I'll be applying for Masters in Computer Science/Data Science in Spring '17.
My Profile is as follows:
GRE:
Total – 319
Quant – 162
Verbal – 157
AWA – 4.0
TOEFL:
Total – 112
R – 29, L – 30, S – 24, W – 29
Academics:
B.E, Electronics and Telecommunication
Institution – University of Mumbai
Percentage – 64%, Topper’s Aggregate – 72%
Rank in class – Around 15-16 in a class of 75
Area of Interest:
Data Science/Big Data Analytics
Professional Experience:
6 years of Data Warehousing/Reporting experience with Teradata India with expertise in databases Teradata, Oracle, SQL Server and intermediate experience in Hadoop
Major highlights of work experience:
• Provided Teradata expertise to client JP Morgan Chase for 4 years as a Developer and QA Analyst
• Led 4 Benchmarks, worked on 25+ Proof of Concept Assignments in a Technical Pre-sales role to help Teradata win new customers
• Analyzed large datasets and Presented Visualizations to clients using SQL and Reporting Tools
• Loaded and Transformed large sets of Structured(various formats), Semi-structured(JSON, XML) and Unstructured(Image) data into the Teradata database using Standalone Utilities and Teradata Parallel Transport
• Imported and Exported data from different systems to Hadoop file system using QueryGrid and Hive
• Worked closely with Business Analysts in Mapping the Business requirement with the Physical Data Model
• Implemented Change Data Capture(CDC) techniques using Slowly Changing Dimensions, Teradata Temporal
• Involved in Performance Tuning to reduce resource consumption and skew, using DBQL, Explain Plans, Query Re-write, Primary/Secondary/Partition Index analysis and utilizing Teradata Best Practices and processes
• Worked on continuous Research methods to improve efficiency and reduce manual efforts in day-to-day work by creating Reusable tools using Shell/SQL/Python
• Wrote Stored Procedures and UDFs in SQL, C, Python to implement User specific requirements
Miscellaneous:
1. Teradata 14 Technical Specialist Certification
2. Awarded "Teradata ADC Employee of the Quarter" for Q4 2014
3. Scored 70+ out of 100 in all Undergrad Math Courses, among the top 5% in college in terms of Math Scores
4. Was topper in Mathematics in high school and participated in various Math and Science competitive exams at School and College Level
Personal Courses:
1. Completed online course in Coursera in Machine Learning – Stanford, along with all the training assignments in Matlab
2. Currently taking courses in programming, algorithms and data structures using Java, along with revising statistics, probability and linear algebra concepts, as most colleges have placement exams for these subjects
Universities I have shortlisted based on my area of interest:
1. University of Pittsburgh – MS in Information Science – Big Data Analytics Specialization
2. Northeastern University – MS in Data Science(new)/MS in CS
3. University of Southern California – MS in Data Science/MS in CS
4. Indiana University Bloomington – MS in Data Science
5. Boston University – MS in CS – Data Centric Computing Specialization
6. University of Utah – MS in CS – Data Management and Analysis
7. Arizona State University – MS in CS – Big Data Systems Concentration
8. Illinois Institute of Technology – MS in Data Science
9. George Washington University – MS in Data Science
10. Suny Buffalo – MS in CS
With my work experience at Teradata and my Undergrad Math courses, I have strong Mathematics, Coding and Data Wrangling/Cleansing background.
My only concern is my UG percentage. Although it is a first class, I'm not sure how it would fare in comparison with applicants from other universities. I used the Eller College GPA Calculator and it showed my GPA to be 3.6/4.0
I request seniors to evaluate my profile and the choices I have made.
Looking at my overall profile, do you suggest I aim for more ambitious universities or should I apply to more safe universities?
My Profile is as follows:
GRE:
Total – 319
Quant – 162
Verbal – 157
AWA – 4.0
TOEFL:
Total – 112
R – 29, L – 30, S – 24, W – 29
Academics:
B.E, Electronics and Telecommunication
Institution – University of Mumbai
Percentage – 64%, Topper’s Aggregate – 72%
Rank in class – Around 15-16 in a class of 75
Area of Interest:
Data Science/Big Data Analytics
Professional Experience:
6 years of Data Warehousing/Reporting experience with Teradata India with expertise in databases Teradata, Oracle, SQL Server and intermediate experience in Hadoop
Major highlights of work experience:
• Provided Teradata expertise to client JP Morgan Chase for 4 years as a Developer and QA Analyst
• Led 4 Benchmarks, worked on 25+ Proof of Concept Assignments in a Technical Pre-sales role to help Teradata win new customers
• Analyzed large datasets and Presented Visualizations to clients using SQL and Reporting Tools
• Loaded and Transformed large sets of Structured(various formats), Semi-structured(JSON, XML) and Unstructured(Image) data into the Teradata database using Standalone Utilities and Teradata Parallel Transport
• Imported and Exported data from different systems to Hadoop file system using QueryGrid and Hive
• Worked closely with Business Analysts in Mapping the Business requirement with the Physical Data Model
• Implemented Change Data Capture(CDC) techniques using Slowly Changing Dimensions, Teradata Temporal
• Involved in Performance Tuning to reduce resource consumption and skew, using DBQL, Explain Plans, Query Re-write, Primary/Secondary/Partition Index analysis and utilizing Teradata Best Practices and processes
• Worked on continuous Research methods to improve efficiency and reduce manual efforts in day-to-day work by creating Reusable tools using Shell/SQL/Python
• Wrote Stored Procedures and UDFs in SQL, C, Python to implement User specific requirements
Miscellaneous:
1. Teradata 14 Technical Specialist Certification
2. Awarded "Teradata ADC Employee of the Quarter" for Q4 2014
3. Scored 70+ out of 100 in all Undergrad Math Courses, among the top 5% in college in terms of Math Scores
4. Was topper in Mathematics in high school and participated in various Math and Science competitive exams at School and College Level
Personal Courses:
1. Completed online course in Coursera in Machine Learning – Stanford, along with all the training assignments in Matlab
2. Currently taking courses in programming, algorithms and data structures using Java, along with revising statistics, probability and linear algebra concepts, as most colleges have placement exams for these subjects
Universities I have shortlisted based on my area of interest:
1. University of Pittsburgh – MS in Information Science – Big Data Analytics Specialization
2. Northeastern University – MS in Data Science(new)/MS in CS
3. University of Southern California – MS in Data Science/MS in CS
4. Indiana University Bloomington – MS in Data Science
5. Boston University – MS in CS – Data Centric Computing Specialization
6. University of Utah – MS in CS – Data Management and Analysis
7. Arizona State University – MS in CS – Big Data Systems Concentration
8. Illinois Institute of Technology – MS in Data Science
9. George Washington University – MS in Data Science
10. Suny Buffalo – MS in CS
With my work experience at Teradata and my Undergrad Math courses, I have strong Mathematics, Coding and Data Wrangling/Cleansing background.
My only concern is my UG percentage. Although it is a first class, I'm not sure how it would fare in comparison with applicants from other universities. I used the Eller College GPA Calculator and it showed my GPA to be 3.6/4.0
I request seniors to evaluate my profile and the choices I have made.
Looking at my overall profile, do you suggest I aim for more ambitious universities or should I apply to more safe universities?