Yash Arora profile photo 1 on Tal

Yash Arora

Machine Learning @ MaxHome || Indian Institute of Technology, Kharagpur

Indore

6+ years of work experience

MaxHome.AI
Sep 20242 yrs 1 moPresent

Wells Fargo
Jul 20222 yrs 3 mosSep 2024

Bengaluru, Karnataka, India

Responsible for development, validation, implementation, and documentation of quantitative models.
Fractal
Sep 20201 yr 11 mosJul 2022

Mumbai, Maharashtra, India

Project : Innovation Ecosystem - Developing an interactive web application, serving as one stop shop for all innovations in the category Work areas: Product Management, UI, UX, Python, Data validation, Data harmonization, Oral Care category • Conducted extensive discovery sessions with clients to understand the business requirements and shortcomings in the current process • Coordinated with a team of 2 UI Designers to develop the UI -UX journey using Figma and built the logics for the application • Developed python script for data harmonisation and validation reducing the overall process time by ~5 hours Project : Data Pull Automation - Automated data extraction from e commerce websites for monthly reports Work areas: Python, Selenium, Beautiful Soup, Analytics, Power BI, E commerce, Baby Care category • Automated data extraction from e commerce websites (Amazon, Walmart etc) for monthly reports using Selenium & Beautiful Soup • Built Power BI dashboards showcasing important trends in sentiment thereby enabling data driven decision making Project : Trend Analysis Automation - Biweekly Power BI reports tracking Covid trends and Category Sales Work areas: PowerBI, Power Automate, Python, Consulting, Nielsen Data, IQVIA Data, C&C category • Built PowerBI reports using Nielsen/IQVIA data and Google Trends data for 5 countries to compare the monthly sales and covid trend • Automated the complete process using Power Automate to send out biweekly reports to 100+ clients, significantly reducing the overall time by ~90% Others Works • Built a product recommender system using e commerce data incorporating various techniques like LightFM, Apriori algorithm • Prepared a newsletter using MailChimp on “Collaborative Filtering” and shared it across with 1800+ Fractalites for learning purposes • Automated the process of PPT creation and mailing using VBA to send training certificates to 500+ Fractalites
TCG Digital
May 20193 mosJul 2019

Greater Kolkata Area

Granted a pre-placement offer as a Data Scientist for constantly exceeding expectations in deliverables Project : Biomedical Image Segmentation • Developed an efficient deep learning model using computer vision to demarcate boundary of WBC in blood's microscopic images • Implemented U-net architecture of CNN along with dynamic learning rate technique to achieve a state of art dice score of 91.7% • Incorporated the algorithm on TCG's analytics platform, MCube and involved in giving end to end demo to the client Project : Wage Optimization and Attrition Prediction • Given US client's hourly wage data, formulated strategy to predict optimal wage, thereby reducing the chance of employee attrition • Employed random forest algorithm, along with feature engineering to achieve 94.1% accuracy on the attrition model
WNS Global Services
May 20183 mosJul 2018

Gurgaon, Haryana, India

• Built an algorithm to classify social media text posts using NLP techniques such as Word Embedding using GloVe, NLTK, Textblob etc • Assembled an algorithm to split non camelcase hash tags, posted on social media, using Maximum Known Matching Scoring Method • Assembled Hashtag Splitting algorithm with text classification, used for Sentimental Analysis for a product launched by company • Tagged images posted on Social Media using YOLO v2 trained on 80 class MS COCO dataset for content cross promotion • Associated with team involved in building an Insurance Chatbot product, using semantic similarity calculated via TF*IDF vectorization • Ensembled algorithms and launched the chatbot on Telegram app by the name WNS DS Bot

Yash’s AI Stack

claude code
claude code
codex
codex
elevenlabs
elevenlabs
langgraph
langgraph
mcp
mcp

Education

Indian Institute of Technology, Kharagpur

Integrated Dual Degree

Indian Institute of Technology, Kharagpur

20155 yrs2020

St. Norbert Higher Secondary School

20096 yrs2015

Join Yash and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Yash Arora on Tal

Headline

Machine Learning @ MaxHome || Indian Institute of Technology, Kharagpur

Location

Indore

AI stack

claude code

codex

elevenlabs

langgraph

mcp

Work experience

Data Scientist at MaxHome.AI, Sep 2024 - Present · 2 yrs 1 mo

Quantitative Analytics Specialist at Wells Fargo, Jul 2022 - Sep 2024 · 2 yrs 3 mos, Bengaluru, Karnataka, India, Responsible for development, validation, implementation, and documentation of quantitative models.

Imagineer at Fractal, Sep 2020 - Jul 2022 · 1 yr 11 mos, Mumbai, Maharashtra, India, Project : Innovation Ecosystem - Developing an interactive web application, serving as one stop shop for all innovations in the category Work areas: Product Management, UI, UX, Python, Data validation, Data harmonization, Oral Care category • Conducted extensive discovery sessions with clients to understand the business requirements and shortcomings in the current process • Coordinated with a team of 2 UI Designers to develop the UI -UX journey using Figma and built the logics for the application • Developed python script for data harmonisation and validation reducing the overall process time by ~5 hours Project : Data Pull Automation - Automated data extraction from e commerce websites for monthly reports Work areas: Python, Selenium, Beautiful Soup, Analytics, Power BI, E commerce, Baby Care category • Automated data extraction from e commerce websites (Amazon, Walmart etc) for monthly reports using Selenium & Beautiful Soup • Built Power BI dashboards showcasing important trends in sentiment thereby enabling data driven decision making Project : Trend Analysis Automation - Biweekly Power BI reports tracking Covid trends and Category Sales Work areas: PowerBI, Power Automate, Python, Consulting, Nielsen Data, IQVIA Data, C&C category • Built PowerBI reports using Nielsen/IQVIA data and Google Trends data for 5 countries to compare the monthly sales and covid trend • Automated the complete process using Power Automate to send out biweekly reports to 100+ clients, significantly reducing the overall time by ~90% Others Works • Built a product recommender system using e commerce data incorporating various techniques like LightFM, Apriori algorithm • Prepared a newsletter using MailChimp on “Collaborative Filtering” and shared it across with 1800+ Fractalites for learning purposes • Automated the process of PPT creation and mailing using VBA to send training certificates to 500+ Fractalites

Data Science Intern at TCG Digital, May 2019 - Jul 2019 · 3 mos, Greater Kolkata Area, Granted a pre-placement offer as a Data Scientist for constantly exceeding expectations in deliverables Project : Biomedical Image Segmentation • Developed an efficient deep learning model using computer vision to demarcate boundary of WBC in blood's microscopic images • Implemented U-net architecture of CNN along with dynamic learning rate technique to achieve a state of art dice score of 91.7% • Incorporated the algorithm on TCG's analytics platform, MCube and involved in giving end to end demo to the client Project : Wage Optimization and Attrition Prediction • Given US client's hourly wage data, formulated strategy to predict optimal wage, thereby reducing the chance of employee attrition • Employed random forest algorithm, along with feature engineering to achieve 94.1% accuracy on the attrition model

Deep Learning Intern at WNS Global Services, May 2018 - Jul 2018 · 3 mos, Gurgaon, Haryana, India, • Built an algorithm to classify social media text posts using NLP techniques such as Word Embedding using GloVe, NLTK, Textblob etc • Assembled an algorithm to split non camelcase hash tags, posted on social media, using Maximum Known Matching Scoring Method • Assembled Hashtag Splitting algorithm with text classification, used for Sentimental Analysis for a product launched by company • Tagged images posted on Social Media using YOLO v2 trained on 80 class MS COCO dataset for content cross promotion • Associated with team involved in building an Insurance Chatbot product, using semantic similarity calculated via TF*IDF vectorization • Ensembled algorithms and launched the chatbot on Telegram app by the name WNS DS Bot

Education

Integrated Dual Degree, Indian Institute of Technology, Kharagpur

St. Norbert Higher Secondary School