About
As a Manager at EY with over 8 years of experience in data science, machine learning and data analytics, I lead data-driven projects across various domains such as finance, healthcare, education and retail, to deliver excellence and value to clients.
My core competencies include building complex mathematical models, analyzing data insights and communicating findings in a clear and structured manner. I also excel in developing and maintaining strong relationships with stakeholders and managing the development lifecycle using data mining and analytics tools. Additionally, I have created innovative AI solutions such as ONA, Auto-Structuring, OCR web-services and Lead Management Systems, that enhance productivity, reduce costs and improve customer satisfaction.
My mission is to use my expertise and skills to tackle challenging business problems, generate positive outcomes for both the organization and society, and advance the field of data science and AI. I am also a research scholar and a patent holder, with a keen interest in exploring new trends and technologies in the domain.see more
Experience
Tell us about your professional experience
Education
Where did you complete your basic education from?
Skills
Data Science and AI
Coding / Programming
Microsoft Office Suite
Analytical Skills
Business Analytics
Team Player / Team Management
Accomplishments
Certifications
Certified Information Security Specialist v2.0
Issued : Jan 2012
Information Security & Cyber Forensics Workshop
Issued : Jan 2012
Projects
RL-Quadcopter-2
Completion Date : Dec 2018
* Designed an agent to fly a quadcopter, and then trained it using a reinforcement learning algorithm.
* This project was part of Machine Learning - Advanced Nanodegree program at Udacity
Dog-Breed-Classifier
Completion Date : Oct 2018
* Built an algorithm to identify canine breed given an image of a dog. If given image of a human, the algorithm identifies a resembling dog breed.
* This project was part of Machine Learning - Advanced Nanodegree program at Udacity.
Customer_Segments
Completion Date : Jul 2018
* Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervised analysis.
* This project was part of Machine Learning - Basics Nanodegree program at Udacity.
Finding_Donor
Completion Date : Jul 2018
* Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modified F-scoring metric, and algorithm efficiency.
* This project was part of the Machine Learning - Basic Nanodegree program at Udacity.
Holistic View of Feedbacks!
Completion Date : Jun 2018
Mentored summer trainees to develop business solutions related to Customer experience by applying Machine Learning and Natural Language Processing.
Customer Feedback Analysis - A text classification model
Completion Date : May 2018
Build a machine learning model to classify customer feedback data into Technical or Non-Technical issues. And routed the feedback to the responsible teams accordingly.
Anomaly Detection
Completion Date : Apr 2018
Built an Anomaly detection unsupervised model for the response times of micro-services.
Text-analytics use case
Completion Date : Oct 2017
As part of the Innovation lab, I have worked on the Text-analytics use case to scrape data from Chinese e-commerce websites like Weibo, Taobao, JD, TMALL etc. And created a crawler in python to extract web data from the e-commerce website for sentimental analysis on the chinese texts.
Wavelength - UK & CE FS Technology Newsletter
Completion Date : Aug 2017
Created a dynamic e-newsletter from scratch in the form of magazine with flip-page effects purely using Javascript , Jquey, HTML and CSS.
Successfully launched four editions till now.
The magazine and the effort of the team for building the e-newsletter was nominated for On-the-Spot award.
scrape_twitter
Completion Date : Jul 2017
Wrote a Python script to scrape any twitter page using Selenium and BeautifulSoup (python lib).
Facebook bot
Completion Date : Mar 2017
A basic python Facebook-bot using Selenium that can automate birthday wishes to people/friends via crawling through one's Facebook birthday event page.
Data Miner
Completion Date : Oct 2016
Created a website from scratch to display the data from the I-series DB2 on the UI using node.js.
The UI part was built with HTML, CSS , Javascript and fetched the data from DB2 in the form of JSON using Ajax and Node.js. And the JSON data was displayed dynamically in tabular form on the UI.
CCPA-Cracked Cricket Pitch Analysis
Completion Date : May 2016
Analyzing the effects of evolving cracks on cricket pitch using Image Processing and Machine Learning Algorithm to predict the favourability of pitch towards bowler/batsman under the guidance of Prof. Dr. Anand Gupta.
2048 game!
Completion Date : Jun 2015
Remake of the single player 2048 puzzle game using JavaScript, HTML and CSS.
Online Hospital Management System
Completion Date : Apr 2014
To computerize the maintenance of patient details and billing section in the hospital. This system has been developed to form whole management system including Doctors, Patients, and Bills etc. utilizing HTML and CSS as frontend, PHP and MYSQL as backend.
pro-cricket!
Completion Date : Jan 2014
Developed a computer simulated "Hawk-Eye system in Cricket" (that have been used by host broadcasters in international tournaments) for the MS windows platform using Opengl under the guidance of professor Dr. Anand Gupta (NSIT), The objective of this project was to replicate a real world system on computer. The simulation uses OpenGL event handling mechanism to provide user input through mouse and keyboard.
Publications
CRACKED CRICKET PITCH ANALYSIS (CCPA) USING IMAGE PROCESSING AND MACHINE LEARNING
Publication Date : Jul 2019
Effectiveness of Swarm Intelligence for Handling Fault‐Tolerant Routing Problem in IoT
Publication Date : Dec 2020
Languages
English
Hindi
Sanskrit
About
As a Manager at EY with over 8 years of experience in data science, machine learning and data analytics, I lead data-driven projects across various domains such as finance, healthcare, education and retail, to deliver excellence and value to clients.
My core competencies include building complex mathematical models, analyzing data insights and communicating findings in a clear and structured manner. I also excel in developing and maintaining strong relationships with stakeholders and managing the development lifecycle using data mining and analytics tools. Additionally, I have created innovative AI solutions such as ONA, Auto-Structuring, OCR web-services and Lead Management Systems, that enhance productivity, reduce costs and improve customer satisfaction.
My mission is to use my expertise and skills to tackle challenging business problems, generate positive outcomes for both the organization and society, and advance the field of data science and AI. I am also a research scholar and a patent holder, with a keen interest in exploring new trends and technologies in the domain.see more
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