Data Analyst

Sai Gopal Polsani

Harrison, New Jersey, *****

Cell: 848-***-****

Email: ********.*******@*****.***

www.linkedin.com/in/sai-gopal-polsani

Data Science Analytics Business Intelligence

Self-driven, detail oriented, motivated and responsible Engineer with focus on Data Analytics, Data Science and Business Intelligence where critical thinking and strategic skills will be put to a greater use. Key Areas of Expertise:

• Data Analytics

• Data Visualization

• Leadership

• Logical thinking

• Database

• Machine Learning

PROFESSIONAL EXPERIENCE

Data Analyst intern: Niha Technologies Inc., Herndon, Virginia Jun 2019 - Aug 2019

• Managed the internal database, provided statistical analysis report.

• Gained exposure in the business operations and day to day activities.

• Developed analytics reports to evaluate acquisition of a new company

• Assisted in development of data formatting and cleaning criteria from various data sources and removed the duplicates from the data making the data 100% useful.

• Developed reports, interactive dashboards and internal procedures in Tableau to make informed decisions .

• Supported multiple internal levels of management in the evaluation of initiatives.

• Maximized effectiveness of analysis programming and reporting.

• Created data sets for analysis using database and analytic tools which in turn helped the company to make critical decisions with a high precision.

Business Analyst Intern: ECLAT Health Solutions, Hyderabad, Telangana, India May 2017 – Jul 2017

• Gained experience in the administrative elements of the software industry which also helped in comprehending the scenario of the industry.

• Gained insight about the market through extensive interaction with the employees and customers.

• Responsible for specifications, implementations, and analytics

• Prepared business models, flowcharts, and diagrams to help the proper flow of the projects.

• Engaged Clients to gather software requirements

• Translated client requirements into deliverables

• Evaluated risks related to requirements implementation and communication.

• Drafted business requirements and aligned them with technical requirements which increased the efficiency and the effectiveness of the projects.

Database Intern: Idea Entity Tech Solutions Pvt. Ltd., Hyderabad, Telangana, India Dec 2016 – Jan 2017

• Worked on development of MongoDB

• Assigned to work with development team and worked on database management

• Been responsible in supporting the backend development team for managing data and putting it into efficient use.

• Performed as a team player and consistently met deadlines for all the responsibilities. RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY GPA: 3.95/4.0 Rutgers Business School – Newark & New Brunswick, New Jersey Master of Science, Information Technology & Analytics Aug 2018 – Dec 2019 Courses: Analytics Business Intelligence, Business Forecasting, Data Analysis and Decision Making, Business Data Management, Statistics and Machine Learning, Software Development, Business Analytics Programming, Data Science Vellore Institute of Technology, Vellore, Tamil Nadu, India GPA: 3.4/4.0 Bachelor of Technology in Computer Science and Engineering Jul 2014 – May 2018 Courses: Database Management System, Information Security, Business Intelligence, Object Oriented Programming, Data Structures and Algorithms, Management Information Systems, Computer Networks SKILLS AND APPLICATIONS

• Technical Skills: C, C++, Python, R, SQL, HTML, CSS, PHP. Access, Powerpoint, Pivot tables,

• Libraries: Pandas, Numpy, Matplotlib, Scikit-Learn, Seaborn, SciPy, ggplot, ggplot2, Tensorflow, NLTK

• Tools: Microsoft Excel, Tableau, Visual Studio, R Studio, Jupyter Notebook, Spyder, Project Libre CERTIFICATIONS

• The Data Science Course 2019: Complete Data Science Bootcamp (Udemy)

• Machine Learning: Python and R in Data Science (Udemy)

• Excel Essential Training (Office 365) (LinkedIn Learning)

• Fundamentals of Data Visualization in Tableau (Udemy)

• Python for Data Science Essential Training (LinkedIn Learning) ACADEMIC PROJECTS

Customer and Market Segmentation for an E-commerce Company using Machine Learning Sept 2019 – Nov 2019

• Segmenting the Customers on the basis of demographic, geographic, psychographic, sociographic variables and also on activity like spending patterns, frequency of visits and behavior when they use the website to help the company target specific group of customers with offers and services by adding a personal touch to it and making it exclusive for them.

• Machine Learning Models Used: Logistic Regression Classifier, Decision Tree Classifier, Support Vector Machine Classifier, Gradient Boosting Classifier, Random Forest Classifier, K-Nearest Neighbors and Voting Classifier.

• Attained an accuracy of 84% with the classifier built in segmenting the customers.

• Used K-means for clustering using K-means++.

Stock Market Prediction and Diversification of Investor Portfolio Feb 2019 – Apr 2019

• Prediction of stock prices of S&P 500 stocks using different modelling techniques.

• Models Used: Linear Regression, Decision Tree Regression, RBF SVR, Linear SVR using normalization and Lasso Regression, Ridge Regression using Standardization.

• Used K-means classification for clustering of stocks using k-means++, with 82% accuracy. Sentiment Analysis Using Twitter API Feb 2019 – Mar 2019

• Performed sentiment analysis to determine the number of nouns, verbs in the tweets through Python text blobs

• Developed a sentiment analysis report based on data collected from tweets to determine polarity and subjectivity of each tweet using the Twitter application programming interface (API) KPI, NLP

• Examined data by splitting tweets into rows and checked for most repeated character or word using Pandas library Wine Quality Prediction Oct 2018 – Dec 2018

• Predicted rating points for wines based on historical reviews from experts, price, and several features.

• Models used: Decision Tree, Random Forest, SVM, Binomial logistic Regression. Hotel Room Booking Service Oct 2018 – Dec 2018

• Developed a Web Interface of the Boutique Hotel using HTML5 forms and backend using MySQL Server, Python CGI and Apache 2.0 Server. AWS, Hadoop

Security System of DNS using Cryptography Jan 2017- Apr 2017

• Published a paper in the IASIR (International Association of Scientific Innovation and Research) Journals (Paper ID

#:IJSWS 17-IJS203

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