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