SAI REETHIKA MUTHINENI

adknsu@r.postjobfree.com

937-***-****

Looking to lace my career in Data Analysis/ Data Science as a Data Analyst/Data Scientist by developing both my technical as well as my personal skills and effectively apply them and earn a job which provides me job satisfaction and self-development.

Technical Skills

Programming languages: JavaScript, Java, SQL, Python, R, C, ML, Deep learning, MATLAB, Tableau.

Mark-up languages: HTML, CSS

Operating Systems: Linux, Windows

Software Applications: Microsoft Office, Anaconda, Visual Studio Code, TensorFlow

Domains Worked: SAP-ABAP (Advanced Business Application Program)

SAP-PP (Production Planning)

SAP-QM (Quality Management)

SAP-LE (Logistics and Execution)

Trained and has good knowledge in:

•Highly skilled in Python 2.x/3.x and R programming for data science and Machine Learning with use of various packages including NumPy, SciPy, Pandas, Scikit-Learn.

•Rapidly evaluated Deep Learning techniques such as Convolutional Neural Networks by using Tensorflow.

•Have good knowledge in Data Visualization and Data Analysis by creating reports/dashboards using Tableau.

•Have good knowledge in applying Machine Learning techniques/algorithms to business problems such as Linear Regression,Logistic Regression, K-Nearest-Neighbors (KNN), Kmeans Clustering.

•Good understanding of AWS (Amazon Web Services).

CERTIFICATION:

•Certificate in Autonomous Systems and Data Science.

EDUCATION:

•Masters in Computer Science, University of Dayton, Dayton, Ohio.

Academic Projects

Data Science Healthcare:

Problem Statement NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) research creates knowledge about and treatments for the most chronic, costly, and consequential diseases. The dataset used in this project is originally from NIDDK. The objective is to predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.

Software : Python and Tensorflow

SPOILED/DAMAGED GOODS DETECTION USING DEEP LEARNING

The focus of this project is to identify the damaged goods in any manufacturing industry that are sent on the conveyer belt after they are manufactured. In our project we are considering cookie images as our dataset. Our Intention is to find out the condition of cookies and the output would be distinguished damaged ones from good ones.

Software: Python and Tableau 10

WORK EXPERIENCE

Techno Functional Consultant June 2017 – June 2019

Worked as Techno Functional Consultant in CGI (Canadian Global Information) for 2 Years in one of the most prestigious projects of CGI called as Solvay amounting most of the revenue to CGI. As a Techno Functional Consultant my role is to analyze the issue and provide support to the users working all around the world technically and functionally.

Domain: SAP

CAMPUS AND COMMUNITY INVOLVMENT

•Poster presented on ‘Green Engineering’ conducted on Faradays memorial celebrations.

•Lab assistant for electronic devices and circuits laboratory. Helped faculty in assigning projects and assigning marks to students during lab sessions for 2016 batch engineering students.

•Volunteer in street cause.

•‘Code freak’ Workshop during Pramana 2k14 on 28th February and 1st March 2014 at GITAM University Hyderabad.

•Attended a two-day workshop on IBNC-CISCO NETWORKING AND DESIGN organized by IIT-DELHI and I-MEDITA LEARNING SOLUTIONS on 10th and 11th February 2015.

•Attended a two-day workshop on NATIONAL ROBOTICS CHAMPIONSHIP conducted by

ARK TECHSOLUTIONS.

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