Life Insurance Data

ShaliniMohan

E-mail : **************@*****.***

Mobile : +91-988*******

Profile Summary :

Data Scientist with 7+ years of IT experience executing data driven solutions to increase efficiency, accuracy using predictive modeling,data processing and data mining algorithms to solve challenging business problems to deliver insights and implement action oriented solutions to complex business problems.

Experience Summary

Dedicated IT professional with strong Data Analytics, Machine

Learning,statistics and Business Intelligence Experience.

Ability to use the statistics and machine learning for finding complex data patterns that

drive meaningful impact on the Insurance, Banking and Health domain.

Strong understanding of algorithms,hypothesis testing and machine learning concepts.

Good Working knowledge on Supervised/Unsupervised algorithms,Deep learning like ANN and CNN

Strong knowledge on Regression, classification, Time series forecasting and clustering algorithms

End to End development and testing of the solutions as per the requirements.

Involved in technology research,capability building across newer technologies and tools in machine learning/Deep learning and advanced analytics ecosystem at scale

Conceptual understanding of Hadoop and its components like Mapreduce, HDFS

Strong hands on experience in leveraging machine learning models and data mining to uncover insights and drive 1M data.

Strong hands on experience on Middleware tools like TIBCO BW,EMS and ADMIN.

Excellent hands-on experience in Python Data Frames, SQL, Unix Shell Scripting, PL/SQL, XML, JSON, Java and Restful Web Services.

Ability to contribute multiple projects/demands simultaneously and work in a fast-paced,collaborative environment.

Good command over python, R and SQL

Certified Data Scientist by AnalytixLabs.

Strong analytical, problem solving, issue resolution, interpersonal and facilitation skills.

Core Competencies

Python Libraries : Numpy,Pandas,scikit-Learn,Scipy,NLTK,Gensim,Spacy,

Keras,Matplotlib,Seaborn,statsmodels,

Algorithms : Linear Regression,Logistic Resgression,Random forest, XGBoost, KNN, Kmeans,

DBScan,NaiveBayes.

Analytics Packges : R,Matlab

Programming Languages : Python,SQL, XML, JSON

Database : Oracle,Sql

Middleware: TIBCO BW,EMS and ADMIN.

DevOps : GIT, JIRA and Flask

Tools : SOAP UI, Eclipse, SQL Developer,

Putty, WinSCP,Jupyter Notebook,Spyder and Google colab

Data Visualization Tools : Ggplot,Pyplot,Tableau

Experience

Allstate Solutions Private limited – Bangalore (May 2017 – Till now)

Job Title: Senior Consultant - Data Modeling and Analytics Projects

Market Segmentation(Auto Insurance)

Key Deliverables

Worked on a sample of 50k sample results, to classify people into clusters

Market segment of customers is highly adverse ad tends to be “Heavy users” of insurance.

Performed Feature selection by PCA and data standarisation.

Identify missing,invalid values and outliers,analyze and categorize variables of datasets

Silhouette Coefficient,Elbow Analysis are the evaluation metric.

Tools/Libraries Used: Jupyter notebook,Python,scikit Learn,pandas,numpy,matplotlib,seaborn,scipy.

Methodology : KMeans Clustering,DBScan.

Premium Models(Life Insurance)

Key Deliverables

Gather business requirements by conducting meetings with client and business users and understand system landscape to develop, enhance business operations and functions.

Created the supervised machine learning models with python and scikit learn to predict the premiums of 1M customers would pay at different lines of business.

Used Xgboost algorithm to help to predict the premiums of all customers.

Created customized reports in Tableau for data visualization.

Created stories told by the data and presents them to other data scientist

Tools/Libraries Used: Jupyter notebook,Python,scikit Learn,pandas,numpy,matplotlib,seaborn,scipy.

Methodology : Regression using XGBoost.

Cross-sell Models(Life Insurance)

Key Deliverables

To target existing customers who would buy a policy from a different line of business.This

helps to increase the sales.

Features in dataset were 100 which had demographic, credit and auto related details,

house details like marketing and policy related details.

Performed root cause analysis and identified the bottle necks for better accuracy.

Preparing charts in Tableau for decision support for organizational reporting,better

visualization and rooting an enhanced business understanding.

Technologies/Libraries Used: Jupyter notebook,Spyder,Python,Pandas,Numpy and scikit learn.

Methodology : Classification using RandomForestClassifier.

Kaggle projects : Bank Marketing On Term Deposit,Titanic,Predicting cost of used cars.

TATA Consultancy Services – Chennai (Mar 2013 - Apr 2017)

Job Title: Tibco Developer

Fusion : Common Integration Layer Services

CIL Services is an application for Citicustomers used for mobile application provided to 3rd party partners.

The functionalities that are available in desktop will be implemented in mobile using Webservices, JMS and Tibco BW.

Key Deliverables

Quickly gained domain knowledge and application knowledge to get myself involved in the Fusion project.

Involved and worked hard to have good deliverables in our project

Involved in Implementation of additional feature in existing application

Mostly worked on design, construction and testing.

Provation Medical

ProVation MD is the only procedure documentation and coding system that improves medical records and enhances communication, care coordination and patient satisfaction.

ProVation MD captures robust procedure detail, ensuring more accurate and complete documentation that supports patient care improvement.

ESBAPI service will get the Patient details from Provation App and verify the data is valid against backend such as UAuth,Iovation,CardsESB(FDR) and return the elements

Key Deliverables

Ability to Interact with Clients on various Project scope and implementation processes.

Written Test cases, Test scenarios, expected results and logged defects using Defect tracking tool.

Involved in Implementation of additional feature in existing application

Involved and worked hard to have good deliverables in our project

COURSE

INSTITUTION

YEAR OF PASSING

PERCENTAGE

Academic Profile

B.E(CSE)

R.M.D Engineering College,Thiruvallur

May 2012

89

12th

Bharathidhasanar Matric.Hr.Sec.School, Vellore

April 2008

95

10th

Bharathidhasanar Matric.Hr.Sec.School, Vellore

April 2006

91

Declaration

I, Shalini Mohan hereby declare that all the details furnished above are true to the best of my knowledge.

(Shalini Mohan)

Contact this candidate