Nandita K.

Associate Consultant

Hyderabad, Telangana, India5 yrs 7 mos experience

Key Highlights

Expert in building predictive AI systems.
Strong background in product management and marketing.
Passionate about creating customer-centric experiences.

Stackforce AI infers this person is a Fintech and AI professional with expertise in predictive modeling and product management.

Contact

Skills

Core Skills

Go-to-market StrategyProduct RequirementsProduct DesignProduct Road MappingMachine LearningBig Data Analytics

Other Skills

PythonSQLXGBoostARIMAClustering algorithmsApache PysparkStakeholder ManagementUser InterviewsUser Experience (UX)Competitive AnalysisProject PlanningUnixLinuxApache SparkDeep Learning

About

I believe the best products don't just solve problems, they anticipate them. With a background in building predictive systems at Citibank and currently pursuing my PGP at ISB, exploring both marketing and product management, I'm fascinated by how AI can create more intuitive, customer-centric experiences. What intrigues me: • Creating customer-obsessed product experiences • Leveraging AI to solve real business problems • Using data to drive meaningful decisions When I'm not analyzing user behavior or exploring AI trends, you'll find me watching films from around the globe, because great storytelling, whether in cinema or product design, is about understanding human experiences. Let's connect!✨

Experience

5 yrs 7 mos

Total Experience

2 yrs 9 mos

Average Tenure

1 mo

Current Experience

Auxoai

2 roles

Senior Associate

Apr 2026 – Present · 1 mo

AI Strategist

Jan 2026 – Mar 2026 · 2 mos

Building Damia Echo, a GenAI platform that simulates consumer behavior through AI personas. Think: watch how people decide, not just what they say.
Working across the stack: product specs → pricing strategy → GTM. Shipped 2 enterprise pilots, built the trust playbook for sales, and designed templates that cut client setup time in half.
Early-stage, scrappy, learning a ton.

Go-to-Market StrategyProduct Requirements

Human capitalists

Product Consultant

Nov 2025 – Apr 2026 · 5 mos · Remote

Shaped product roadmap and UX for two AI-powered career tools in close collaboration with both the founders: AI Resume Analyzer (3 modules) and Mock Interview suite
Conducted 11 user interviews to validate assumptions and identify friction points; iterated on flows improving funnel completion rates by ~25%. Worked directly with founders to align product decisions with business goals and GTM timelines.

Product DesignProduct Road Mapping

Citi

Technology Analyst

Jul 2022 – Apr 2025 · 2 yrs 9 mos · Pune, Maharashtra, India · On-site

Built and deployed ML/AI solutions for a $5B+ commercial banking portfolio serving 7K+ RMs across 150 countries.
Predictive Modeling: Developed XGBoost classifier for client prioritization; feature engineering on transactional data, hyperparameter tuning via grid search, 93% accuracy. Built ARIMA time-series model for cash flow forecasting with 30-day prediction window; handled seasonality and trend decomposition.
Recommendation Systems: Designed cross-sell engine using K-means clustering for client segmentation; built propensity scoring layer to rank product recommendations. Engineered 30+ behavioral triggers (recency, frequency, monetary signals) feeding real-time recommendation logic.
Churn Prediction: Built classification model analyzing discontinuation patterns; ran 4 experimental cycles tuning precision-recall thresholds to minimize false positives while maintaining recall on high-value accounts.
Productionization: End-to-end ML lifecycle ownership; EDA, feature pipelines, model validation, stakeholder alignment with AI Model Risk team for governance, deployment to production serving 7K+ users.
Stack: Python, SQL, XGBoost, scikit-learn, ARIMA, clustering algorithms, dashboard integration for model outputs.

Big Data AnalyticsMachine Learning

Wipro limited

Summer Intern

Jun 2021 – Jul 2021 · 1 mo · India

Developed an automated platform for Real Time Log based Anomaly Detection for a connected network using the ELK stack and attention based Bi-Directional LSTM model