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Subhashini Sharma Tripathi

Trainer | Bangalore | [email protected]
Training Provider details

Subhashini Sharma Tripathi

Trainer | Bangalore

About Subhashini S Tripathi

Subhashini is an Analytics professional with a focus on Learning, Training and Development (online and in-person) and Consulting projects especially related to establishing Analytics practice in SBUs (of large corporations), SMEs , NGOs and Start-ups. She has been working for the last 14 years .

She is currently commissioned to write  books on Basic and Advanced Analytics using SAS and R by the international technology book publisher Apress (http://www.apress.com/ )

Subhashini is very bullish about the use of analytics and data to make optimal decisions for business . She is based out of Bangalore and work on in-person online consulting assignments / trainings .She has attended the CompTIA Certified Technical Trainer programme to make my content and delivery as per the industry best practise in training.

Corporate trainings :- Subhashini  has trained and done projects at Genpact, PA Consulting, Credit Suisse,  VisualIQ, Mindtree, Cisco, Lexmark, BofA, HP, Telenor, Honeywell, Karvy Analytics etc.

View my online courses at

http://jigsawacademy.com/analytics-courses/financial-analytics ;

http://cloudthat.in/course/big-data-analytics-on-hadoop/;

http://jigsawacademy.com/analytics-courses/hr-analytics;

 

Writing, blogging is an area of interest

(http://ibsindia.org/blog/author/subhashini/;http://indiadecisionmanagement.com/blog/http://jigsawacademy.com/The-World-of-Retail-Banking/author)

Areas of core interest and expertise for consulting are

  1. Starting process/ units on Analytics and BI across business, marketing, Risk, HR , Media etc.
    1. Initial understanding of sources of data , data maturity and consistency , volume
    2. Types of Analysis possible – Reporting , Non-predictive, Predictive
  • Setting up the team and infrastructure (recommendation of analytics software)
  1. Deploying initial outputs etc.
  1. BFSI specific analytics related to Loans , Credit cards and Insurance
    1. Segmentation – defend grow exit , RFM etc.
    2. Campaign management and tracking – creating tests and control scenarios, target setting
  • Collections strategy – Time series, Loss prediction, Recovery prediction, optimizing collection channels
  1. Risk portfolio management
  2. Risk –credit /application scoring
  3. Risk policy framing and management- especially w.r.t Basel II and III
  • Fraud prediction strategy – Time series , Loss prediction , Probability of fraud scorecard
  1. HR Analytics
    1. Compensation and benefits analysis
    2. Aattrition scorecard
  • Promoters vs. detractors segmentation on employees
  1. Voice of Employee / Survey analysis
  2. Vendor / training effectiveness – attributing Business/ Dollar value generated by HR Processes
  1. Web Analytics / Retail Analytics
    1. Probability to purchase
    2. Life time value prediction
  2. Big Data analytics
    1. Correlation of text / tweets / Facebook / LinkedIn events to business events
    2. Mining of employee / customer e mails / electronic communications to derive leading indicators to business problems

From 2002 -2011 I have a decade of experience across roles in Retail Finance and Banking. These roles have been across Risk Management (pre-acquisition, post-acquisition and portfolio management), Collections strategy , Fraud Control and Marketing  Analytics in GE Money, Standard Chartered Bank, Tata Motors Finance and Citi GDM .

Course NameCourse DescriptionNo. of Days
Insight Generation / creating an Analytics story boardFor Managers to interpret Analytics outputs2
SAS 1. Basic coding and Analytics with SAS
2. Advanced Analytics with SAS
5
R Programming1. Basic coding and Analytics with R
2. Advanced Analytics with R
5
Excel1. Basic coding and Analytics with Excel
2. Advanced Analytics with Excel
5
BigDataUnderstand the BigData landscape, concepts and Hadoop 2
BigData for Banks and FIUnderstand the BigData landscape, concepts and Hadoop w.r.t. Financial Institutions and Banks2
HR AnalyticsHRMS systems and HR/ People Analytics5
Banking and Financial AnalyticsIntroduction to banking
Risk Analytics
Marketing Analytics
5
Basel 3 AnalyticsBasel 3 adoption in Banks5
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About the Trainer

About Subhashini S Tripathi

Subhashini is an Analytics professional with a focus on Learning, Training and Development (online and in-person) and Consulting projects especially related to establishing Analytics practice in SBUs (of large corporations), SMEs , NGOs and Start-ups. She has been working for the last 14 years .

She is currently commissioned to write  books on Basic and Advanced Analytics using SAS and R by the international technology book publisher Apress (http://www.apress.com/ )

Subhashini is very bullish about the use of analytics and data to make optimal decisions for business . She is based out of Bangalore and work on in-person online consulting assignments / trainings .She has attended the CompTIA Certified Technical Trainer programme to make my content and delivery as per the industry best practise in training.

Corporate trainings :- Subhashini  has trained and done projects at Genpact, PA Consulting, Credit Suisse,  VisualIQ, Mindtree, Cisco, Lexmark, BofA, HP, Telenor, Honeywell, Karvy Analytics etc.

View my online courses at

http://jigsawacademy.com/analytics-courses/financial-analytics ;

http://cloudthat.in/course/big-data-analytics-on-hadoop/;

http://jigsawacademy.com/analytics-courses/hr-analytics;

 

Writing, blogging is an area of interest

(http://ibsindia.org/blog/author/subhashini/;http://indiadecisionmanagement.com/blog/http://jigsawacademy.com/The-World-of-Retail-Banking/author)

Areas of core interest and expertise for consulting are

  1. Starting process/ units on Analytics and BI across business, marketing, Risk, HR , Media etc.
    1. Initial understanding of sources of data , data maturity and consistency , volume
    2. Types of Analysis possible – Reporting , Non-predictive, Predictive
  • Setting up the team and infrastructure (recommendation of analytics software)
  1. Deploying initial outputs etc.
  1. BFSI specific analytics related to Loans , Credit cards and Insurance
    1. Segmentation – defend grow exit , RFM etc.
    2. Campaign management and tracking – creating tests and control scenarios, target setting
  • Collections strategy – Time series, Loss prediction, Recovery prediction, optimizing collection channels
  1. Risk portfolio management
  2. Risk –credit /application scoring
  3. Risk policy framing and management- especially w.r.t Basel II and III
  • Fraud prediction strategy – Time series , Loss prediction , Probability of fraud scorecard
  1. HR Analytics
    1. Compensation and benefits analysis
    2. Aattrition scorecard
  • Promoters vs. detractors segmentation on employees
  1. Voice of Employee / Survey analysis
  2. Vendor / training effectiveness – attributing Business/ Dollar value generated by HR Processes
  1. Web Analytics / Retail Analytics
    1. Probability to purchase
    2. Life time value prediction
  2. Big Data analytics
    1. Correlation of text / tweets / Facebook / LinkedIn events to business events
    2. Mining of employee / customer e mails / electronic communications to derive leading indicators to business problems

From 2002 -2011 I have a decade of experience across roles in Retail Finance and Banking. These roles have been across Risk Management (pre-acquisition, post-acquisition and portfolio management), Collections strategy , Fraud Control and Marketing  Analytics in GE Money, Standard Chartered Bank, Tata Motors Finance and Citi GDM .

+
Course Offerings
Course NameCourse DescriptionNo. of Days
Insight Generation / creating an Analytics story boardFor Managers to interpret Analytics outputs2
SAS 1. Basic coding and Analytics with SAS
2. Advanced Analytics with SAS
5
R Programming1. Basic coding and Analytics with R
2. Advanced Analytics with R
5
Excel1. Basic coding and Analytics with Excel
2. Advanced Analytics with Excel
5
BigDataUnderstand the BigData landscape, concepts and Hadoop 2
BigData for Banks and FIUnderstand the BigData landscape, concepts and Hadoop w.r.t. Financial Institutions and Banks2
HR AnalyticsHRMS systems and HR/ People Analytics5
Banking and Financial AnalyticsIntroduction to banking
Risk Analytics
Marketing Analytics
5
Basel 3 AnalyticsBasel 3 adoption in Banks5
+
Reviews
Review
  • Content
  • Instructor
  • Institute

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5.0
User Rating 0 (0 votes)
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Comments Rating 0 (0 reviews)

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