Ayush Dhanuka profile photo 1 on Tal

Ayush Dhanuka

Analytics Manager | Data Science & Al Leader | Driving Business Insights, Data Strategy & Decision Intelligence

Bengaluru

8+ years of work experience

Standard Chartered Bank
Mar 20233 yrs 6 mosPresent

Bengaluru

As a Product Owner in the digital transformation team at Standard Chartered Bank, I led the development and delivery of data-driven reporting modules and analytics capabilities across multiple markets and product lines. Collaborating closely with cross-functional teams including engineering, operations and business stakeholders, I translated complex business requirements into actionable features and ensured seamless product delivery. Key Contributions: • Owned the end-to-end product lifecycle for a trade platform, enabling real-time visibility into transaction volumes and customer behaviour. • Launched reporting modules tailored to new country rollouts and product expansions, ensuring regulatory and operational readiness. • Designed a dynamic user access control system for reports, aligning data visibility with compliance and internal governance standards. • Prioritised backlogs and managed stakeholder expectations across regions, ensuring timely and value-driven releases. This role strengthened my ability to bridge the gap between business needs and technical execution, while reinforcing my passion for building data products that drive strategic decisions.
Standard Chartered Bank
Mar 20212 yrs 1 moMar 2023

Bengaluru, Karnataka, India

As a Machine Learning Manager at Standard Chartered Bank, I led the development and deployment of analytics solutions that supported critical decision-making in areas such as compliance, risk, and client analytics. I was responsible for driving end-to-end machine learning initiatives—from problem framing and data exploration to model development, validation, and deployment in production environments. Key Contributions: • Handled ML projects focused on enhancing compliance monitoring, including anomaly detection, transaction risk scoring, and behaviour-based segmentation. • Collaborated with cross-functional teams (compliance, product, data engineering, and technology) to ensure models aligned with business objectives and regulatory standards. • Delivered scalable, production-ready models using Python, SQL, and cloud-based hyperscaler platforms. • Introduced model monitoring and governance frameworks to ensure transparency, performance tracking, and compliance with internal and external audit requirements. • Mentored a team of data scientists and analysts, fostering a culture of experimentation, collaboration, and continuous learning.
Data Poem, Cognitive ROI
Nov 20204 mosFeb 2021

Bengaluru, Karnataka, India

Sonasoft
Apr 20191 yr 8 mosNov 2020

Bengaluru

As an AI Producer at Sonasoft, I led the end-to-end delivery of advanced AI solutions across diverse industries including energy, retail, manufacturing, and marketing. I worked at the intersection of product management and data science, ensuring that business objectives translated into impactful AI products with measurable outcomes. Key Achievements: • Energy Sector (US Electricity Utility): Delivered a real-time, on-premise AI system for peak load forecasting using Time-Series Forecasting, implemented in Python, with PyTorch, scikit-learn, and Apache Kafka for real-time data streaming. Resulted in $3M annual cost savings. • Marketing Analytics: Built a Cognitive Marketing Attribution tool leveraging Bayesian Modeling to achieve 90%+ accuracy in mapping sales across channels. Stack included Python, spaCy, XGBoost, and DNN with Optimizers like Gurobi integration for efficient MMM plan. • Automotive Manufacturing: Developed an unsupervised ML bot for defect identification & prevention using clustering algorithms and anomaly detection techniques, identifying root causes of rejections. Tools included scikit-learn, Pandas, and Keras for rapid prototyping. • Retail Fraud Detection: Designed an AI model to detect fraudulent invoices using unsupervised anomaly detection with Isolation Forests and Auto-encoders, deployed on AWS with Docker for scalable rollout.
Hotify Inc.
Aug 20188 mosMar 2019

Bengaluru, Karnataka, India

Ayush’s AI Stack

codex
codex
cursor
cursor
deepseek
deepseek
mcp
mcp
openai
openai
ChatGPT
ChatGPT

Education

National Institute of Technology, Tiruchirappalli

Master of Technology - MTech, Data Analytics

National Institute of Technology, Tiruchirappalli

20172 yrs2019

Bachelor of Technology - BTech, Information Technology

institute of engineering and management

20134 yrs2017

Join Ayush and 10k+ other professionals on

Tal Boss

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

Download Tal Boss

Ayush Dhanuka on Tal

Headline

Analytics Manager | Data Science & Al Leader | Driving Business Insights, Data Strategy & Decision Intelligence

About

Data & Analytics Leader with 8+ years’ experience driving AI, data science, and reporting strategies that enable smarter business decisions. I am a data and analytics professional with over 8 years of experience spanning AI development, machine learning management, and analytics product ownership. My expertise lies in bridging business strategy with data-driven decision-making — leading teams that transform complex data into actionable insights and measurable business outcomes. In my current role at Standard Chartered, I lead the Reporting & Analytics module within the Trade Tool, driving data governance, reporting standardization, and end-to-end analytics delivery. Previously, I managed ML initiatives that optimized operational efficiency and built AI-driven solutions delivering multimillion-dollar value. I’m passionate about enabling organizations to leverage analytics as a strategic advantage — from establishing robust data frameworks to scaling predictive intelligence and visualization capabilities. Core Strengths: ▪ Data Strategy & Analytics Leadership ▪ Machine Learning & Statistical Modeling ▪ Data Governance & Compliance ▪ Business Intelligence & Reporting ▪ Cross-Functional Team Management

Location

Bengaluru

AI stack

codex

cursor

deepseek

mcp

openai

ChatGPT

Work experience

Product Owner, Reporting & Analytics at Standard Chartered Bank, Mar 2023 - Present · 3 yrs 6 mos, Bengaluru, As a Product Owner in the digital transformation team at Standard Chartered Bank, I led the development and delivery of data-driven reporting modules and analytics capabilities across multiple markets and product lines. Collaborating closely with cross-functional teams including engineering, operations and business stakeholders, I translated complex business requirements into actionable features and ensured seamless product delivery. Key Contributions: • Owned the end-to-end product lifecycle for a trade platform, enabling real-time visibility into transaction volumes and customer behaviour. • Launched reporting modules tailored to new country rollouts and product expansions, ensuring regulatory and operational readiness. • Designed a dynamic user access control system for reports, aligning data visibility with compliance and internal governance standards. • Prioritised backlogs and managed stakeholder expectations across regions, ensuring timely and value-driven releases. This role strengthened my ability to bridge the gap between business needs and technical execution, while reinforcing my passion for building data products that drive strategic decisions.

Manager, Machine Learning at Standard Chartered Bank, Mar 2021 - Mar 2023 · 2 yrs 1 mo, Bengaluru, Karnataka, India, As a Machine Learning Manager at Standard Chartered Bank, I led the development and deployment of analytics solutions that supported critical decision-making in areas such as compliance, risk, and client analytics. I was responsible for driving end-to-end machine learning initiatives—from problem framing and data exploration to model development, validation, and deployment in production environments. Key Contributions: • Handled ML projects focused on enhancing compliance monitoring, including anomaly detection, transaction risk scoring, and behaviour-based segmentation. • Collaborated with cross-functional teams (compliance, product, data engineering, and technology) to ensure models aligned with business objectives and regulatory standards. • Delivered scalable, production-ready models using Python, SQL, and cloud-based hyperscaler platforms. • Introduced model monitoring and governance frameworks to ensure transparency, performance tracking, and compliance with internal and external audit requirements. • Mentored a team of data scientists and analysts, fostering a culture of experimentation, collaboration, and continuous learning.

Senior AI Scientist at Data Poem, Cognitive ROI, Nov 2020 - Feb 2021 · 4 mos, Bengaluru, Karnataka, India

Data Science Lead & Analytics Consultant at Sonasoft, Apr 2019 - Nov 2020 · 1 yr 8 mos, Bengaluru, As an AI Producer at Sonasoft, I led the end-to-end delivery of advanced AI solutions across diverse industries including energy, retail, manufacturing, and marketing. I worked at the intersection of product management and data science, ensuring that business objectives translated into impactful AI products with measurable outcomes. Key Achievements: • Energy Sector (US Electricity Utility): Delivered a real-time, on-premise AI system for peak load forecasting using Time-Series Forecasting, implemented in Python, with PyTorch, scikit-learn, and Apache Kafka for real-time data streaming. Resulted in $3M annual cost savings. • Marketing Analytics: Built a Cognitive Marketing Attribution tool leveraging Bayesian Modeling to achieve 90%+ accuracy in mapping sales across channels. Stack included Python, spaCy, XGBoost, and DNN with Optimizers like Gurobi integration for efficient MMM plan. • Automotive Manufacturing: Developed an unsupervised ML bot for defect identification & prevention using clustering algorithms and anomaly detection techniques, identifying root causes of rejections. Tools included scikit-learn, Pandas, and Keras for rapid prototyping. • Retail Fraud Detection: Designed an AI model to detect fraudulent invoices using unsupervised anomaly detection with Isolation Forests and Auto-encoders, deployed on AWS with Docker for scalable rollout.

AI Producer at Hotify Inc., Aug 2018 - Mar 2019 · 8 mos, Bengaluru, Karnataka, India

Education

Master of Technology - MTech, Data Analytics, National Institute of Technology, Tiruchirappalli

Bachelor of Technology - BTech, Information Technology, institute of engineering and management