Summary
Overview
Work History
Education
Skills
Additional Information
Accomplishments
Awards
Disclaimer
Timeline
Generic
Anitha R

Anitha R

Bangalore

Summary

11+ years of experience helping clients make data driven decisions through advanced predictive modeling, machine learning algorithms, Deep Learning and generative AI looking to work with a young and agile team on solving exciting new problems using cutting edge data science.

Overview

11
11
years of professional experience

Work History

Data science specialist

Accenture
06.2023 - Current
  • Telstra: Delivered the detailed comprehensive analytics Power BI dashboard to see the insights of volume, velocity and performance of the opportunity/deal. Built 20+ prediction model to see the probability of win in the early stage before spending so much effort on the deal.
  • Microsoft: Power BI reports automation, transformation and consolidation. Understand the objective of each report to reduce the FTEs and time reduction. Created Web based APP using Gen AI. Looking for the scope to introduce LLM techniques for text summarization

Data science senior analyst

Accenture
11.2018 - 05.2023
  • Silicon Valley bank: Build any Analytics predictive model (logistic regression) that will allow to identify and prioritize clients with high probability of going over advance in next 60 days
  • Freedom mortgage: Calculate the efficiency score of each lender and this will help Freedom Mortgage in optimal allocation of capital based upon the of lender performance-Used factor analysis and clustering
  • Edcon: Must identify the detractors by analyzing their score using the text data (conversation of agent with customer)- Done in-depth analysis of customer pain points and study of their conversion using sentiment analysis
  • Patron's: Optimizing the mob and demob cost and reduce the manual work- Done all the permutation and combination to optimize the vessel and spread and reduced the cost
  • Walmart: Identify similar stores and check their expenses and calculate the budget for each store- Identify the significant Variables and create cohorts and present them in powerBi and PowerAPPs
  • Facebook: Professional Services Operations - To analysis the performance of the agent and improving the performance matrices with data science and Innovation, basically supporting Facebook advertisers by dealing with issues faced by advertisers
  • Used random forest to select significant features and build linear and logistic models to see influence of factors on KPIs
  • Used model output to refresh the PowerBI dashboard that yields to visualize the performance metrics at weekly level with several metric level filters.

Decision science manager

Jana Bank
04.2018 - 11.2018
  • Rule based algorithm: Created ruled based R script to calculate the waive off for each customer based on the transition and repayment history
  • Credit risk modelling: Build a logistic regression to analyze how the loan amount will be repaid
  • Segmentation: Used K-means clustering to group the customer based on their behavior and common characteristics in order to address them appropriately and to use the different strategies.

Quality Analyst

Ansr source
09.2016 - 04.2018
  • Email classification: To classify suspicious emails from Ansrsource into its respective categories like whether the outgoing information is corporate data/ employee data/ personal data or if it is fraud data - applied NLP and SVM
  • Employee attrition analysis (HR analytics): The project objective was to analyze the employee attrition based on the employee profile and historical data. The second objective is to identify the feature that causes an employee Attrition. The final interest of the project was to retain the valuable employee-logistic regression and ruled based algorithm.

Business analyst/data analyst

Tata Consultancy services
07.2013 - 08.2016
  • Customer analytics: Predict the probability of customers who is more likely to revisit the store next month. Each month store has limited number of vouchers for their customers, and they would like to optimize it- logistic regression
  • Trend analysis: Doing ARIMA (Time series) model with 3 years data available, to forecast sales for six months and provide insights to client for increasing sales
  • · Identify similar groups of stores (FMCG/Grocery stores) and create similar market strategy for each group- Clustering analysis
  • Identifying the association between products: Strategic decision making and Increase sales of Slow moving products for One of the largest retail chain stores of China-Market basket analysis.

Education

Master of Science - Statistics

University of Agricultural Sciences
Bengaluru, India

Skills

    Languages: Python, R-programming, R studio, Basic SAS, SQL, MS Excel, Power BI, Power Query

    Techniques: Predictive modelling/statistical modelling, Machine Learning Algorithms (Clustering, Random Forest, decision tree, KNN, SVM), Deep learning (ANN, RNN), market basket analysis, Text analysis and Natural Language Processing (NLP), Statistical Modeling (Logistic Regression, Linear Regression, Random Forest, Time series), Artificial Intelligence - word cloud, sentiment analysis, credit risk analysis, forecasting and model governance, Azure, AWS and other cloud based platforms

Additional Information

• Data science specialist (Grade: Senior Lead) - Accenture Bangalore India - (2023 – Present)

• Data science senior analyst (Grade: Lead) – Accenture Bangalore India - (2018 – 2023)

• Decision science manager (Grade: Manager) – Jana Bank Bangalore India (2018)

• Quality Analyst – Ansr source Bangalore India (2016 – 2018)

• Business analyst/data analyst – Tata Consultancy services, Bangalore India - (2013 – 2016)

Accomplishments

  • Got promoted to next level.
  • Added value to the organization/made significant business Impact by extending the project deal (USD 400-500K) for the next 6 months after downsized Accenture's operations support overall.
  • Recognized for performance and contribution in savings potential of 25 million MYR from the clients in the Patron's project. (Optimization techniques).
  • Handling the messy data from freedom mortgage and built automated scripts and reduced time from 8hrs to 2 hrs and reduced the human error.

Awards

  • Awarded for “Client value creation”.
  • Won “Core value champion award” for enhancement of the process.
  • Star performer for Outstanding Contribution from TCS.
  • Team spirit award in TCS for continuous efforts for achieving the team goals.
  • Maintained one-year green matrix with zero quality escape, no delay and no rework and appreciated and awarded by clients.
  • 4 spot awards for excellent quality of work for ANSRSource in a year.

Disclaimer

I, Anitha R, hereby declare that the information contained herein is true and correct to the best of my knowledge and belief.

Timeline

Data science specialist

Accenture
06.2023 - Current

Data science senior analyst

Accenture
11.2018 - 05.2023

Decision science manager

Jana Bank
04.2018 - 11.2018

Quality Analyst

Ansr source
09.2016 - 04.2018

Business analyst/data analyst

Tata Consultancy services
07.2013 - 08.2016

Master of Science - Statistics

University of Agricultural Sciences

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