AKSHAYA SIVAKUMAR KARUNAMBIKA

• Graduate Student - Management Information Systems (MIS)

• Data Scientist Intern - built Machine learning models for image segmentation and body key point detection (pose estimation)

• 5+ years of experience in IT industry involved in ETL development (Extract, Transform, Load) for Enterprise Data warehousing projects with Real-time reporting, Business Intelligence and Data analytics for US-based Finance firms

224-***-****

adg4gl@r.postjobfree.com

https://www.linkedin.com/in

/akshaya-sivakumar-

karunambika/

EDUCATION

• University of Illinois at Chicago —Management Information Systems(MIS)

AUG 2019 – DEC 2020 (EXPECTED) --- Current CGPA 3.88/4.0

• Anna University — Computer Science and Engineering AUG 2016 - MAY 2013 --- Graduated with CGPA 8.34/10 EXPERIENCE

• Work While U Work LLC – Data Scientist Intern

JUN 2020 – AUG 2020

Python, torch, Caffe,Tensorflow,keras,cv2,Anaconda,neural networks, computer vision Implementation of Dance-along App using pose estimation algorithms and Python

• Built ML/AI pose-estimation algorithm prototypes increasing accuracy by 10% using pytorch, neural networks

• Business strategies for different user groups of the application

• University of Illinois at Chicago – Graduate Teaching Assistant JAN 2020 – MAY 2020

Assisted Professor Jonathan Fyfe (Executive Director of IT, IDS dept,UIC) with Business Systems Project course for 50 students

• Mentored students with project planning & management for external clients

• Technical/Management/Marketing Strategy assistance with their projects

• Weekly One-on-one status meetings to evaluate/monitor progress

• Cognizant Technology Solutions, India

• Associate – ETL Developer -- APRIL 2016 - SEP 2018 Informatica Powercenter, Oracle 12C, Unix, Autosys, Agile methodology, ALIP Implementation (Design, Data modeling, development, testing) of Data warehouse system for new set of Investment plans and Integration with existing System.

• Complex feasibility analysis between two systems to support integration

• Optimized performance by 35% by designing reusable Informatica code used in over 50 extracts.

• Oracle stored procedure for processing complex cobalt files with over 200 fields

• Led a team of five for successful delivery of 6 extract files

• Programmer Analyst--OCT 2014 - MAR 2016

Informatica Powercenter, Teradata, Unix, Teradata FSLDM, Microsoft Excel,Maestro, Agile, Scrum, ALIS

Information System development for scheduled & real-time delivery of critical extracted data from centralized data repository to multiple downstream vendors

• Project planning and estimation with client and management

• Worked independently on complex XML target file generation (over 200 fields)

• Real-time data handling using Informatica Web Services

• Reusable Audit workflows that were used across 20 extracts

• Mentored/managed 4 new team members with varied experience levels

• Programmer Analyst Trainee-SEP 2013 - SEP 2014

Informatica Powercenter,Teradata, Unix, Maestro, FSLDM, Erwin, ALIS Centralized Data repository for managing their retirement services data using Teradata Financial services logical data model (FSLDM) and data modeling tool-Erwin.

• Implementing ETL code to load 15 tables by converting data from different KEY SKILLS

Data Analytics-R, Python (Pandas,

NumPy, Matplotlib), Spark

ETL-Informatica Powercenter, SQL,

Teradata, Oracle, SQLServer, Unix

BI/Visualization-Google analytics,

Tableau, Microsoft Excel

Others-C, C++, Java, JavaScript,

Microsoft Office, Angular, HP ALM,

HTML/CSS

Cloud: Amazon Web services

(AWS), Google Cloud Platform (GCP)

Schedulers-Maestro (Tivoli), Autosys

Domain- Insurance-Retirement

Services and Annuities, Healthcare,

and claims

Data warehousing, Machine

Learning, Data Analytics

CERTIFICATIONS

Tableau Analyst

Tableau Data Scientist

Tableau Learning

Machine Learning for Business

Professionals Google cloud

AWS Machine Learning Essential

Training-LinkedIn Learning

Google Analytics

Google Analytics Academy

Cognizant Certified Professional-

CCP in Informatica, General

insurance, SQL, Teradata and Oracle.

Cognizant Certified Student (CCS)

certification

Business English Certificate Higher

(BEC-Higher) examination

source systems through 5 layers of business processing PROJECTS

• Fleet Management System (Web Application)

• Ticket booking app for internal admin activities like trip/driver allocation as well as external user activities like trip browsing, ticket booking, seat selection – Java (Springboot), Rest API, AWS EC2 MySQL DB in Azure Front end – Angular JS, HTML/CSS

• Customer sentiment trend analysis using live twitter data

• Streaming twitter data of two retail companies (Walmart and Costco) to compare the current overall sentiment state wise in US using pyspark

• Live data streaming using TCP sockets and Twitter API Sentiment score using Textblob/NLTK Vader/Regex Tokenizer/ StopWordsRemover / Word2Vec

• Real time graph using matplotlib and FuncAnimation

• PTSD detection using Instagram posts

• Text Analysis – Sentiment Analysis(NLTK VADER),Anchor word algorithm(PyLDAvis),Supervised Corex algorithm

(corextopic),matlablib,wordcloud,ngrams

• Image Analysis – Google Auto ML-Vision API,

Hue/Saturation/Brightness/Facecount, pytesseract

• ML Models-SVC (sklearn.LinearSVC), Logistic Regression

• Results visualizations using Tableau Dashboards and Microsoft Excel

• COVID-19 Data visualizations with Tableau to show active and death count country-wise over a period of 6 months

ACHIEVEMENTS

“Out of box” thinking: Automation

scripts (Unix) featured in Client’s

Innovation Dashboard and Cognizant’s

Innovation Portal and led to soft dollar

savings and overall effort reduction of

25%

Youngest team member to be a part of

Design team with direct client

discussions

Youngest team member to receive

Certificate of Appreciation from my

client for my contributions to the

project.

Awarded promotion 6 months earlier

than other peers in organization

VOLUNTEER ACTIVITIES

INFORMS UIC

COGNIZANT OUTREACH

COGNIZANT GOGREEN

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