smitha H D

Product Manager

Bengaluru, Karnataka, India19 yrs 9 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 15+ years of experience in Data Science and Analytics.
  • Expert in developing predictive models across multiple industries.
  • Proficient in SAS, Python, and advanced statistical techniques.
Stackforce AI infers this person is a Data Science expert with a focus on HR Analytics and Financial Services.

Contact

Skills

Other Skills

Predictive AnalyticsPredictive ModelingPre-salesStatisticsMarket ResearchData MiningData AnalysisData ModelingHR ANALYTICS/WORFORCE ANALYTICSCUSTOMER ANALYTICSRetention/AcquisitionCredit RiskMarket AnalysisMarket Basket AnalysisForecasting

About

I am a certified data scientist with 15+ years of experience in Data Science/Data Mining and High end Analytics.Have good hands on experience in developing statistical/predictive models in Retail, Banking, Telecom, Utilities, Automobile, Insurance,Responsible AI and HR sector. Good proficiency in using various modules of SAS like Base/Stat/Graph/OLAP,SAS Eminer,SAS Enterprise Guide,SPSS ,SPSS Clementine, Python and R.Worked on major analytical areas like Credit risk (Delinquent and Default Models), Customer Analysis (Segmentation and profiling, Cross sell and up sell), Campaign Analysis, B2B Analysis, Propensity, Response, Employee Attrition and lapsation model, Churn Model, Market Basket Analysis and Sales Forecasting. Tools: Python,SAS, SAS Eminer, SAS EG, SPSS, SPSS Clementine, Minitab, SQL,R Techniques: Logistic Regression, Linear Regression, Cluster Analysis, Discriminant Analysis, Factor Analysis, SEM, Association Rule, ARIMA, RFM,CHAID,CART,Random Forest

Experience

19 yrs 9 mos
Total Experience
3 yrs 11 mos
Average Tenure
4 yrs 11 mos
Current Experience

Accenture

Data Science Manager

Jun 2021Present · 4 yrs 11 mos · Bangalore

Walmart

Lead - Talent Acqisition Analytics

Jun 2019Dec 2020 · 1 yr 6 mos · India

  • Leading Talent Acquisition team. The main focus is to come up with the systematic discovery of meaningful patterns in data to support decision making related to recruitment and onboarding processes, activities, and outcomes. Three primary categories of measurement (efficiency, effectiveness, impact) are leveraged across different types of analysis (Descriptive, Relative, Analytic, and Predictive, Prescriptive, Data Science).

Fidelity investments

3 roles

Lead

Promoted

Sep 2018Jun 2019 · 9 mos · Bangalore

  • Working as a Lead in People Analytics Team,my role is
  • to help with workforce insights at every stage of the
  • Talent life cycle. The major functional focus is on
  • providing sophisticated statistical modeling, data
  • mining/predictive analytics, advanced measurement,
  • and other analytical techniques to gain workforce
  • insights, and support strategic decision making. Also
  • thrives on blazing new paths in employee related
  • research; developing complex modeling that serves
  • business needs, and helping HR maximize the
  • company’s investment in people.

Specialist

Jul 2016Jun 2019 · 2 yrs 11 mos · Bangalore

Senior Analyst

Nov 2012Jul 2016 · 3 yrs 8 mos · Bangalore

  • Working as a Senior Analyst in HR Analytics team from November 2012.Main role is providing solutions to the partner/client on business questions on Workforce Analytics.
  • Roles and Responsibilities Involve:
  • Understanding Business Problem
  • Developing an Approach
  • Coming up with Hypothesis before analyzing
  • Data extraction and Gathering
  • Developing a Predictive Model and validating the same
  • Interpreting the results and helping partner to implement the same

Tata consultancy services

Team Lead

Aug 2007Oct 2012 · 5 yrs 2 mos · Bangalore

  • Was working as a Team Lead in Statistical Analyst and Pre sales support team.
  • Expertise in Preparing RFI/RFP,client presentations and developing POC,Pilots which helps in pitching clients in different domains like Retail,Insurance,Telecom,Banking,Utility Industry etc.
  • Have developed number of predictive models like Delinquency model, loan acceptability model, Propensity model, Churn Model, MBA etc.
  • Roles and Responsibilities
  • Developing statistical/predictive model based on client requirement in order to give solution to their business problem by using different statistical techniques like Logistic Analysis, Linear regression,Chaid Analysis,MBA,Cluster Analysis, Factor Analysis,ARIMA etc.
  • Performing Statistical Analysis of data on different domains like Insurance,Banking,Retail,Marketing,Telecom,Utility to provide business solutions using tool as Base SAS/Stat SAS/SAS Eminer/SAS EG and SPSS,SPSS Clementine etc
  • Developing POC and running Pilots to showcase analytical capability to Clients
  • Developing case studies and demo model based on the already delivered projects for the Business development Purpose
  • Reporting of the performance and policy implication.
  • Documentation of the result
  • Preparing RFP/RFI for the new business
  • Market and financial research for new strategies to be adopted.
  • Develop Business solutions for different business problems
  • Develop Analytical solution and Analytical Roadmap for different clients
  • Providing Training on Statistics and Analytics Model/Techniques/Tools
  • Providing Knowledge sharing session within and outside the team

Covansys

Statistical Analyst

Jan 2006Aug 2007 · 1 yr 7 mos · Bangalore

  • Worked as a Statistical Analyst for 2 years. Expertise in developing statistical model for Banking and Financial Services.
  • Developed Models like Lapsation Model, Do not call model, customer segmentation, Cross sell and upsell model for Banking and Insurance Company

Education

University of Agricultural Sciences,GKVK

Master of Agricultural Economics — Agricultural Economics

Jan 2002Jan 2004

University of Agricultural Sciences

B.Sc.AgMaco — Agricultural Marketing and Cooperation

Jan 1998Jan 2002

Jawahar Navodaya Vidyalaya

Jan 1992Jan 1997

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