Data Analyst Python

Balaji Ekiri Vaidyanathan Raman, MS

Dallas, TX 682-***-****

********************@***.*** LinkedIn GitHub

OPT Certified Work Permit till 2023

Data Scientist

Summary

Critical thinker skilled in impacting business operations and data-driven decision making by leveraging statistical and mathematical analysis to isolate patterns and trends. Passionate about machine learning, artificial intelligence (AI), and research, applying skillset to resolve complex issues and improve processes. Energetic team member with demonstrated integrity and success in both supporting and learning from cross-functional teams to collaborate and solve problems.

Areas of Expertise

Statistical Analysis

Machine Learning Algorithms

Data Science Techniques

Research and Analysis

Project Management

Data Mining & Manipulation

Visualization Reporting

Communication Skills

Software Development

Education & Credentials

Master of Science (MS) in Business Analytics, Southern Methodist University, Cox School of Business, Dallas, TX – 2020

Bachelor of Engineering (BEng) in Computer Science, Anna University, Chennai, India - 2014

Professional Experience

Databricks, San Francisco, CA 08/2020 – 11/2020

Data Scientist (Intern)

Advanced Technical Skills & Tools: Python, SQL, Apache Spark, Databricks, Microsoft Azure

Drove revenue for Databricks by communicating benefits of developing recommendation engines using Apache Spark and Databricks’ products to 20+ eCommerce clients. Researched and implemented various recommendation engines and ML algorithms, presenting findings to prospective clients via workable notebook.

https://databricks.com/blog/2020/12/18/personalizing-the-customer-experience-with-recommendations.html

Key Accomplishments:

Responded to clients’ needs to synthesize large volumes of semi-structured data on websites, resulting in increased customer satisfaction and revenues.

Produced personalized recommendation engines via ML using data science techniques, integrating engines into retailer websites.

Infosys Ltd., Chennai, India 06/2014 – 07/2019

Business Data Analyst (07/2016 – 07/2019)

Advanced Technical Skills & Tools: Python, SQL, Java, Tableau, Microsoft Office, Git, Jira

Streamlined data pipelining process by building large datasets for visualization reporting and analytical modelling. Transformed credit risk model for banking client by leveraging statistical and mathematical analysis during data mining, data gathering, trend identification, and analytical problem solving. Compiled key insights into incident management tool through integration with Tableau Dashboards.

Key Accomplishments:

Optimized ability to predict credit defaulters on behalf of bank by formulating logistic regression ML algorithm in Python, ultimately reducing projected loss due to defaults $20M.

Facilitated sign-off of $50K project by unveiling strategy for migration and decommissioning; executed batch data processing for 15-years of bank trade data via Oracle RDBMS.

Visually presented business insights (performance / health) and recommendations for stakeholders on Tableau Dashboards, resulting in 38% increase in revenue; infused dashboards with key metrics.

Improved processes, shrinking time spent gathering requirements 50%, by converting business requirements into technical user stories in collaborative effort; applied Agile methodology.

Software Engineer (06/2014 – 06/2016)

Advanced Technical Skills & Tools: SQL, Java, Microsoft Office, Git

Improved Bank’s credit approval process via development of customer management app utilizing JAVA and SQL. Reduced manual hours by automating job monitoring and report generation utilizing complex SQL queries and JAVA programming.

Key Accomplishments:

Isolated and corrected costly financial reconciliation issue for banking client via SQL and Core JAVA; actualized $100K in savings.

Maximized manpower, shaving 50 hours per month off training times by sharing technical knowledge with new hires during creation of business logic coding.

Bolstered application performance and lowered manual hours 80 per month by automating ad hoc reporting and job monitoring using SQL queries and JAVA.

Technical Proficiencies

Languages:

Database & Data Processing:

Python, R, SQL, Java

Microsoft Sql Server, Oracle RDBMS, Apache Spark, Databricks

Machine Learning (ML) Techniques:

Regression & Clustering Algorithms, Time Series Modeling, A/B test Methods

Data Visualization & Tools:

Tableau, Google Analytics, Excel, Alteryx, Eclipse, Jira, Git

Graduate Projects

Greystone Capstone Project (2020)

Produced comparison between Greystar’s and competitor’s real estate assets based on key metrics, presenting findings on Tableau Dashboard. Forecasted revenue using ARIMA model; enhanced model’s effectiveness 20%.

Twitter Analysis – Natural Language Processing (NLP) Project (2020)

Classified whether tweets related to disaster, with 82% accuracy rate; analyzed dataset from Kaggle and integrated Bag of Words Model in Python utilizing NLTK, Numpy, pandas, and scikit.

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