Haareesh Sathiyaseelan — Director of Engineering
Analytics and Data science leader with 14+ years of experience driving high-impact initiatives across consumer tech, banking, and also consulted fortune 500 clients in technology, gaming, retail, and travel. Proven expertise in building and scaling analytics organizations , delivering ML-driven solutions , and enabling evidence-based decision-making to improve revenue, operational efficiency, and customer experience. Expertise: Machine learning solutions and implementation; Championed company-wide data literacy programs on A/B testing, hypothesis design, KPI interpretation, and experimentation discipline. Led AI initiatives by building assessment and monitoring systems, designing benchmark frameworks, developing automated tests, and implementing standards and KPIs to optimize AI products ethically and reliably. Built frameworks for model governance, responsible AI, and continuous monitoring. Specialties - Predictive Analytics using Machine learning techniques, Prescriptive & Descriptive analytics, Forecasting, Recommender systems, Propensity models, Churn analysis, Campaign management, Pricing algorithm, Design of experiments and Segmentation, AI use case evaluation and benchmarking ML Techniques - – Linear/Logistic Regression, Decision Trees, Boosting algorithms, Regularization techniques, Clustering, Support Vector Machine, Time series forecasting, Apriori algorithm, Markov attribution, Principal Component Analysis, AB testing. AI & Evals Initiatives: AI assessment & monitoring frameworks, AI model performance tracking, drift detection, Data Foundation, Legal & Ethics in modelling, Data & Model Governance Tools: Python, SAS, SQL, Tableau, GCP, Mixpanel, Metabase, Datarobot
Stackforce AI infers this person is a Data Science and Analytics leader in the Consumer Tech and Banking sectors.
Location: Bengaluru, Karnataka, India
Experience: 14 yrs 8 mos
Skills
- Analytics Leader
- Machine Learning
- Ai Eval
- Business Intelligence
- Data Management
- Data Science
- Data Analytics
Career Highlights
- 14+ years in analytics and data science leadership.
- Expert in building high-performing analytics teams.
- Proven track record in driving AI initiatives.
Work Experience
apna
Director, Product analytics & BI (4 yrs)
Danske Bank
Chief Data Scientist (2 yrs 8 mos)
Standard Chartered Bank
Lead - Commercial & Global Banking Analytics (2 yrs 1 mo)
Associate (1 yr 1 mo)
Mu Sigma Inc.
Manager (1 yr 5 mos)
Associate Manager (1 yr 7 mos)
i3 Consulting Private Ltd.
Associate (11 mos)
IMRB International
Summer Internship (2 mos)
Mu Sigma
Business Analyst (11 mos)
Education
Master of Business Administration (MBA) at Bharathidasan Institute of Management Tiruchirapalli
BE at PSG College of Technology
