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YASHWANTH M.R
# 191, 13th cross, Near Giber tools, Kariyanapalya, St. Thomas town post, Bangalore, Karnataka-560084
Cell : 9731919456 | Email ID : yashwanth8890@gmail.com, yashu_150@yahoo.co.in
Career Objectives
 To involve myself in an organization, with highly motivated, and challenging attitude
to reach scalable achievements in my chosen arena through value creation and
generation at every phase of career.
 Passionate about explaining data science to non-technical business audiences.
Summary
Solutions-oriented Analysis possessing a unique combination of Analytical skills
includes data-science,machine learning, business analysis,big-data technology like
Hadoop and application development experience in top-tier Retail organizations.
Software Skills andTools
 R, Revolution R Enterprise, R-Studio
 MS SQL
 Tableau
 Excel(Advance)
 Hadoop(Base)
 SPSS
 SAS(Base)
 Python(Base)
 Latex
Accomplishments
 Crowned Data-Science toolbox course from Coursera.
 Additional course comprises Getting & Cleaning data, R-Programming, Big-data,
Business Analytics and Machine learning.
 Seldom developed data products using data-science functionality named R-Shiny.
 Won “Best Performance Team Award” for Holiday Season project, 2014.
Educational Qualifications
Master ofScience - Statistics 2011
Manasa Gangotri – Mysore, Karnataka
 With an aggregate of 62.45% from Mysore University.
Bachelor ofScience - Mathematics, Statistics,Computer Science 2009
Yuvaraja’s College – Mysore, Karnataka
 With an aggregate of 72.11% from Mysore University.
Curriculum Vitae
Experience
Sr. Analyst Oct 2013 to Present
Ugam Solutions – Bangalore, Karnataka
 Developed statistical models ensure business oriented decision makings.
 Created strategies to develop and expand existing customers resulted in leveraging
monthly sales.
 Worked as a team member to provide the highest level of service to customers.
 Shared the platform development knowledge with customers making business
recommendations.
 Responsible for implementing all business-building and relationship-building
expectations with uniquely assigned accounts and clients.
 Reorganized the sales floor to meet company demands & directed clients in sales and
inventory-maintenance engagement.
 Analyzed marketing information and translated it into strategic plans.
 Dynamic pricing as a pricing strategy based on algorithms setting highly flexible
prices on current market demands.
 Pricing Intelligence technique offering optimized price enhancing stakes requirement
for retailers using price sensitivity guidelines.
 Incorporating OpenText Content Intelligence & Optimization providing actionable
insights & deployment of low-cost management based on Content Analytical
Solutions.
Jr. Analyst Oct 2011 to Oct 2013
Predictive Analytics Solutions Private Limited – Bangalore, Karnataka
 Build statistical models, predictive models under on-core objectives.
 Proactively involved in development of Web-Portal that signifies Simulations.
 Established market growth strategies resulted in new units generating yearly sales.
 Leveraged skills in cementing healthy client relationship geared towards generating
business and leading workforce.
Roles and Responsibilities
 Collecting, collating and carrying out complex data analysis in support of
management & client requests.
 Involved in reporting statisticalinsights working with colleagues and senior
managers.
 Analyzing raw data, drawing conclusions & developing recommendations.
 Designing, developing and implementing newly established functionalities.
 Advising on the suitability of methodologies and suggesting improvements while
carrying out specified data processing and statistical techniques.
 Monitoring the suitability for government organizations namely Airport Authority of
India, NISTADS, CRRI.
 Applying skills using R-Studio to develop newest methods into the solutions.
 Facilitate meetings with clients to gather and document requirements and explore
potential insights.
 Assist in coordinating business analyst tasks on information technology projects and
provide support to team members.
Core Competencies andAnalytics/Statistical work
 Model specifications includes Simple(Multiple) Linear Regression, Logistic
Regression(Binary, Multinomial) which describes relationships among variables.
 Regression diagnostics that confirms the goodness offit of the model and the
statistical significance of the estimated parameters.
 Differences between group means and their associated procedure using ANOVA.
 Estimating the characteristics of whole population using various Sampling methods.
 Discovering the patterns in large datasets using machine learning techniques such as
CART/CHAID, Neural Networks, K-means Clustering, SVM, Random-Forest &
Association Rules.
 Correlational methods of describing underlying structures driving data values using
Principal Component Analysis(PCA) & Factor Analysis.
 Summarizing a set of data in two-dimensional graphical form assessing
Correspondence Analysis(CA).
 Simulating Predictions/Probabilities based on previously observed values using Time
Series, Forecasting and Predictive Models.
 Enhancing Price Elasticity(for supply/sales)models through recommendations based
on Dynamic-Pricing.
 Further technical experiments using R Studio namely R2HTML, Sweave,
WordCloud, Xtable, Shiny, rCharts & RPubs.
Extra/Co-Curricular Achievements
 Represented Mysore district in Weight lifting.
 Completed two years of training in NCC (National Cadet Corps).
Personal Details
Date of Birth: 07.04.1988
Nationality: Indian
Marital Status: Single
Languages: Kannada, English, Hindi
Declaration
I, Yashwanth M.R hereby declare that all the above details given by me are true to the best of
my Knowledge.
Best Regards,
Yashwanth M.R

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Curriculum Vitae

  • 1. YASHWANTH M.R # 191, 13th cross, Near Giber tools, Kariyanapalya, St. Thomas town post, Bangalore, Karnataka-560084 Cell : 9731919456 | Email ID : yashwanth8890@gmail.com, yashu_150@yahoo.co.in Career Objectives  To involve myself in an organization, with highly motivated, and challenging attitude to reach scalable achievements in my chosen arena through value creation and generation at every phase of career.  Passionate about explaining data science to non-technical business audiences. Summary Solutions-oriented Analysis possessing a unique combination of Analytical skills includes data-science,machine learning, business analysis,big-data technology like Hadoop and application development experience in top-tier Retail organizations. Software Skills andTools  R, Revolution R Enterprise, R-Studio  MS SQL  Tableau  Excel(Advance)  Hadoop(Base)  SPSS  SAS(Base)  Python(Base)  Latex Accomplishments  Crowned Data-Science toolbox course from Coursera.  Additional course comprises Getting & Cleaning data, R-Programming, Big-data, Business Analytics and Machine learning.  Seldom developed data products using data-science functionality named R-Shiny.  Won “Best Performance Team Award” for Holiday Season project, 2014. Educational Qualifications Master ofScience - Statistics 2011 Manasa Gangotri – Mysore, Karnataka  With an aggregate of 62.45% from Mysore University. Bachelor ofScience - Mathematics, Statistics,Computer Science 2009 Yuvaraja’s College – Mysore, Karnataka  With an aggregate of 72.11% from Mysore University. Curriculum Vitae
  • 2. Experience Sr. Analyst Oct 2013 to Present Ugam Solutions – Bangalore, Karnataka  Developed statistical models ensure business oriented decision makings.  Created strategies to develop and expand existing customers resulted in leveraging monthly sales.  Worked as a team member to provide the highest level of service to customers.  Shared the platform development knowledge with customers making business recommendations.  Responsible for implementing all business-building and relationship-building expectations with uniquely assigned accounts and clients.  Reorganized the sales floor to meet company demands & directed clients in sales and inventory-maintenance engagement.  Analyzed marketing information and translated it into strategic plans.  Dynamic pricing as a pricing strategy based on algorithms setting highly flexible prices on current market demands.  Pricing Intelligence technique offering optimized price enhancing stakes requirement for retailers using price sensitivity guidelines.  Incorporating OpenText Content Intelligence & Optimization providing actionable insights & deployment of low-cost management based on Content Analytical Solutions. Jr. Analyst Oct 2011 to Oct 2013 Predictive Analytics Solutions Private Limited – Bangalore, Karnataka  Build statistical models, predictive models under on-core objectives.  Proactively involved in development of Web-Portal that signifies Simulations.  Established market growth strategies resulted in new units generating yearly sales.  Leveraged skills in cementing healthy client relationship geared towards generating business and leading workforce. Roles and Responsibilities  Collecting, collating and carrying out complex data analysis in support of management & client requests.  Involved in reporting statisticalinsights working with colleagues and senior managers.  Analyzing raw data, drawing conclusions & developing recommendations.  Designing, developing and implementing newly established functionalities.  Advising on the suitability of methodologies and suggesting improvements while carrying out specified data processing and statistical techniques.  Monitoring the suitability for government organizations namely Airport Authority of India, NISTADS, CRRI.  Applying skills using R-Studio to develop newest methods into the solutions.  Facilitate meetings with clients to gather and document requirements and explore potential insights.  Assist in coordinating business analyst tasks on information technology projects and provide support to team members.
  • 3. Core Competencies andAnalytics/Statistical work  Model specifications includes Simple(Multiple) Linear Regression, Logistic Regression(Binary, Multinomial) which describes relationships among variables.  Regression diagnostics that confirms the goodness offit of the model and the statistical significance of the estimated parameters.  Differences between group means and their associated procedure using ANOVA.  Estimating the characteristics of whole population using various Sampling methods.  Discovering the patterns in large datasets using machine learning techniques such as CART/CHAID, Neural Networks, K-means Clustering, SVM, Random-Forest & Association Rules.  Correlational methods of describing underlying structures driving data values using Principal Component Analysis(PCA) & Factor Analysis.  Summarizing a set of data in two-dimensional graphical form assessing Correspondence Analysis(CA).  Simulating Predictions/Probabilities based on previously observed values using Time Series, Forecasting and Predictive Models.  Enhancing Price Elasticity(for supply/sales)models through recommendations based on Dynamic-Pricing.  Further technical experiments using R Studio namely R2HTML, Sweave, WordCloud, Xtable, Shiny, rCharts & RPubs. Extra/Co-Curricular Achievements  Represented Mysore district in Weight lifting.  Completed two years of training in NCC (National Cadet Corps). Personal Details Date of Birth: 07.04.1988 Nationality: Indian Marital Status: Single Languages: Kannada, English, Hindi Declaration I, Yashwanth M.R hereby declare that all the above details given by me are true to the best of my Knowledge. Best Regards, Yashwanth M.R