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Bio

Nikhil Kalyankar has built several enterprise SaaS tools, including Seqwa, Document Finder, Karacks, KSemantics, and Stowree as the solo-founder of Kalyankar Analytics. He won the Infineon AI Challenge in July 2020.

Nikhil Kalyankar served as the Associate Director of the Entrepreneurship Lab at Pace University from 2012 to 2017. He helped raise over $350,000 in grants and gifts. Nikhil is skilled in Java, Python, and Javascript. He has also worked on frameworks like Angular, React, Apache Spark, Tensorflow, Huggingface Transformers, and Spring Boot. His position as the Senior Software Developer at Capgemini India from 2006 to 2009 involved developing an Enterprise Application Software.

Nikhil holds an MBA degree in Entrepreneurial Studies '12 from Lubin School of Business, Pace University, and a Bachelors in Mechanical Engineering '06 from Osmania University, India. In addition, Nikhil has earned over 13 certifications, including Oracle Certified Java Programmer, R Programming, Machine Learning, Regression Models, and Developing Data Products.

12+ Years Experience

KALYANKAR ANALYTICS PRIVATE LIMITED

FOUNDER | 2018 - Present

Seqwa

  • Seqwa is a low-code data analytics software for democratizing data access with natural language querying for data visualization, natural language generation for understanding insights, and automated machine learning for developing data products.
  • Implemented Natural Language Processing (NLP) using Stanford CoreNLP for understanding user data query with dependency parsing, parts-of-speech identification, and named entity recognition
  • Developed capabilities to process data files like CSV, JSON, and Parquet and analyze Relational and NoSQL databases structures (including MySQL, PostgreSQL, MariaDB, Oracle, SAP Hana, Microsoft SQL Server, Amazon Redshift, Snowflake, Apache Cassandra, and Elasticsearch)
  • Designed and implemented preprocessing capabilities with low-code (Users can write SQL column functions to create new data columns)
  • Developed ability to convert natural language query to SQL code with automated query writing
  • Implemented automated joins across tables in Relational Databases and User-defined relationships
  • Built a multi-tenancy database to support multiple organizations, departments, and users with varying authorization to share functionalities and resources.
  • Applied Apache Spark for processing data files and Automated Machine Learning (AutoML)
  • Coded Apache Spark connection with Amazon S3 Data Storage
  • Used Apache Spark for data processing, training machine learning models, saving ML models, and production implementation.
  • Implemented Plotly charts for data visualization
  • Built template-based Natural Language Generation (NLG) capability with SimpleNLG to create explanatory text for data visualizations
  • Designed user interface with Angular framework
  • Worked on AWS cloud resources like Amazon Cognito, AWS Gateway, Amazon EC2, CloudFront, AWS Elasticsearch, Amazon RDS, and several others.
  • Currently, working on a pivot to make Seqwa a rapid prototyping toolkit for developing full-stack applications with low-code

Document Finder

  • A full-stack application for uploading, managing, and a variety of business documents with a semantic search capability for effective content search
  • Won the Infineon AI Challenge 2020 organized by Startup India and Infineon
  • Developed automated document tagging with keyphrase extraction using a novel approach with Apache Spark and Stanford CoreNLP
  • Designed and implemented a user interface to connect to files and folders for scalable implementation of document tagging.
  • Created Knowledge Graph to show connections between documents with common keyphrases for visual analysis

Karacks

  • A low-code visual design editor built for designing websites and web applications with TailwindCSS.
  • Designed with Angular Framework and AWS Amplify to create a serverless application.
  • Developed a data model with GraphQL for Amazon DynamoDB and Cognito Auth for group-based multi-tenancy.
  • Implemented code-generation to build design as plain HTML, Angular, React, and Vue projects.
  • Created tool for automated CSS code transformation from existing to TailwindCSS.

KSemantics

  • A Google sheet add-on for generating explanatory text for the QUERY function
  • Implemented Seqwa's template-based Natural Language Generation (NLG) capability
  • Developed App Script code for accessing Google Sheet information and connecting with AWS Lambda with NLG functionality.
Pace University

Associate Director | 2012 - 2017

  • Successfully raised over $350,000 through grants and gifts
  • Played key role in building Entrepreneurship Lab (eLab) brand
  • Increased eLab enrollment each year since 2012 by 50%
  • Increased event attendance through a comprehensive marketing strategy
  • Helped students commit to the eLab
  • Enhanced eLab profile through new event creation and collaboration activities
  • Overseen a team of 10 highly skilled assistants
  • Research competitive services and facilities to help improve eLab operations
  • Managed three successful web application projects for internal use
Pace University

Graduate Assistant | 2010 - 2011

  • Organizing Annual Pace Pitch Contest
  • Researching for Entrepreneurship Lab activities
  • Market Survey Research to gather student views and ideas regarding Entrepreneurship Lab events and activities
  • Developing and maintaining Faculty web page
  • Creating a comprehensive guide to starting and maintaining a blog with WordPress
  • Photo and video editing
  • Creating marketing materials like brochures, website and flyers
  • Sending marketing communications
  • Creating information database for NY Entrepreneurs
Capgemini Consulting

Associate Consultant | 2006 - 2009

  • Development of HSBC Customer Service Representative (CSR) Web Application
  • Customizing CSR Application across countries like Australia, Asia Pacific, Europe, and Middle East
  • Working across teams for development and defect resolution
  • Adherence to CMM Level 5 for Continuous Process Improvement
  • Communicating with client for business requirements and project cost estimation

Education

Pace University - Lubin School of Business

Master of Business Administration (MBA), Entrepreneurial Studies (2009– 2011)

Venture Analysis, Business Plan Development, Market Research, Financial Planning

Osmania University - Vasavi College of Engineering

Bachelor's degree, Mechanical Engineering (2002 – 2006)

3D Solid Modelling on Unigraphics NX, Structural Analysis with Ansys, Programming for Artificial Intelligence, Programming in C, C++

Techincal Skills

  • FrontendAngular, ReactJS, NextJS, Vue, Angular Material, AWS Javascript SDK, TailwindCSS
  • BackendJava, Python, Spring boot, AWS Java SDK, AWS Python SDK, Flask, Google Apps Script
  • DatabaseMySQL, MariaDB, Microsoft SQL Server, Oracle, PostgreSQL, SAP Hana, Snowflake, Elasticsearch, and Amazon Redshift
  • CloudAmazon EC2, AWS Amplify, AWS Elasticsearch Service, Amazon Relational Database Service (RDS), AWS Lambda, AWS Gateway, Amazon S3, Amazon Cognito, AWS IAM, Amazon Key Management Service (KMS), Amazon Elastic Load Balancing (ELB), Cloudfront, and Route 53
  • Microsoft Office SuiteWord, Excel, PowerPoint
  • DataPandas, Scikit-Learn, Apache Spark, Pyspark, Tensorflow, Pytorch
  • Project Management ToolMicrosoft Project 2013