Data Analyst
Resume:
NEENA SHEREEN PRATHAP
CO ***** USA
CELL: 720-***-****
**************@*****.***
www.linkedin.com/in/neena-prathap
Business Analyst
SUMMARY
Reliable and responsible Analyst, currently doing Graduate program in University of Colorado, Denver, (emphasis Big Data Analytics) with more than 3 years of experience in Business data analytics and data management. Strong background in Business Process Management, Strategizing, Data Analytics and Data Visualization. Highly skilled in designing and developing BI solutions. Extensive experience in model building, trend analysis and driving complex projects from start to finish under Waterfall and Agile methodologies.
HIGHLIGHTS
• Business Analysis
• Requirements Gathering and Management
• Data Mapping
• Statistical Analysis using JMP.Pro, SAS,
Python and R
• Exploratory Data Analysis and Data
visualization
• Advanced problem-solving abilities
• Business Process Analysis
• Supply chain Analytics
• Predictive Data modelling
• Strategy making and analysis using Gurobi
and AMPL
• Risk analysis
PROFFESSIONAL EXPERIENCE
Business/Market Research Analyst April 2017 – February 2018 Family Plastics Thermoware Pvt. Ltd, Kerala, India Key Contributions
• Conducted Market Research to gain insights into market trends, identifying competitors, customer trends, did data profiling, exploratory data analysis using R and effectively visualized data using PowerBi and Tableau for the benefit of senior management.
• Identified Key Performance Indicators relevant to the firm and developed methods to improve business processes.
• Created forecasting models in Python to predict sales and revenue across 5 sectors of regional market.
• Suggested advertising strategy based on market research and analysis.
• Conducted Competitive landscaping across region, product, and services.
• Created automated reports using Excel Macros.
• Gathered data requirements and ensured data accuracy and completeness.
• Designed and securely published Tableau workbooks with advanced calculations from multiple data sources using data blending
Data Analyst February 2016 - February 2017
Sree Dhanya Homes Pvt. Ltd, Kerala, India
Key Contributions
• Built customized interactive dashboards in PowerBi that highlighted the quality and affordability of the apartments offered by the company that increased the new customer base by 10%.
• Used Data blending to develop workbooks from multiple data sources.
• Build a predictive model using Python forecast the buying pattern of the customers that helped the management to streamline their construction activities.
• Complied data on 1500 real estate properties in Kerala and Tamil Nadu, into functional database for an investment proposal.
• Delivered inhouse-software requirements artifacts like use cases, user stories, and SRS documents.
• Worked with users and the development team to gather business requirements and translated them to technical requirements.
• Gathered, documented, and analyzed Business Requirements using various techniques such as interviews, surveys, site visits, workflow analysis, business process etc. and designed the software solution using Tableau.
• Created compelling visualizations of the market trends and buying pattern of the customers, presented the summarized data using statistical tools for the benefit of senior management. EDUCATION
University of Colorado Denver, Business School, Denver, CO Master of Science, Business Analytics; Expected Graduation FALL 2020 University of Kerala, Kariavattom, Kerala
Master of Philosophy, Economic Model Building and Advanced Research,2014 Master of Arts, Analytical Economics,2012
TECHNICAL SKILLS
Operating Systems Windows 7/8/Vista/XP
Data analysis, Data Visualization and
Project Management
Technologies/Tools
MS Office -PowerPoint, Word, Excel, Outlook, Visio, MS Project, Power BI, Google Analytics, Tableau, Lucid Chart, JIRA, WRIKE, Google Data Studio.
Databases MS Access, SQL
Statistical Software and Analytical
tools
JMP, SAS, Python, R
Operations Management and Strategy
building
Gurobi, Advanced Excel Data Modelling tools
PROJECTS
Cryptocurrencies & Stock Market
Analyzed four major cryptocurrencies and four diversified stocks using Python. Performed EDA, descriptive analysis and ran multiple linear regression models to gauge the market trends. An analysis of Non-Airline Revenues at Denver International Airport Developed predictive analysis model for forecasting non-airline revenues in R. Used Excel and R to perform data visualization, data pre-processing, EDA, model building & selection Python based algorithm for Ride Fare Maximization
Coded to identify maximum revenue of a cab driver in Python. Random instances of rides were generated; a graph G was created with 100 nodes which acted as100 locations. With an average revenue of
$250 for 8 hours of drives per day, results were practical Housing Price Prediction
Build Predictive Model using Advanced Excel and R; analyzed data, performed EDA, data modeling, model validation and prediction with various models like Regression, Ridge, Lasso, Elastic Net Algorithms
Selecting Potential Customers for Credit Card Benefits. Building a Predictive model using JMP pro for predicting potential customers of credit card company who accept offers and benefits; analyzed data, performed EDA data modeling model validation and prediction,
Expansion of Startups in US
Trend analysis on the expansion of startups in major US states and provinces, during the period 2018 to 2020, done using PowerBi.
Covid-19 Pandemic: Data Science Perspective
Using the data compiled by Jon Hopkins university, a detailed analysis of the trends and pattern of the Covid-19 pandemic was conducted. Performed data preprocessing, EDA, and Modeling in R and PowerBi. The underlying trends of the data are visualized using PowerBi and Tableau. Us Foreign Trade: Emphasis on Aquaculture
A detail analysis of 3 decades of seafood trade pattern of US with the rest of the world. Created a dynamic dashboard Powerbi showing the trade pattern, key trade partners and the “start products” of the trade.
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