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Software Engineer Data

Location:
Austin, Texas, United States
Posted:
January 20, 2019

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Resume:

Lalitha Jetty

ac7827@r.postjobfree.com 312-***-**** https://www.linkedin.com/in/lalithajetty/

PROFILE

* ***** ** ************ ********** in Data Analytics, Project Management, Quality Assurance and all phases of project life cycle such as Business Requirement gathering, Estimations, Designing, Development, Testing and Client interactions. EDUCATION

Master’s in Computer Science (Emphasis - Data Science) GPA 3.5 Dec 2018 University of Missouri - Kansas City MO

Relevant Coursework – Statistical Learning, Regression Analysis, Big Data, Design and Analysis of Algorithms, Hadoop and Spark Programming, Python Programming, Deep Learning, Cloud Computing Bachelor of Technology in Electronics and Telecommunication GPA 3.4 April 2011 JNT University, Kakinada, INDIA

Skill Set

Machine Learning – Regression, Clustering, Classification, Deep Learning, Time Series Analysis, Topic Modelling Statistical Methods – Dimensionality Reduction, Hypothesis Testing, Parametric tests, Feature Engineering Languages & Packages – Python, R, Java, C; (NumPy, SciPy, Scikit-learn, Pandas, PySpark, TensorFlow, Matplotlib, NLTK) RDBMS & NOSQL – SQL, MongoDB

Big Data technologies – Hadoop Streaming, Spark (ML, SQL, Streaming), Hive, Sqoop, Impala, Flume, Cloud Technologies -- AWS ML services, EMR, Athena, S3, Redshift Visualization – Tableau, ggplot-2, Amazon Quick sight Academic projects: GitHub link - https://github.com/LalithaJetty

• Customer Segmentation using Clustering: Customer segmentation is to allow marketers to improve their marketing efforts to various audience subsets in terms of promotional, marketing and product development strategies.

• Predicting the Churn Metrics: Implemented churn prediction using Logistic Regression to know number of customers a company is losing over a period of time and analyze reasons for churning.

• Weather Forecast: Implemented Linear Discriminant Analysis, Quadratic Discriminant Analysis and KNN for weather forecast and validated the models based on accuracy, precision and recall

• Natural Language Processing: Implemented neural network algorithms CNN, RNN and LSTM on text data (Novel) using TensorFlow to guess the next word of the given sentence. PROFESSIONAL EXPERIENCE

Teaching Assistant in University of Missouri Kansas City, USA [Aug 2018 – Dec 2018]

• Assisted the instructor in preparation of course materials, exams, grading assignments, exams, posting of grades etc.

• Provided individual and group assistance to students in the course - Design and Analysis of Algorithms Associate in Cognizant Technology Solutions, Hyderabad India [May 2012 – Sep 2016] Client: Kaiser Hospitals (Healthcare)

• Worked on GRC applications (Governance, Enterprise Risk Management and Compliance)

• End-to-End implementation of healthcare product in logging and tracking the anti-compliance issues

• Collaborated with cross-functional teams to analyze, design, and develop business solutions Client: AVON (Retail)

• Performed data analysis and made actionable recommendations to internal customers and the business team

• Created and analyzed reports, Predictive Models and interpreted intuitive strategic decision Client: Western Union (Banking and Finance)

• Wrangled data from multiple sources to create integrated views that can be used to drive decision making

• Redesigned online transaction processing framework and developed algorithms to improve performance by 30% Software Engineer Trainee in Honeywell Technology Solutions, Hyderabad India [May 2011 – Jul 2011]

• Trained on object-oriented programming, C and C++. Developed C++ applications in Visual Basic

• Developed Toll Fee Application used for billing at toll gate in C++ and Visual Basic CERTIFICATES AND AWARDS

• Machine Learning certificate by Stanford University from Coursera

• Tableau for Data Science certificate from Udemy

• Inspirational Woman Volunteer Award from Cognizant Outreach (NGO) for the social work



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