Curriculum Vitae
Kadam Dinkar
Present Address: S.no.35/2 sai nagar ambegaon pathar dhankawadi pune-43
Mobile :+91-808*******/+91-885*******
EMAIL : *********@*****.***
Permanant addresse :At. post Bhandarkavathe Tal. South Solapur District Solapur
Objective:
To pursue a challenging and growth oriented career where my knowledge is useful.
Summary:
Masters of Science with 6 months experience
Educational Qualification:
Degree College University Year Percentage Class
M.Sc (statistics) University of Pune University of Pune 2011 2.25out of 6(GPA) Second
B.Sc (statistics) S.P.College University of Pune 2009 63% First
H.S.C Netaji subhaschandra bos college Maharashtra Board 2005 49% Second
S.S.C Shree basweswar sec.&high.sec vidyalay Maharashtra Board 2003 64% First
Work Experience:
MRCC Education-Solutions Pvt. Ltd.
SME (Mathematics & Statistics)
From : 02 Apr 2012
Current CTC: 1.5 lack
Expected CTC: 2.5 – 3 lack
Notice period : 15 days
Title : Pearson QA & Netvidya
Description: “Pearson QA" is project mainly based on online education. This project gives the many courses online for student and instructor.
Description: “Netvidya" is project mainly designed for educational purpose. This project gives the many courses online for student and Teacher. Main objective of this project is giving the scientific approach for education.
Responsibilities:
• Developing guidelines for authors and for Quality Control.
• Review of the test cases written for unit and integration level.
• Content and functional QA of courses.
• Analyze and write detailed specifications.
Skill set:
Primary Skills: Minitab, SYSTAT, R, SPSS
Technical skills: C, Microsoft Excel, PowerPoint
Statistical skills: Multiple Linear Regression, Logistic Regression, Testing of Hypothesis, Sampling Methods.
Optional subject
1) Data Mining
2) Reliability.
3) Microarray Data Analysis.
4) Statistical Method for quality.
5) Optimization Techniques
MSc Project :
Association Rule Mining Data Mining Techniques for Classification
Using the different methods of classification, we have to construct classification rules based on training data & test them on the basis of test data. This will help deciding whether a person with given attributes, has a good credit or bad credit rate
To suggest the best method for classification of data using different Data Mining Techniques
Extracurricular Activities
A] Participated & one of the volunteer in personality development camp.
Venue: - Mahatma Phule krushi Vidyapeeth, Rahuri.
B] Successfully participated in many college events like G.K. Competition, Sports
etc.
Personal Information:
Name: Kadam Dinkar
D.O.B: 4th, june 1987
Sex: Male
Marital Status: Single
Nationality: Indian
Languages: English, Hindi, Marathi
DECLARATION-:
I hereby declared that all the information mentioned above is true to best of my knowledge.
Place: Signature
Date: (Kadam Dinkar)