Kavitha Parthasarathy

Profile - LinkedIn

Kavitha has around 16 years of working experience in the IT industry with extensive knowledge on product
development, end-to-end consul ng and has worked closely with the leadership teams in growth
opportuni es, project planning, research and development, revenue genera on and demand ful llments
in the client por olio of projects.

She is a cer ed Data Scien st from IABAC associa on and has collaborated with global(US, UK and
Middle East Customers) cross func onal teams in overseeing mul ple AI ini a ves and has managed
technical implementa on programs in Health care, Financial Services, Digital, Oil and Gas industries.
Her responsibili es include providing technical guidelines to the engineering teams on the best prac ces,
standards and recommend cu ng edge tools on AI, leveraging machine learning libraries on python stack,
AWS, GCP, Azure and snow ake cloud pla orms and ML ops tools.

Skills and Competencies

• Program/Strategic Management
• Data Science / AI - Machine Learning
• Data Management/ETL – MSSQL, Postgres, Oracle
• Data Visualiza on - Tableau
• Cloud Pla orms – AWS/Azure/GCP/Snow ake
• Product evangelism
• Resource management
• Research and engineering - POC/MVP
• Genera ve AI

Education

• Advanced Strategic Management Programme (eMDP) – IIM Kozhikode, India 2022-2023 – January 2022 –
February 2023
• Bachelor of Engineering (EEE) , Madras University, India 2000 - 2004

Certifications / Achievements

• IABAC Cer ed Data Scien st – Interna onal Associa on of Business Analy cs Cer ca ons, 2019
• Tableau Social Ambassador(Salesforce) – 2020-22
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 Career History

Wipro LTD, Bangalore, IN Principal Consultant May 2022 – Till date

➢ iHeartMedia – Ad Pla orms

Business Impact:
Read Ad spot informa on from the customer agents/adver ser emails sent to the commercial
inboxes in the iHeart Media pla orm. These a ributes are processed through the pipelines to the
downstream systems for the business con nuity opera ons. The automa on process reduces
around 10-20% of the human e ort and errors and further reduces the cost in the business teams.
Responsibili es:
Collaborated with the stakeholders and the solu on architect in developing AI automa on project to
extract the informa on of the Adver ser emails that would be consumed in the business con nuity
to spot and ight the Ads.
De ned project melines, monitor and track metrics and daily development ac vi es using Agile
methodology and managed the data science team of 10 members
Established e ec ve communica on channels with the client business stakeholders to plan
requirements, iden fy risks and mi ga on, assump ons for be er alignment and transparency of
the program.
Conducted weekly program reviews(WSR) and shared KPIs and metrics in the MBR governance call
with the client CFO and the business team and communicate with the execu ves to discuss the
product outcome and the tradeo s.
Tools: Azure AI Services, AFR/LLM Models, Genera ve AI tools
➢ Project: Apple Non IST Por olio
Responsibili es:
Worked as a project manager to drive several business growth opportuni es across Apple por olio
of projects.
Managed programs with well de ned milestones and facilitated e ec ve communica on channels
with the senior client execu ves to drive the project status mee ngs.
Collaborated with WMG teams for demand ful llments for various technologies including Salesforce,
Automa on, AI/ML pla orms.
Performed monthly opera ons work for the WBS including E orts Approval, invoicing, resource
alloca on, and talent management using Wipro One system
Contributed as a hiring manager and technical L2 panel in evalua ng candidates and scheduled
interviews with the Apple customers.
Performed Year End Appraisal and provided feedback for 20+ resources.

Apprecia on: Wipro Winner's Circle - Unit award for the contribu on in the Account.

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 ➢ Project: Asset Health Care Solu on(AHC) – SABIC Global (Oil and Gas Industry)

Business Impact:
Implementa on of AI advisory decision support system u lizing Machine Learning Models that
provides early predic on in order to reduce failures and avoid unplanned maintenance/plant
shutdowns and enhance the reliability of the equipments and underlying maintenance strategies
around them.
• Collaborated with the project SME to gather the plant requirements and understand the di erent
assets and the sensor data.
• Worked along with the SABIC customers in documen ng the opera ng limits of the assets and PI
sensor data and drove the daily workshops along with the SME.
• Led the data science ini a ves and adapted the maching learning models by analyzing the sensor
historical data.
• Collaborated with other stakeholders in the project in mely delivery and implementa on of the
models.
Tools and Packages
Rapid Miner Enterprise Edi on, Auto Encoder, Clustering Algorithms

NTT Data Services, Senior Data Science July 2020 - March 2022
Bangalore, India Consultant
➢ Project: HealthPlan CTO Team - Pa ent Treatment Op miza on AI engine

Pa ent Treatment Op miza on AI engine predicts the treatment op ons for a member or a
member popula on who are treated for Type 2 Diabetes Mellitus chronic condi on. The model is
built leveraging the US member health care medical claims dataset (APCD) and ensemble model
and op miza on techniques. The treatments suggested are cost-e ec ve, op mized, explainable,
and personalized based on pa ent health parameters. This AI model can be deployed in care
management and clinical support systems in health care organiza ons and can be used by the
payers to create be er health care policies understanding the member popula on's health.

• Collaborated with product managers, technical architects, business stakeholders to drive the
project ini a ves.
• Designed and implemented machine learning models using cu ng edge data science tools and
techniques.
• Implemented explainable AI components to interpret the model predic ons to the business
stakeholders and clients.
• Led research work to build the link predic on model using Neo4j ML algorithms to predict disease
comorbidi es.
• Implemented data sharing strategies on snow ake marketplace and built a health plan data bank
using snow ake data cloud pla orm.
• Managed and coached intermediate and junior data scien sts and guide them to iden fy solu ons
to achieve the business objec ves.
• Network with the data science community and impart knowledge to them.
• Ensured policies and procedures are followed at all levels of ML product development.
Tools and Packages
• Recommender Systems - Matrix factoriza on, Classi ca on algorithms, Logis c Regression, and
Neural network, Associa on Rules, Explainable AI, SHAP, LIME, Python, AWS EC2, Linux, Air ow,
Docker, Neo4j, Graph Algorithms, Postgres SQL, Tableau, Snow ake DataCloud.

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 Senior Consultant – Data November 2019 - April 2020
Infosys Bangalore, India
Science
➢ Project: Credit Risk Analy cs - Loan Default

To help bank lenders provide insights on customer pro les, analyze customer behavior, past
payment history, and a probability score of credit risk. The predic ve model built enables bank users
to make decisions in lending a loan to a retail customer.

• Worked in Infosys Finacle product R &D and analy cs team and involved in building end to end
machine learning pipeline.
• Designed and developed scalable machine learning products on a large dataset and opera onalized
them in produc on environments.
• Created ad-hoc classes for preprocessing data, impu ng values, feature engineering, and encoding
variables.
• Implemented ensemble techniques like Random Forest classi ers and other classi ca on models to
train the model. Op mizing the model for be er accuracy and performance tuning on large datasets
in Hadoop - HIVE environment.
• Implemented MLFlow package in crea ng the experiments and logging the model metrics and
ar facts. Developed REST APIs to enable the model consumable by end clients. Involved in CI/CD,
MLDevOps in deploying the model in Finacle server using Dockeriza on.
Tools and Packages used
Python, SQL, Hadoop, HIVE, Oracle, Randomforest Classi er, Scikit Learn, Pandas, Pickle, Logging,
MLFlow, Docker, GitLab, Google Colab

➢ Project: Customer Segmenta on

To enable bank users to segment customers based on the demographics, transac on behavior,
current product holdings, and account balances.

• Designed the predic ve model based on the business speci ca ons and converted them into
machine learning requirements.
• Worked on crea ng a working prototype and developed a model on large datasets.
• Implemented K-Means clustering algorithm to segment the customers and label the data.
• Implemented scoring scripts to evaluate the new test records and op mized the model for accuracy.
Performance tuning of the python scripts to handle huge data sets from the Hadoop ecosystem.
Implemented best prac ces and provided guidelines to the team and documented the model.
• Created a POC project to build and train the same model in AWS sage maker and Google Cloud
Pla orms. Tools and Packages used
• Python, SQL, HIVE, Oracle, Randomforest Classi er, Scikit Learn, Pandas, Pickle, Logging, MLFlow,
Docker, GitLab, AWS Sagemaker, Google Cloud Pla orm.

➢ Project: Wealth Management Dashboard

• Developed Tableau dashboards to visualize risk-based grouping of clients with por olio composi on
and peer analysis with detailed customer informa on.
• Tools Used: Oracle, SQL, Tableau, Alteryx

AmTrust Financial March 2013 - October 2018

Technical Consultant
Services, Inc. (AFSI)

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 ➢ Project - Extended Warranty Protec on System - GM - Warrantech - Sales Predic on

• Worked with cross-func onal teams such as business users, customer support, rate administrators in
understanding the business requirements.
• Worked on data conversion strategy, automated ETL/data ow process, and data management.
Developed scalable predic ve machine learning models for warranty product sales predic on using
Python and Linear Regression techniques on large data sets.
• Mentored junior team members in providing guidelines in product implementa on in performing
their daily tasks and upda ng the progress to U.S stakeholders and management.
Tools and Packages used
• Python, C#, Scikit Learn, Linear Regression, MSSQLServer, SSIS, Tableau, MSBI and REST API, Hadoop,
Oracle, Tensor ow, Deep Neural Networks, PySpark.

➢ Project: Propensity of buying extended warranty insurance products

• Designed and developed a classi ca on model for predic ng the probability of buying warranty
products.
• Worked on data collec on and prepara on, feature engineering, and performed EDA process on
large datasets.
• Op mized model by ne-tuning hyperparameters and applied cross-valida on techniques to
generalize the model.
• Communicated the model output to US stakeholders and the sales team.
• Managed the team in providing technical guidelines and best prac ces in model development.
Tools and Packages used
• Python, Pyspark, SKlearn, Classi ca on Algorithms, XGBoost, Ensemble models, C#, REST API, Web
services, XML, Javascript frameworks.

➢ Project: Customer Sen ment Analysis - Amtrust Claims Service

• Researched and analyzed customer feedback on Amtrust claims service across social media
networks such as Twi er using NLP techniques and generate a report to the stakeholders and
business users.
Tools and Packages used
Python, NLTK, Word2Vec, Pytorch, TorchText, Tweepy, Sen ment Analyzer, Web scraping, NLP,
Tokenizer Project: KPI and Sales Dashboard Roles and Responsibili es Developed Tableau
dashboards in visualizing KPI, Orders, and Sales reports for stakeholders. Tools: MSSQLServer, Oracle,
Alteryx, SSIS, MSBI, Tableau

Cognizant-Chennai,
India Associate September 2009 - December 2010

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 ➢ Project : Medisys Migratable Pla orm - Senior Enrollment Business
• Involved in data management and built complex SQL queries for applica on development.
Developed reports using SSIS packages. Managed a team and mentored junior team members.
Tools and Packages used
• MSSQLServer, .Net , Webservices.

Verizon , Chennai, India Analyst June 2006 - September 2009

➢ Project : RmiCollect & Email Fax Automa on

• Design and development of web applica on and integra on of subsystems using BizTalk server.
• Developed SQL queries for repor ng and applica on development.
• Co-ordinated with onsite counterparts in the successful delivery of projects.
Tools and Packages used
• Microso BizTalk Server 2006, SQL server 2005, XML services, C#, SQL Server Management Studio,
Microso Business Intelligence Studio, Microso Visual Studio 2005, CM synergy, and Lotus Notes.

July 2004 - June 2006

iSOFT ,Chennai, India Software Engineer

➢ Project - Lorenzo Product

• Design and Development of web applica on using .Net

Tools and Packages used

ASP.NET, C#, ADO.NET, XML Webservices, SQL Server 2000, IIS 5.0, XML, MS Visual SourceSafe, CM
synergy.

Contact

Email: kavitha.parthasarathy@wipro.com
Mobile: +91 9606813887

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