AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Product and services | 12+ Yrs Experience in data science | Delivering Multi-Million Dollar AI Solutions across Pharma, Banking & Retail | Strategy Ex-Pharma, Media, Retail, Banking, Manufacturing | EAC-RAG
"Hello, I'm Atul Anand, a dedicated Data Science solutions expert and Machine Learning leader based in Bangalore, India. With close to 13 years of experience, I've worked on diverse projects in pharmaceuticals, media, retail, manufacturing, and more. Some of my notable contributions to these industries are: - * Pfizer's campaign success using personalised genAI. * Developed end to end automated suite of data governance solutions using state of the art algorithms. * Enhanced online retail with Commerce Intelligence's 'BOOST' and 'UPLIFT' features using novel optimisation implementations. * McDonalds food recommender system. Currently @PublicisSapient I am working with leading banks to develop data backed retail banking solutions such as subscriptions, payday prediction and transaction categorisation using agentic genAI. I've excelled in global competitions and have a strong technical skill set, specialising in Python, deep learning, and various domains. As my scientific passion I develop very frugal microscope, telescope and wish to instill scientific curiosity in children. For this reason I founded CuriousKalp Tech which identifies avenues of practical, serious and frugal science. I explore innovative technology solutions and hold patent and publications in the field. I have experience with developing complex algorithmic trading solutions and keep developing data backed investment insights to help investors.
Gandhi Institute of Technological Advancements (GITA), Bhubaneswar
Bachelor of Technology - BTech, Computer Science
January 1, 2008 – January 1, 2012
Holy mission Senior Secondary school
science
January 1, 2005 – January 1, 2007
Publicis.Sapient
Senior Data science associate level 2
June 1, 2018 – Present
Bangalore
Gartner
Machine Learning Engineer
February 1, 2017 – June 1, 2018
Wipro
Machine learning software engineer
June 1, 2016 – February 1, 2017
Bengaluru, Karnataka, India
Infosys
Machine learning at Infosys Information platform
February 1, 2014 – March 1, 2016
Bangaluru
Moolya Software Testing Private Limited
Exploratory software tester
April 1, 2013 – February 1, 2014
Bangalore
Intelligent commerce
April 1, 2020 – November 1, 2021
- Commerce Intelligence is a unique product which suggests most important features in a product pertaining to content, campaigns or media; getting in top 3 products in the space in just 6 months. - As developer of BOOST which works on identification and suggestion of key driving factors for sales and by how much. This has accounted for multiple clients and a pending patent.
culture and tourism enhancement using AI (onsite)
October 1, 2019 – April 1, 2020
- Worked with the government of Abu Dhabi to identify 70 use-cases to boost culture and tourism in Abu Dhabi. - Built and delivered personalized books recommender system to libraries nationwide to boost culture integrated with bot and library kiosks for on demand personalized recommendation.
Shipping cost optimization
March 1, 2019 – October 1, 2020
- Shipping cost optimization across all states implementing both machine learning and linear programming. - As developer of the program which identifies the best shipping costs across all stores nationwide among hundreds of courier choices per order.
recommendation system for order suggestion
June 1, 2018 – December 1, 2018
- Personalized recommendation system for users based on their order behavior, time and other factors, using both factorization and neural network factorization approaches.
Gender Predictor
February 1, 2017 – April 1, 2018
Predicting the gender of the person by their name. - Built on a character level encoded recurrent neural network achieving high accuracy. As part of the product TalentNeuron*.
Named Entity Recognition for job titles
February 1, 2017 – April 1, 2018
For the product TalentNeuron*. Identify entities of interest from a large corpus of job descriptions. This serves as building blocks of the overall product including chatbot. - A question answering system which provides a response to what type of talent you are looking for in your organization with what skill sets/experience/etc.
Agent Recommender system
July 1, 2016 – February 1, 2017
Automated recommendation of agents based on ticket and agent properties. - An NLP based system to identify the right agent for the ticket resolution without manual intervention of an extra person to route the tickets. - It also considers the ability of the agent for the most likely resolution and availability.
Auto slide creator
July 1, 2016 – February 1, 2017
Development of Wipro HOLMES auto slide creator feature. - Creates a powerpoint presentation from just a topic keyword or sentence thrown at the program; Deployed as one of the features of WIPRO HOLMES product.
failure forecasting
March 1, 2015 – March 1, 2016
Model for manufacturing plant failure prediction in advance. - Automated alert generation for maintenance calls before possible plant failure given the sensor data. - An ambitious solution for where cost for a large manufacturing plant is saved 3-4 days in advance based on very sparse and less sensor data and even lesser number of positive instances.
Practical Machine Learning
Coursera Course Certificates
June 24, 2026 – Present
Exploratory Data Analysis
Coursera Course Certificates
June 24, 2026 – Present
Introduction to Tech Entrepreneurship
IIT Bombay
June 24, 2026 – Present
Regression Models
Coursera Course Certificates
June 24, 2026 – Present
Getting and Cleaning Data
Coursera Course Certificates
June 24, 2026 – Present
R Programming
Coursera Course Certificates
June 24, 2026 – Present
Statistical Inference
Coursera Course Certificates
June 24, 2026 – Present
Reproducible Research
Coursera Course Certificates
June 24, 2026 – Present
The Data Scientist’s Toolbox
Coursera Course Certificates
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has worked across various industries (e-commerce, government, HR tech, manufacturing) and types of projects (recommendation systems, NLP, optimization, forecasting), indicating a broad range of interests and adaptability. The experience with Wipro, Infosys, Gartner, and Publicis.Sapient suggests experience in large corporate environments. The target role of 'Data Analyst' aligns well with the candidate's strong background in data-driven problem-solving and machine learning, although their experience leans more towards Data Scientist/ML Engineer roles, which might indicate an overqualification or a need to focus on the analytical aspects of their previous work.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving approach, often leading ideation and development. The diverse project portfolio suggests adaptability and a willingness to tackle varied challenges. However, without specific psychometric or English test scores, a detailed assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration is not possible. The descriptions are clear and concise, suggesting good written communication.