Nikhil is an ambitious person with a penchant to work innovatively to deliver solution-based products which improve the lives of people and make companies be more remarkable. Nikhil aims to be a global professional and innovator and is interested in building and implementing systems which are more profitable to the organization using machine learning, business intelligence, and data analytics.
Data engineer and business intelligence (BI) professional with proven skills creating customer value in a solutions business; 3 years' experience building and implementing customer facing, production-ready, scalable solutions to make Xbox and Windows campaign more profitable; Passionate about delivering value to businesses through data science and analytics.
In his spare time, Nikhil has a passion for traveling, skydiving, draining PS5 controller's battery, watching anime and cooking which boast a versatile personality.
Visual Analytics, Cloud Computing For Data Analysis, Big Data Analytics For Competitive Advantage, Database Systems, Knowledge Discover In Database, Algorithm & Data Structure, Computer Vision, Mobile Application Development, Introduction to Natural Language Processing, Intelligent Systems, Computer Communication & Networks.
Discrete Structures, Programming & Problem Solving, Digital Electronics & Logic Design, Data Structure & Algorithm, Computer Graphics, Computer Organization, Database Management System, Data Communication, Microprocessor & Microcontroller, Digital Signal Processing, Theory of Computation, Principles of Programming Languages, Computer Networks, Finance & Management Information System, System Programming and Operating System, Software Engineering, Design & Analysis of Algorithm, Principles of Computer Design, Object Oriented Modeling & Design, Software Architecture, Software Testing & Quality Assurance, Distributed Operating System, Advanced Computer Architecture, Advanced Databases, Information Security.
Basics of Computer architecture, HTML and basics of CSS, C programming, C++ Programming, Classes and Functions, File Management System, Stacks, Queues, Linked List, SQL

Implemented Item-Item & User-User recommendation system. User-User is implemented using Matrix factorization method & Item-Item using cosine similarity.

Implementation of Multiple Linear Regression using PySpark using closed-form expression for the ordinary least squares estimate of the linear regression coefficients computed using summation.

Search for a word (e.g., a query) from a large collection (eg., documents) of an unstructured nature (usually text) & After searching the word, compute the TF-IDF score for the documents to tell which document is most relevant.

Utilizing dataset provided by Microsoft which has unprecedented malware data we intend to predict devices prone to malware attack, using tools, techniques like Python, XLMiner, Excel, Classification, Clustering, Regression.

Implemented classification rules in Java using LERS algorithm on Car evaluation decision system.

Data Engineering, Data Analysis and Automating Data Pipelines on COSMOS Big Data Platform and On-Premise SQL Server Environment using Microsoft’s Analytical Tools and SSIS.
Populating data from On-Premise SQL Server Environment to Big Data and vice versa.

Data Engineering and Automating Data Pipelines on Big Data COSMOS Platform and On-Premise SQL Server Environment using Microsoft Internal Tools and SSIS.

Working on conceptualizing and creating several mobile applications using various tools, techniques and OOPs concept.

Implemented various regression techniques (MLR, LR) in finding users authenticity based on his hand-written signature.

Implemented Neural Network to predict steering angle by means of images taken from a single camera using NumPy.

Implemented neighbor position verification protocol (NPV) for securely discovering and verifying nodes using direct symmetry test (DST) and cross symmetry test (CST) in ad hoc network.