Possessing strong analytical, programming and collaboration skills with a passion for utilizing data to solve complex problems and drive business growth. Seeking to apply expertise in data analysis, data processing and reporting to increase the efficiency and accuracy of data processing leading to growth and success. A growth-driven professional with a track record of delivering business impact through data insights.
Overview
10
10
years of professional experience
6
6
years of post-secondary education
Work History
Senior Software Engineer – Analytics
IBM Pvt Ltd
05.2021 - 11.2023
Working for financial risk team - ANZ
Business Requirement for design and development of Surveillance tool for ongoing monitoring of NetReveal data transfer assurance
Measure Data quality and Data Integrity dimensions for the Key Data Elements at different stages of NetReveal data processing
Provide ongoing monitoring ability by setting up BAU process and reporting through visualisation and dashboards
Support identification of ongoing DQ issues and improve the quality of data through changes to processes and systems
Establishing the Data Lineage from source to NetReveal
Ensuring documentation of test case samples for each source
Programming Language – R, SQL
Data Science Analyst
Walmart
07.2019 - 09.2020
Deriving correlation insights of various critical metrics that are reported on monitoring dashboard
Prediction of events based on correlations for various critical metrics using Logistic Regression, Decision Tree and Random Forest
Handling Imbalanced data
Forecasting the maximum number of database table records for multiple Distribution Centres using Time Series Analysis based on ARIMA
Forecasting the Purge Import records for multiple Distribution Centres using Fourier Series with Auto Arima
To visualise the forecasted database record size for all the distribution centres through R shiny by grouping them based on unique combination of distribution centre, country and table name
Tools Used – Casandra DB, R studio, Excel, R shiny
Programming Language - R
Data Science Trainee
Comcast
01.2018 - 07.2019
Predict Customer Churn for Internet services and television services provided by Comcast using Logistic Regression
Prediction of a new Movie review, whether positive or negative, using Naïve Bayes Classifier
Movie Review analysis (positive or negative) based on public opinion which is generated for a movie on social networking sites, using Word Cloud
Visualising the positive and negative word using word Cloud in R shiny
Exploratory Data Analysis (EDA), on various datasets such as Data mungling or wrangling, Handling of missing values, Handling of outliers, Testing of hypotheses – analysis of significant variables, Univariant and Bivariant analysis, Data visualization techniques, such as ggplot2, histogram, Boxplot, Scatterplot
Preparing Key Operating Procedures, Documents of Understanding and Run Books during Transition
Data Analyst
Microsoft
05.2016 - 12.2017
Analysis of fraudulent accounts generated by the Bing’s algorithms and manual reviews
Shutting down the fraudulent accounts by blacklisting the Domains and URLs
Running Sweeps across the accounts to catch the top fraudsters by Customer names and Agencies
Blocking the topmost keywords spend on the fraudster accounts
Analysis to check http status of ads being returned that are resulting in 4xx errors or Broken clicks and disapprove the ads using Editorial Verification Desktop tool
Tools Used – Microsoft Visual Studio, Microsoft Assure Storage Explorer, Cosmos, Regex tester, Excel
Programming Language – SQL
Wellington Management Company
05.2014 - 10.2017
Creating and scheduling jobs and schedules on Pre-prod and Prod environment
Troubleshooting all TWS job failing and file system issue with help of tickets
Ensuring the daily, weekly and monthly production schedules and tasks are completed accurately and timely without any issues
Planning for outages on production machines by coordinating directly with the market and alternatively schedule jobs to execute in advance or postpone job execution as requested
Have experienced executing many UNIX commands for scheduling, stopping and shutting down of a job or server
Education
Bachelor of Engineering -
PESIT
Bengaluru, India
04.2009 - 01.2013
Pre-University - PCMCs
Vijaya Pre-University College
Bengaluru, India
01.2008 - 01.2009
High School -
Mary Immaculate High School
Bengaluru, India
01.2006 - 01.2007
Skills
R programming
Machine Learning
Predictive Modelling
Data Analytics
SQL
Excel
Accomplishments
Wiley L1 Certified Data Science.
Star of the quarter award in projects.
Promotion and multiple client appreciation for consistently delivering the client’s expectation.
Managed and mentored a team of 10 employees, ensuring that a project was completed by the expected deadline.
Independent contributor in Walmart,Comcast,Microsoft projects.
Timeline
Senior Software Engineer – Analytics
IBM Pvt Ltd
05.2021 - 11.2023
Data Science Analyst
Walmart
07.2019 - 09.2020
Data Science Trainee
Comcast
01.2018 - 07.2019
Data Analyst
Microsoft
05.2016 - 12.2017
Wellington Management Company
05.2014 - 10.2017
Bachelor of Engineering -
PESIT
04.2009 - 01.2013
Pre-University - PCMCs
Vijaya Pre-University College
01.2008 - 01.2009
High School -
Mary Immaculate High School
01.2006 - 01.2007
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