Supply Chain Data

GOKUL KRISHNARAJ

**** *** ** **, *******, Washington 98012 ***************@*****.*** Mobile 267-***-****

PROFESSIONAL SUMMARY

* ***** ** ********** *** educational experience in Business Intelligence and Analytics Reporting.

Experienced in ad-hoc hypothesis driven analysis, preparing reports using Excel and developing dashboards using Tableau.

Proficient in Business data analysis, supply chain analytics, web analytics, statistical modelling, predictive and big data analytics.

Much abled in gathering and meeting client requirements, Compass Time tracking analysis and JIRA administration.

Handled socializing tools at various avenues namely documentation, deep dive and brown bag sessions.

Knowledge in Data Structures and Algorithms.

EDUCATION

Saint Joseph’s University, Haub Business School, Philadelphia, PA December 2016

Master of Science – Business Intelligence and Analytics (Major) GPA: 3.97/4

Knowledge and Expertise: Business Intelligence, Business Analytics, Web Analytics, Big Data Analytics, Data Mining, Database Management(SQL), Supply Chain Management, Predictive Analytics, Critical Performance Management and Six Sigma

Loyola College - Chennai, India May 2015

Bachelor of Commerce-Finance (Major) GPA: 3.78/4

Knowledge and Expertise: Financial Accounting, Cost Accounting, Management Accounting, Advanced Corporate Accounting, Business Management, Business Environment and Ethics, General Economics, Taxation,

Stock Market Operations, Business Law, General Statistics, Financial Management

Trained in Software Engineering at Apollo Computer Education Ltd, Chennai July 2015

CERTIFICATION

1. Business Intelligence (SAS Institute) 2. Data Science (Microsoft)

TECHNICAL SKILLS

Programming languages

C#, Python, SQL

Business Intelligence & Analytical tools

Excel, Azure ML, Google Analytics, Python, JMP, R, SAS

Visualization & Project Management tools

Tableau, Power BI, JIRA

Database

Oracle, SQL Server

EXPERIENCE

Business Analyst, Thomson Reuters, Times Square, New York. June – December 2016

Reporting Blocked User

Analyzed employee’s activity data to predict the blocked employee by collecting and compiling the data from database.

Collected data were cleansed, transformed, improvised the metrics and prediction was performed using machine learning algorithms.

Skills/Concepts – Azure ML, Oracle database, Logistic Regression (Algorithm).

Compass Time Tracking Analysis

Anomaly Detection – Analyzed the compass time tracking tool, found the patterns of the system disruptions, identified the

critical anomalies and narrowed down the errors.

Root Cause Analysis – Performed root cause analysis, tracked and segmented the critical reasons for breakdown of the tool

through different parameters/dimensions by performing decision tree approach.

Migration Toolchain

Collected requirements, needs, use cases and documented them for the process of migrating active projects to the latest version of JIRA toolchain by adopting waterfall methodology.

Data Analyst, NdimensionZ, Kochi, India May 2014 – July 2015

Retail Use Cases

Studied Retail Use Cases of Jewelry firms.

Collected customer’s behavioral data, data were cleansed and metrics were analyzed.

Analyzed and grouped (clustered) the customers based on purchasing power, applying machine learning clustering algorithms.

Skills/Concepts – K-Means Algorithms, Google Analytics, Azure ML, SQL

ACADEMIC PROJECTS May 2015 – December 2016

Facebook Analysis of leading Universities

Analyzed usage of Facebook by leading US universities by collecting posts from official FB pages using GraphAPI.

Collected posts were cleansed, processed, categorized using a codebook and social network analysis was performed.

Skills/Concepts – Python (NumPy, Pandas, Matplotlib), Tableau.

Web Analytics

Created, hosted a website, analyzed user’s behavior, used metrics to identify the pitfalls in the website.

Optimized website, which increased the traffic by 25%, improved the conversion rate and decreased the bounce rate.

Monitored user’s behavior and reported improvements using visualization dashboards.

Skills/Concepts – Google Analytics, Tableau, A/B test, SEO.

Predictive Modeling

Analyzed, developed a predictive model, identified the student’s economic condition by collecting data from Bolivian children

survey dataset.

Collected data were cleansed, found significant factors and developed a model to predict the output (Binary Classification).

Skills/Concepts – SAS Enterprise Miner, Excel, Decision tree (Algorithm).

Supply Chain Business Analytics

Conducted case study on business processes, created competitive advantage and gained greater market share. Also, value chain

analysis was carried out, identified the bottlenecks and improved the business process.

Performed hypothesis-driven strategic analysis, cut down expenses through solutions and strategic decisions.

INTERNATIONAL HONORS/AWARDS / LEADERSHIP

Honored, with membership in Beta Gamma Sigma, the International Honor Society for Collegiate School of Business 2017

Rev.Fr. Albert Muthumalai Gold Medal, Loyola College, Chennai, India 2015

Joint Cultural Secretary, Loyola Student’s Union, Chennai, India 2014-2015

All Rounder of the School, Don Bosco Mat. Hr. Sec. School, Chennai, India 2009-2010

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