SUMMARY

• 6+ years of experience in performing deep - dive data analysis and representing the results visually to help senior management and teams identify actionable business insight
• Developed models for Operations team which resulted in +1.4% increase in revenue
• Identified customer groups for Sales team which resulted in +0.8% increase in revenue
• Experienced in Descriptive, Inferential, Predictive statistical analysis and Machine Learning using R and Python
• Experienced in analysis, modelling, reporting and visualization using R, Python, Excel & Tableau
• Experienced in developing complex SQL queries and NetSuite Saved Searches for reports
• Experienced in working as full stack Data Scientist / Analyst in various agile, cross functional teams working closely with C-Level Executives & Sr. Management teams in Software, Service & Retail domain

TECHNICAL SKILLS

Languages: Python, SQL, R, Java

Web Analytics Tool: Google Analytics, Adobe SiteCatalyst

Statistical Packages: R, Python

Data Visualization / BI Package: Tableau

Database Management Systems: SQL Server, MySQL, PostgresSQL

Analytic Packages: Excel, Weka

Tools: / Version Control: Python Win, R Studio, GIT, MS Office

Cloud Technologies: Amazon Web Services (AWS)

ERP Software: NetSuite

TECHNICAL SKILLS

Data scientist

Confidential

Responsibilities:

• Reported to and worked closely with the CFO on the areas of Cost Reduction, Optimizing Operations and other business challenges using Python, R, Excel and Tableau
• Developed KPI’s and Metrics from the Data pipeline for the entire organization making well rounded reports reflecting the health of the business, helping Executives take decisions faster
• Developed Weekly Business Development report for the Sales team to show Bookings & Revenue w.r.t the Budget including detailed view of Contracts, Opportunities & Proposals in pipeline
• Developed Monthly Man Power Planning & Productivity report and various ad hoc P&L reports
• Supported the Sales and Marketing team in implementing phases of the Go-to-Market strategy
• Developed an algorithm and statistical model to help in scheduling Work Orders, by following the algorithm work orders were cleared from the queue faster, resulting in +1.4% increase in revenue
• Applied Supervised Machine Learning algorithms to analyze Customer sentiments
• Wrote complex saved searches and built reports in NetSuite for Data Mining and performed deep dive analysis to answer specific Business questions for the Sales and Contract Renewal team
• Converted existing excel based reports to interactive dashboards in Tableau.
• Worked both vertically and horizontally across the organization helping various teams, especially the Finance, Sales, Operations, Scheduling, Marketing and Dispatch teams in various ad hoc analysis and reporting requests daily

Customer Data Analyst

Confidential

Responsibilities:

• Developed, maintained & delivered company - wide weekly and monthly dashboards to communicate the company’s revenue and growth related KPI’s.
• Statistically summarized the WOW/ YOY performance and presented the findings to C level management helping them identify the revenue generating channels
• Analyzed survey and demographics data for the Sales and Marketing teams to help them identify customer groups for Behavioral Retargeting which resulted in +0.8% increase in revenue. Data was statistically analyzed using R & Tableau was used for presenting the results.
• Applied predictive analysis on Multivariate Test data for Director of UI/UX design, helping him realize an untapped potential of $3.6 MM annually, if marketing is optimized by channel
• Developed test cases and performed Multivariate, A/B and Regression tests with the UI/UX team and statistically analyzed the data
• Supported the Marketing team in designing and implementing the Go-to-Market strategy
• Developed SQL queries to collect data from multiple databases and create a centralized data warehouse in SQL Server
• Worked both vertically and horizontally across the organization helping various teams, especially the Sales, Merchandising, Marketing, UI/UX and Finance teams in various ad hoc analysis and reporting requests daily

Analyst

Confidential

Responsibilities:

• Performed exploratory data & regression analysis on large geospatial data sets using Python & R
• Performed predictive analysis for site selection studies and used location intelligence to help corporate companies decide their real estate portfolios
• Presented the analysis results as graphs/charts to real estate brokers using Tableau
• Used Weka and R to extensively query, analyze and mine high resolution satellite images
• Perform advanced spatial analysis and interpolation on large spatial dataset using Python scripting

System engineer

Confidential

Responsibilities:

• Used Python and Java for development and support of client project
• Used Data Mining techniques to find interesting patterns and improve business decisions
• Used Predictive Analytics to forecast estimated revenue for new manufacturing unit
• Communicated the findings to senior management using Excel dashboards
• Used R for performing data analysis & hypothesis testing to decide quality of prediction