineate Watershed, Drainage Density. Also generated the fluctuation maps to identify Good Aquifer

Household Energy Consumption Analytics (PYSPARK, Databricks, PowerBI) Sept 2019

Performed Time-series data analysis on 2075259 data, cleaned data using pyspark, and visualized the output using PowerBI.

Designed and developed data bricks models to predict the power consumption for each year and to determine which equipment uses maximum power. Used clusters to check the efficiency of the data.

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