Sriniwas Pandey

About me

I see my self as an inquisitive person and a quick learner. I am adaptable, ebullient, calm, empathetic and prudent. I define myself, "a leader as a team player".

I, currently pursuing doctoral studies in Systems Science, have a Masters and a Bachelors degree in Computer Science. Machine Learning, Algorithm Analysis, Data Analytics and Complex Networks are some of research areas, I am primarily interested. My experiences include working in industry, research and academia. Working in the acedemia, I am enhancing my mentoring and organization skills. I also worked as a research fellow for one of the prestigious institutes in India and a software developer in the IT industry.

Do not hesitate to contact me for more details and further discussions.

"Sriniwas has a wonderful rapport with people of all ages, especially students. He is extremely organized and reliable. He can work independently and is able to follow through to ensure that the job gets done. He is a dependable, mature, and great supporter."
-Dr Sraban Kr Mohanty (Former Supervisor and Professor)

Machine Learning

Data Analysis

Algorithm Analysis

Programming (Python, R, JAVA, C)

Database

SPSS,SAS

Professional Experience

I have experience in Software development, Research and Academia.

Teaching Assistant

SUNY Binghamton

August 2018 - Present

Courses: Computational Tools and Enterprise Systems Engineering Duties include: • Delivering lectures, • Evaluation and grading • Maintaining student records • Assisting students in their academic endeavors
Assistant Professor (Computer Science department)

NPSEI Uttarakhand Technical University India

Dec 2017 - Aug 2018

Courses: Operating Systems, Database management Duties include: • Preparing and delivering lectures • Conducting exams and seminars • Project Supervision • In-charge of Computer Science department laboratories
Research Fellow

IIT Guwahati, India

Jul 2015 - Dec 2016

Worked in the domain of Wikipedia mining and data analytics • Worked as Teaching Assistant for courses Data Mining & Introduction to programming
Research Intern

(C-DAC) (a premier R&D organization of Govt. of India)

Summer 2016

• Application of High-performance computing tools like (openMP, CUDA, MPI) in data mining. • Applied openMP constructs in Wikipedia mining.
Systems Engineer

Infosys Limited, India

Feb 2012 - Jul 2013

• Java application development using J2EE techniques like Java-Spring and Hibernate. • Application development for android platform for an insurance organization

Projects

Mortality Rate Analysis in USA

Sep 2018- Dec 2018

Objective: Form clusters of demographic areas according to the mortality rate and various diseases.

Technology: Principal Component Analysis and Clustering

Outcome: Clusters of counties based on mortality rate and disease that can be used to form policies
Mining interesting patterns in Indian Language Wikipedia's edit histories

July 2015 - December 2016

Objective: Find interesting patterns in Indian languages Wikipedia edition edit histories.

Technology: Hadoop - MapReduce with Java.

Outcome: Identified some interesting editor behavior patterns for Hindi, Marathi, Telugu Wikipedia editions
Scalable Efficient Clustering methods for Large Data

Jul 2013 - Jun 2015

Objective: Adapt the existing algorithms for large data without changing the core functionality and methodology of the algorithms.

Technology: External Memory model, C++, STXXL

Outcome: Designed a clustering algorithm for large datasets.
Shared Near Neighbour Clustering algorithm based on Random walk model

Jul 2013 - Jun 2015

Objective: Design a new effective clustering algorithm with least restrictions on the shape, size, density and type of data.

Technology: Python, Random walk model

Outcome: Developed a new algorithm that combines concept of random walk with shared near neighbor technique.

Publication(s)

Pandey S., Pankaj Kumar Y., Samal M., Sraban Kumar M. (2019) Nearest Neighbor-Based Clustering Algorithm for Large Data Sets. Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore
Pandey S., Samal M., Mohanty S.K. (2020) An SNN-DBSCAN Based Clustering Algorithm for Big Data. In: Pati B., Panigrahi C., Buyya R., Li KC. (eds) Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1082. Springer, Singapore.

Hello, hola, नमस्ते !

I am Sriniwas

Ph.D, Industrial and Systems Engineering

August 2018 - Present

CGPA: 4/4

State University of New York at Binghamton, New York

M.Tech, Computer Science and Engineering

July 2013 - July 2015

CGPA: 4/4

IIIT DM, Jabalpur India

B.Tech, Computer Science and Engineering

July 2007 - June 2011

CGPA: 70/100

Uttarakhand Technical University, India

Teaching Assistant

SUNY Binghamton

August 2018 - Present

Assistant Professor (Computer Science department)

NPSEI Uttarakhand Technical University India

Dec 2017 - Aug 2018

Research Fellow

IIT Guwahati, India

Jul 2015 - Dec 2016

Research Intern

(C-DAC) (a premier R&D organization of Govt. of India)

Summer 2016

Systems Engineer

Infosys Limited, India

Feb 2012 - Jul 2013

Mortality Rate Analysis in USA

Sep 2018- Dec 2018

Mining interesting patterns in Indian Language Wikipedia's edit histories

July 2015 - December 2016

Scalable Efficient Clustering methods for Large Data

Jul 2013 - Jun 2015

Shared Near Neighbour Clustering algorithm based on Random walk model

Jul 2013 - Jun 2015

“The purpose of life is not to be happy. It is to be useful, to be honorable, to be compassionate, to have it make some difference that you have lived and lived well.” ― Ralph Waldo Emerson

Photography

Poetry Writing