Data Engineering

Sai Krishna Bala **********.****@*****.***

Ph: 099********

WORK EXPERIENCE

Edgenetworks(Dec 2014 to Present)

Innovation Team: Data Scientist

● Built skill repository for IT industry using textual data of job descriptions and resumes.

● Built classifier for industries, domains across the verticals from companies data, job descriptions and resumes.

● Building edgeGraph which provided intelligence to the internal products of EdgeNetworks.

● Built a classifier to predict joining probability of a candidate in a company which made the offer.

● Built a classifier to predict the leave probabilities of a candidate and a weekly report is sent to the client.

247-inc.com(Feb 2014 to Dec 2014)

Batch Data Platform:

● Built adhoc search tool over the raw data using elastic search.

● Helped the analytics team in feature extraction, model tuning and deploying them in production.

247-inc.com (March 2013 to Jan 2014)

OE Solutions - Admin Console:

● Automated the deployment feature for Predictive Experience Solutions which is used by service delivery team.

OE Solutions - Framework:

247-inc.com (January 2012 to Feb 2013)

● Involved in the design and development of client side framework of platform.

● Introduced server side storage for Px-OE and migrated client side storage using cassandra.

● Involved in high priority production bugs.

Audio matching algorithms( September 2011 - December 2011)

• Identification on non-audio content in a given audio content. Akamai Technologies Solutions Pvt. Ltd., ( July-2009 to August-2011) Team: Analytics Data Processing:

● Involved in the design and development of the mapreduce framework.

● Helped distribute a standalone system.

● Implemented tools to monitor processing.

ACADEMIC PROJECTS

ME Thesis:

Novel approach for Divide and Conquer K-Nearest Neighbour Classifier and its use in AdaBoost

• Proposed a new classifier based on divide and conquer approach and use that classifier in the adaboost algorithm. Obtained results are reasonably good and are compared with the existing ones and the complexity of building the model is also low.

Course Projects at IISc:

• Data Mining: Video Mining: object recognition in a given video stream

• Topics in Combinatorial Geometry: Survey on Voronoi Diagrams and its applications. COURSES AT IISc

● DATA MINING

● TOPICS IN COMBINATORIAL GEOMETRY

● DISCRETE STRUCTURES

● MODELLING AND SIMULATION

● DESIGN AND ANALYSIS OF ALGORITHMS

● REAL TIME SYSTEMS

● OPERATING SYSTEMS

SKILL SET

● Machine Learning Algorithms

● Probability Distribution

● Languages: JAVA, C, C++ and python

● Mathematical Tools: R, Matlab

● Database Languages: SQL, PL/SQL

● Debugger Tools: GDB and pydb

● Version Control: git, perforce and svn

ACADEMIC QUALIFICATION

Exam/Degree

Board/

University

Specilization

Year of

Completion

Percentage of

Marks

ME

Indian Institute

of Science,

Bangalore

Computer

Science &

Engineering

2009 73.75 B.Tech

Jawaharlal

Nehru

Technological

University

Computer

Science &

Engineering

2007 68.59 Intermediate

Board of

Intermediate

Education, AP

Mathematics,

Physics and

Chemistry

2003 95.9 SSC

Board of

Secondary

Education, AP

General 2001 84.84 ACHIEVEMENTS

● Got 2nd place in 247 HACKATHON 2014.

● Secured AIR 27th rank in GATE-CS 2007.

● State 5th in Intermediate first year.

PERSONAL DETAILS

Address: #701, Tejas Nilayam,

Near Sai Green Apartment,

Hennur Layout.

City: Bangalore

Languages: English, Hindi, Telugu

References: Available on request

Notice Period: 2 months

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