Rajendran Seetharaman Resume

About Me

An aspiring analyst with a keen business acumen and excellent analytical and problem solving skills grounded in 5+ years of programming experience, demonstrated SQL expertise, and creativity and inquisitiveness in exploring big data.

I strive to integrate these skills to help draw business insights and facilitate data driven decision making. I am a Master of Science in Information Management candidate at the University of Washington specializing in the fields of Business Intelligence and Data Science.

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My Skills

SKILLS: Business Intelligence, Data Analysis, Machine Learning, Data Integration, ETL, Data Warehousing, OLAP, Software Engineering, Requirements Analysis, Data Modelling, Data Visualization, Statistics, Social Media Mining.

TOOLS: MS-SQL, Oracle, MySQL, Tableau, SSIS, SSAS, Microsoft APS, Python, Spark, R, Shiny, Hadoop MapReduce, Java, Power BI, MongoDB, AWS Redshift, SAP BO Data Services, SAP BI, Visio, Excel, XML, JavaScript, d3.

SQL

90%

Python

85%

Tableau

85%

R

80%

Education

M.S. INFORMATION MANAGEMENT

UNIVERSITY OF WASHINGTON

SEPT 2016 - JUNE 2018

Specializations: Business Intelligence and Data Science

Relevant Coursework: Business Intelligence Systems, Data Science – EDA and Machine Learning, Advanced Data Analytics using Python, Social Media Data Mining, Advanced Relational Database Systems, and Research Methods.

B.E. COMPUTER ENGINEERING

UNIVERSITY OF MUMBAI

AUG 2010 - JUNE 2014

Relevant Coursework: Data Warehousing and Mining, Data Structures, Analysis of Algorithms, Object Oriented Software Engineering, Computer Programming, Project Management, and Web Engineering.

Work Experience

Applied Materials (Santa Clara, California | Boise, Idaho)

Data Analyst (BI Analyst)

JUN 2017 - Present

Skills: Business Intelligence, Reporting, Data Integration, Tableau, MS-SQL, Python

Drove the design, implementation, and deployment of the Contract Management BI system, currently in use by 100+ finance, operations, sales personnel globally to gain actionable insights from past client service contract performance.

Currently implementing a Spares Health Dashboard for Spares sales revenue, cost, repair costs, and inventory analysis.

Collaborated with key finance, operations, and sales personnel to build ad-hoc Tableau dashboards designed to address 3 strategic high value business problems - Product install cycle, Spares sales, and Market share analysis.

Mediaware – Infotech (Mumbai, India)

Product Analyst

DEC 2015 - APR 2016

Skills: MS Project, Excel, Web Technologies, Agile Development

Collaborated with software developers, testers, and subject matter experts to successfully implement and deploy an enterprise - wide event management tool, speeding up the financial reporting process by about 6-7 hours.

Drove key project deliverable’s by interviewing key stakeholders and charting out the future product roadmap.

Accenture Services (Mumbai, India)

Data Analyst

AUG 2014 - SEPT 2015

Skills: ETL, Data Integration, SAP BODS, SAP ECC, MS-SQL

Planned and executed data extract, transform, load activities for a multinational Agro-based client by creating data pipelines for migrating data from legacy system to SAP databases, resulting to its successful integration with the front-end SAP system and higher availability of quality operational data in the client production system.

Implemented SAP BODS objects and batch jobs to automate the migration process for key client business processes like sales orders, broker commissions, and customer disputes resulting in higher operational efficiency for the client.

Projects

Link to Github

Enterprise BI solution

Created an end-to-end BI system for a product manufacturing company, which can be used to analyze its historic sales data and derive actionable insights using performance metrics like revenue, costs, profit, target profit margins.
Email spam detection and classification

Conducted a comparative study to evaluate the performance metrics of 3 email spam classifiers implemented using naïve bayes, decision trees, and random forest Machine Learning algorithms and trained on Gmail mail text data.
United Airlines incident impact analysis

Conducted an exploratory impact analysis of the United flight 3411 incident and understand if there was any correlation between the user tweets and NYT articles sentiment about the incident and UAL stock prices.
Neural net for digit classification

Implemented a 2-layer neural network using gradient descent to classify handwritten digits (0-9) with 85% test accuracy. Used the MNIST handwritten digits dataset for model training and testing. Used tanh and sigmoid as the activation functions.
Movie and Actor popularity analysis

Analyzed a corpus movie and actor data scraped using the open movie DB API to generate the popularity trend of various actors over time. The metric i used to measure popularity of the actor was the cumulative profit that the actors films made in a particular year. I also analyzed the popularity of the various movie genres to understand the seasonal popularity of different movie genres. Used the Bokeh library to create the visualizations.
Broadband speeds in Seattle Analysis

Visualization created using the D3 JavaScript library which helps compare the costs of different broadband providers in Seattle for different upload and download speed bands.
Diamond prices regression analysis

Created a regression model to predict diamond prices based on variation in predictor values like carat, cut, color, clarity, and dimensions of the diamond. Tools used – R, Shiny.

Link - https://rajsv.shinyapps.io/shinyapp/
Online adaptive exam system

Created an online exam system using a personalized learning algorithm based on exponential smoothing which adapts the difficulty based on student performance. Implemented it using PHP, JavaScript, and MySQL.