Data Scientist Resume Minneapolis MN - Hire IT People

SUMMARY

Data Scientist with a graduate degree in business analytics and around 5 years of experience in gathering insights from data across industry verticals.
Strong analytical mindset - Experienced in defining business problems in quantifiable metrics and converting data into actionable insights
Strong business acumen - Experienced in gathering and understanding business requirements as well as creating project timelines and managing teams to deliver high performance projects
Expertise in analytical and business intelligence tools like R, Python, SQL, Tableau

TECHNICAL SKILLS

Technical: R, Python Stack: NumPy, SciPy, Scikit-learn, Pandas, Cairo, Excel, Big Data Stack: Hadoop, Hive, Pig, AWS Services (DynamoDB, RDS, Kinesis, EC2), Shell Scripting, Tableau, Java, SQL, NoSQL

Analytical: Predictive Modeling, Customer Segmentation, Forecasting, Natural Language Processing, Hypothesis Testing, Web Scraping, Data Management

PROFESSIONAL EXPERIENCE

Data Scientist

Confidential, Minneapolis MN

Responsibilities:

Developed a working prototype by integrating various AWS tools that would ensure a seamless data flow from sensors to a dashboard on Tableau Server
Created a predictive models for predicting fault in the system at separate stages of life cycle in real time using python packages such as pandas and sk-learn

Data Analyst

Confidential

Responsibilities:

Analyzed and optimized data security for a multinational mass media company using Symantec DLP, Bay Dynamic Risk Fabric tools
Recommended various optimizations to the existing processes with the help of business requirement analysis and incorporating policy changes using regular expressions
Increased the efficiency and accuracy of the system that helped secure the client environment and reduced the amount of false positives from over 70% to under 15%
Developed key deliverables and executive presentations showcasing the impact of the security analysis that helped fetch new business from the client

Data Analyst

Confidential

Responsibilities:

Developed a smart keyboard application that predicts subsequent words using Rshiny
Created the prediction algorithm using Back-off Model and the probability of a word being used by a particular user

Data Analyst & Visualization Lead

Confidential

Responsibilities:

Helped the founders develop the website as well as help in developing visualizations used in the website using d3 package
Analyzed the data for ad-hoc analysis request by customers and created dashboards for them to help their businesses in increasing their profitability as well as sales

Data Analyst

Confidential

Responsibilities:

Developed models to predict what should be advertised to users for targeted advertising using various classifiers such as Feature Based, Modified Feature Based, Naïve Bayes and modified K-nearest neighbors models
Extracted, Cleaned and Structured and performed Sentiment Analysis on the data
Tested the models on tweets extracted from twitter after a manual classification of the data and achieved an accuracy of 80%

Data Analyst Intern

Confidential

Responsibilities:

Analyzed mortgage data provided by the bank to understand the market and growth areas
Developed a dashboard that would help the stakeholders in making strategic decisions towards growth in home loans as well as comparison with competitors

Technologies used: Python, NoSQL (AWS DynamoDB), SQL (AWS RDS), AWS EC2, AWS Lambda, AWS Kinesis, Shell, Tableau, JavaScript

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Data Scientist Resume

Minneapolis, MN

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