Data Science & Business Intelligence Analyst Resume

SUMMARY:

Data science and business intelligence professional with managerial experience of 9 years. Seeking to increase data efficiency for Confidential Created models to predict cosmetic product sales with 15% more accuracy than the historical average. Achieved 10% improvement in managing the inventory for our cosmetic clients. I have 6 years of experience working with senior management of companies ranging from Fortune 500 companies to startups.

EXPERTISE:

Strategy & Insights Statistical Analysis Data VisualizationFinancial Analysis Demand ForecastSegmentation Marketing Strategy Product Mgmt.

Data Science

Program & Tools

Regression

R / R Studio

Time Series

Python

Clustering

SAS

Classification

Tableau

A/B Testing

Matlab

Random Forest

SQL

Gradient Boost

C/C++

PROFESSIONAL EXPERIENCE:

Confidential

Data Science & Business Intelligence Analyst

Responsibilities:

Created and presented models for predicting future sales to our clients. Achieved 15% better estimation in prediction.
Data - mining of Regulatory databases & Cosmetic retailer’s data and build predictive models to optimize business processes
Regulatory Compliance, inventory optimization, brand product- line assortment, forecasting seasonal spike and promo impact, market basket analysis.
Designing web data tools using Python to scrape the regulatory databases to update the current data base of the company.
Analyzing the client’s data using Tableau and Python and building the analytics frameworks for better managed flow of project and development activities
Assisting senior management and sales with operational insights to better position he

Confidential

Business Intelligence Analyst

Responsibilities:

Evaluated M&A opportunities for Confidential through financial modeling, commercial evaluation of projects
Conducted data driven electricity market analysis & research to provide organizational headlights to senior management to navigate the electrical & automation industry landscape
Managed divestments of a Transmission company, a Ceramic company and a software services company

Data Science Consultant

Confidential

Responsibilities:

Worked as data science consultant for Confidential analytics company to improve the process of advising ad campaign strategies to its clients
Worked on a dataset containing 1 million rows of tweets during the Super bowl
Performed Buzz Graphs and Entity Analysis to analyse the pattern of Keywords and brands the viewers are tweeting
Performed sentiment analysis on user tweets using logistic regression around the brand campaigns
Implemented analytics-based ad campaigning for the company’s clients based on the sentiment analysis and it resulted 20% more engagement

Data Science Consultant

Confidential

Responsibilities:

Conducted A/B Testing analysis on a travel booking start up website versions to analyse the effectiveness of each version to attract users
Developed a supervised Confidential model to predict Confidential
Performance between the teams based on 20 years of player’s data and weather data
Developed a scraping algorithm to detect the new regulatory changes from regulatory databases

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