Joy Chatterjee

DCMN

Specialize in developing end-to-end ML infrastructures and solutions to tackle complex marketing challenges.

Work with and integrate advanced platforms such as Codeium, Cursor AI, ChatGPT, replicate.ai, fal.ai and many more to streamline research and accelerate development. Off and on designing scalable pipelines on native and cloud platforms, to activate real-time predictive models, time series forecasting, customer segmentation, ROI optimization and more.

Lead AI Engineer

- Led the project for multivariate time series forecasting of client campaigns, resulting in significant insights in ROI for TV campaigns.
- Implemented LLM-based chatbots for internal teams, using RAG architectures and context
tuning models.

Senior Data Scientist

The Joy of Data

Product Ops & Data Consultant, with over 10 years of experience in data science and three years in product led growth (PLG). Founder of The Joy of Data, based in Berlin.

For data, collaborative ventures with Mercedes, FedEx, Just Mad as well as AI startups such as brighter AI, DCMN focussing primarily into leveraging data for strategic product led growth.

For product, over the past three years, been a data partner for product teams. Responsible for boosting Product Led Growth (PLG) strategies through the application of data science methodologies and data analytics. Expertise domain includes proficiency in product operations, OKRs, KPI driver trees, cohort analysis, user segmentation and much more.

Founder

ShowHeroes Group

Data Scientist (In House Consulting)

brighter AI

Data Scientist

Data Engineer

Mercedes-Benz Research & Development North America, Inc.

Mavrx Inc.

Working on specific project oriented machine vision tasks to aid the system of smart farming techniques developed and monitored by Mavrx Inc.

Machine Learning Engineer

MARKABLE

Rochester Institute of Technology

Work at the lab mainly revolves around projects in the genre of algorithm development. The algorithms are aimed at solving various problems from the image processing and computer vision communities.

Graduate Research Assistant

Peer Advisor Leader

CESC Ltd.

Worked with a team of four to establish and implement control algorithms to modulate the outlet steam efficiency of the central boiler system in a thermal power plant.

Technical Intern

🌱 Founder, The Joy of Data 🎯 Helping Product Teams Grow With Data Science 🚀 Ex-Mercedes | Lead Data Scientist 🎙️ Speaker, Podcasts, YouTube

🚀 Lead AI Research Engineer | Data Science Expert | Product Coach 🚀

With over 11 years in Data Science and AI, I specialize in developing innovative, Data-Driven and AI solutions that elevate Product performance and drive Business Growth. I bring a unique blend of hands-on technical skills and strategic Product insight, supporting teams to leverage Data for informed decision-making and robust growth strategies.

🔹 Key Highlights:
	•	LLMs & Chatbots: Implemented advanced LLM-based chatbots with RAG architectures, boosting team efficiency and workflow.
	•	Predictive Analytics: Achieved a significant ROI increase on client TV campaigns through multivariate time series forecasting.
	•	MLOps & Automation: Created scalable pipelines with Docker & Kubernetes, ensuring seamless deployment and monitoring.
	•	Patented Innovations: Primary author on two patented ML technologies, focusing on object tracking and anonymization.
	•	Cross-functional Leadership: Successfully lead teams and mentor junior Data Scientists, ensuring collaborative, data-driven decision-making.

🔹 Technical Arsenal:
Python 🐍 | SQL 🗃️ | Big Data Ecosystems | Statistical Modelling 📊 | A/B Testing | Cloud Environments (AWS, Azure)

🎙️ Speaking Engagements :
An avid speaker at prestigious Data Science and AI conferences over the past two years, where he shares his insights and experiences to foster a collaborative and informed Data Science community.

Lead Data Scientist

Miuul

In my current role, I am at the forefront of shaping the next generation of Data Science and Machine Learning professionals. As a team leader, I oversee the progress and development of five dedicated Teaching Assistants, ensuring that the quality and efficiency of their instruction are consistently upheld to the highest standards.

A significant part of my work is focused on mentoring trainees, where I facilitate their transformation from budding enthusiasts to skilled practitioners. I provide targeted guidance and advice on complex Data Science projects and Machine Learning implementations, fostering an environment that encourages growth, curiosity, and learning-by-doing.

My role also involves in-depth code reviews to ensure accuracy and effectiveness in script and project executions. By promoting best coding practices and emphasizing the importance of understanding underlying algorithms and models, I help our trainees to develop not just technical proficiency, but also an analytical mindset that is essential in the rapidly evolving field of Data Science and Machine Learning.

Data Science Mentor

Deloitte

As a member of the Data Analytics team within the Audit department at Deloitte, I specialize in developing custom projects and solutions in Python to address the data organization, formatting, and analysis needs that surpass the capabilities of traditional tools like Excel for all audit teams. My role involves handling the data and procedural aspects of journal entry testing on financial accounting statements, streamlining processes, and ensuring accuracy and efficiency in data-driven audit tasks.

Data & Analytics Specialist

Vakko

Managing data systems and writing ETL processes with SQL to gather data from FormulaDB to create
relational databases on AWS Redshift. Analyzing data to derive business insights and strategies related to
Vakko's data, and utilizing AWS Cloud Services. Implementing projects such as Rule-Based Customer
Segmentation, CLTV (Customer Lifetime Value) Prediction, RFM Analysis, Recommendation Systems,
Churn Prediction, Demand Forecasting, and Price Prediction using machine learning for the retail business.

Conectys

Categorizing and tagging content to create a training dataset of an Artificial Intelligence that moderates their content in accordance with the community standards of a major social media platform.

Data Specialist

DenizBank

-Direct Debit System: Making collections within the scope of the Direct Debit System through DenizBank
-Tax Collections: Under the protocol signed between DenizBank and Republic of Turkey Ministry of Finance, performing the kind of collection of tax collection allowed to Denizbank
-Reconciliation: Ensuring the control of the accounting and payment information of the institutions that make collections through Denizbank by comparing the bank and institution values
-Customer Priority Flows: Responding to complaints and requests from customer satisfaction units through customer priority flow
-Collection Institution Definition: Making parametric definitions of institutions that DenizBank collects with
-Corporate Collections: A cash management service that allows the bills of companies that sell electricity, telephone, cable broadcasting, internet, gas, water, and companies that provide mobile phone subscription services through DenizBank distribution channels
-ServiceDesk Calls: Problems and requests from branches and headquarters units are directed through the central operations department service.

Cash Management Specialist

GPay E-Money & Payment Services

-Designing collective campaigns by establishing cooperation with partner companies.
-Developing marketing strategies based on analysis of customer and transaction data.
-Managing GPay's social media operations.
-Supporting community and event management in fairs and offline events

Business Development Assistant

Akademi İstanbul Sportif Organizasyonlar

Basketball Coach

I am a Data Science Mentor at Miuul, a platform that offers Data Science and Machine Learning bootcamps and courses. In this role, I oversee the progress and development of five dedicated Teaching Assistants and provide targeted guidance and advice to trainees on complex Data Science projects and Machine Learning solutions. I am passionate about sharing my knowledge and skills with the next generation of Data Science and Machine Learning professionals and fostering an environment that encourages curiosity and learning-by-doing. I have a strong mathematical background, as I am currently pursuing a Master's Degree in Artificial Intelligence Engineering at Üsküdar Üniversitesi, after completing a Bachelor's Degree in Mathematics and an Associate's Degree in Computer Programming at İstanbul Üniversitesi. I am also an avid blogger and writer, publishing articles and projects on various topics, techniques, and information related to Data Science and Machine Learning on my Medium blog and on Miuul Notepad.

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Joy Chatterjee

Serdar Tafralı

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