Apurva Reddy Kistampally

acz71b@r.postjobfree.com

Cell: 623-***-****

Data Scientist Don’t require any sponsorship to work in US.

Data scientist with 5 years of experience in big data, machine learning, and statistics in the industry. Strong background in computer programming language, math and knowledge of various types of databases. Experience in the field of:

•Machine Learning

•Software as a service(SaaS)

•Natural Language Processing(Machine Learning)

•Statistical Methods (PCA, SDE, Regression models)

•Cloud Computing (Hadoop, Spark, Kafka, Samza, Aws/Azure)

•Software Architecture (Design Patterns)

•Data Structures & Algorithms

•Integration & Web services (RESTful)

•Application Programming Interface (API)

•Continuous Integration & Delivery (CI/CD)

EDUCATION

Chaitanya Bharathi Institute of Technology, India

Bachelor of Engineering in Electronics and communication engineering (July2012)

GPA: 3.56/4

SKILLS

Languages: Python (scikit-learn, numpy, scipy, pandas, gensim), R, Java, JavaScript, Octave, Matlab, SQL, Oracle, C, C++.

Tools: Eclipse, Weka, Microsoft Azure Machine Learning, KNIME, RapidMiner, Pylearn2, Tensorflow

Technical Certifications:

Machine Learning, Coursera certified – By Stanford University (License GZ5FMZ2L9JV5)

Java, Infosys certified (4 months of integrated training on Java and JavaScript)

EXPERIENCE

Infosys

Assosciate Data Scientist (June 2012- December 2016)

Client – Walmart

•Designed and implemented email targeting feature in Walmart to send customers appropriate product recommendation

Emails using collaborative filter technique.

•Implemented algorithms to analyze credit card purchases in order to provide specialized recommendation to customers based on their purchase history.

•Responsible for Interest clustering using SVM which clusters all the products that the user is interested in based on the search history and predictive window shopping or cart list.

•Worked with the team to improve spend analytics used in Walmart in order to categorize the items using Document clustering of NLP, Also used lemmatization to avoid redundancy of same products in different categories .

•Worked with the team for Shopycat app to suggest users about buying ideal gifts to their friends during holiday season.

Client – Ricoh

•Implemented semi-supervised anomaly detection as the machine learning method to learn data on good parts (of the devices) only and achieved high identification performance even for unknown types of defects.

•Used association rule learning to keep track of all the goods purchased by a certain customer and offer deals on recommended products for better relationships.

•Worked on Samza to streamline workloads on machines to provide low latency performance where multiple teams work on single machine.

DRDL (Defence Research and Development laboratory)

Software Intern (June-July 2011)

•Trained on range systems used for missile tracking.

•Implemented machine learning (data driven approach) concepts in anomaly detection from telemetry with Kernel Principal Component analysis.

•Designed Model-Data Hybrid Approach for anomaly detection and diagnosis with Dynamic Bayesian Networks with Kalman filter (KF) and Hidden Markov model (HMM) as special cases.

PROJECTS

Email spam classification- Machine Learning

Infosys, 2014

• Using Support Vector Machines developed a spam filter.

Handwritten digit recognition - Machine Learning

Infosys, 2015

• Implemented feed forward neural network to predict handwritten digits.

Automation in Driving – Image Processing

Chaitanya Bharathi Institute of Technology, May 2012

•Designed and implemented autonomous driving car using digital image processing,

•Synthesized images of black road with white lines on which the car is travelling into binary and used to detect how the car has to steer using a camera mounted on the top.

•Used IR sensors to detect obstacles/other vehicles around.

Hospital Billing System – Java

Infosys, 2012

•Designed a patient billing software to maintain a feature rich, practical patient billing in a hospital.

•Implemented Business tier using POJO, Presentation tier using JSP and JSF, Persistence tier using Oracle and JPA.

•Deployed entire system in 20 days starting from the requirements phase.

HONORS & LEADERSHIP

Pinnacle award in Above and Beyond category, Infosys Pvt Ltd.

The Most Regular Student, CBIT-Hyd.

Spot Award for resolving P1 issue, Infosys Pvt Ltd.

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