Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Generic
Nivedha N

Nivedha N

Data Analyst
Bengaluru

Summary

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
Nivedha NData Analyst