Reshma Patel
**** ****** ****** ● Oxford, North Carolina 27565
● Cell: 434-***-**** ● Email: ac23yf@r.postjobfree.com
Authorized to work in the US for any employer (Green Card Holder)
Objective
Adaptable Data Analyst skilled in interpreting and analyzing data in a fast-paced environment. Advanced proficiency in SQL, SAS and R as well as experienced in preparing detailed documents and reports while managing complex internal and external data analysis responsibilities.
Education
December 2015 – Present Masters in Computer Science, Virginia Commonwealth University, Richmond, Virginia. Graduated (May 2017)
GPA- 3.40
August 2010 – June 2014 Degree in Bachelors of Engineering (Information Technology) Shree Vaishnav Institute of Technology and Science, Indore, Madhya Pradesh, India.
SVITS has 4th ranking among all Engineering and Technology Colleges of Indore.
GPA- 7.90 (with the Honors Degree)
June 2010 High School Graduate from Pushpa Senior Secondary School,
M.P, India
GPA- 8.04 (with the Honors)
Education Training: Completed 40 days of software training (ASP .NET) from Eloise
Technologies, M.P, India
Skills
Programming Languages: ASP.NET, C++, JAVA, MySQL, R, SAS, MATLAB.
Core Proficiencies
Strong numerical, analytical, and interpretive skills.
Self-motivated, creative thinker, detail-oriented, excellent time management and communication skills.
Strong MS Excel and PowerPoint Skills.
Experience in Analyzing Results and Report generation.
Have knowledge in Statistical Learning Methods and Machine Learning.
Major Projects
Implemented File Transfer Protocol
Duration: 30 days
Team: 2 people
Language: JAVA
Summary: Designed the server class and client class using the socket programming and the reliable TCP service for the transfer of files from client to server as well as from server to client.
Designed Rescue Website
Duration: 150 days
Team: 3 people
Language: asp.NET
Summary: Designed the rescue website using database connectivity, which helps in locating the people and their status like alive, dead or missing at the times of natural hazardous calamities.
Work Experience
Academic Experience (1.5 years in Data Analysis)
Cereal Ranking Project
Duration: 30 days
Team: Individual
Language: SAS
Summary: Prediction of the quality of different varieties of cereals and predicting the mostly used in the defined area. Also, detected the outliers and removed the correlation among the features. Thereby generated the accurate predictive model by applying linear regression as well as using statistical methods and various model selection techniques.
Blood Pressure Prediction
Duration: 30 days
Team: Individual
Language: R
Summary: Selecting the best model by applying cross-validation and using several model selection strategies like forward selection, backward elimination and stepwise regression, without any errors and detecting the outliers using the training data. Then, later on predicting the Blood Pressure of the test data accurately on the selected model.
Cancer Data Project
Duration: 30 days
Team: Individual
Language: MATLAB
Summary: Studied the Fast-Online Learning Algorithm for the Non-Linear Support Vector Machines as well as for the linear support vector machines, using the Polynomial Kernels as well as the Gaussian Kernels and compared the results to check which one has the better accuracy and low error on the Cancer dataset.
Protein Sequence Prediction
Duration: 30 days
Team: 3 people
Tool: WEKA
Summary: Classifying the sequence of Proteins into 4 classes accurately. Our Project classified the protein sequence with the Accuracy of 50.5 and was ranked as the second-best project in the class. We used 5-fold cross-validation method and the LibSVM algorithm using the Gaussian kernel. We also checked the Gaussian kernel with each and every value of cost parameter and shape parameter and selected the model with highest accuracy.
Started working as an Data Analyst in Revlon
Since 31st July 2017 – Present
I hereby declare that the information given above is true to the best of my knowledge & belief.
Date: 08/29/2017 Reshma Patel
Place: Oxford, NC