Adwait Tiwari

Data Scientist

Bengaluru, Karnataka, India2 yrs 8 mos experience

Key Highlights

Achieved 35% fraud detection improvement in supply chains.
Delivered 87% F1-score in AI-powered medical imaging.
Designed end-to-end AI solutions across multiple industries.

Stackforce AI infers this person is a Data Science and AI Engineering expert with a focus on supply chain and healthcare solutions.

Contact

adwaittiwaari@gmail.com LinkedIn

Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Analytical SkillsAnalyticsBig Data AnalyticsBusiness AnalysisBusiness AnalyticsCross-functional PartnershipsDashboard BuildingData AnalysisData AnalyticsData EngineeringData ModelingData VisualizationData visualizationData-Driven InsightsData-driven Decision Making

About

Data Scientist and ML Engineer with hands-on experience designing, building, and deploying end-to-end AI solutions across retail, finance, supply chain, and healthcare. My work focuses on solving complex business problems with machine learning, deep learning, and large language models (LLMs) — delivering measurable impact such as: 🚀 +35% fraud detection through counterfeit detection models in supply chains. 📊 Improved retail predictions with real-time analytics pipelines and MLOps automation. 🩺 87% F1-score in AI-powered medical imaging with deep learning. I work across the AI lifecycle — from data wrangling and feature engineering to model training, validation, and production deployment. My toolkit includes: Machine Learning & MLOps → Scikit-learn, XGBoost, MLflow, A/B testing, hyperparameter tuning. Deep Learning & NLP → PyTorch, TensorFlow/Keras, Transformers, LLM fine-tuning, multimodal RAG systems. Cloud & Deployment → GCP, AWS, Docker, FastAPI/Flask, Google Cloud Run. Analytics & BI → SQL, Tableau, Streamlit, Statistics. Currently pursuing an Executive Diploma in Machine Learning & AI (IIIT Bangalore, 2025), I aim to grow into senior Data Science / ML Engineering / AI Engineering roles where I can deliver business-focused, production-ready AI systems. Contact : adwaittiwari99@gmail.com

Experience

2 yrs 8 mos

Total Experience

1 yr

Average Tenure

8 mos

Current Experience

Kotak mahindra prime limited

Data Scientist

Oct 2025 – Present · 8 mos · Mumbai, Maharashtra, India

Cheqit

Data Scientist

Jun 2024 – Sep 2025 · 1 yr 3 mos · Pune, Maharashtra, India · Remote

Leveraged Python (Pandas, SQL) to analyze 500k+ ACT code scans, delivering insights that improved targeted investigations by 15%.
Engineered a counterfeit detection system using XGBoost on supply chain and geospatial data, boosting fraud identification by 35%.
Designed and deployed a RAG pipeline combining structured (GST invoices, e-way bills) and unstructured (Hinglish WhatsApp chats) data for auditable, traceable investigations.
Executed large-scale feature engineering and hyperparameter tuning to optimize model performance, reducing prediction latency by 20%.
Fine-tuned Sentence-BERT embeddings for domain-specific Hinglish/textile jargon and stored vectors in Qdrant (hybrid semantic + BM25 search), achieving nDCG@10 = 0.87, Recall@5 = 0.93.
Built chatbot/agentic AI prototypes with LangChain + vector databases, enabling non-technical users to query across supply chain & fraud datasets in natural language.
Enhanced counterfeit detection by engineering 10+ features from logistics/scan data (SQL, Python) in a cross-functional collaboration.
Applied model interpretability techniques (SHAP, LIME) to explain AI decisions to investigators, ensuring stakeholder trust and driving adoption of AI-first strategy
Applied LLM fine-tuning, few-shot/prompt tuning, hallucination detection to optimize accuracy, reliability, and stakeholder trust in AI-driven investigations.

PythonPandasSQLXGBoostFeature EngineeringHyperparameter Tuning+6

Global tech initiative.org

GTI MS SCHOLAR

Sep 2023 – Jun 2024 · 9 mos · Remote

Selected as a Global Tech Initiative MS Scholar (Class of 2024) — an invite-only global program for emerging technology and business leaders.
Rotated through multiple roles — from AI engineer, product manager, and system designer to startup entrepreneur and venture capitalist — solving real-world innovation challenges.
Conducted gap analysis projects using structured analytical frameworks, strengthening strategic thinking, problem-solving, and presentation skills.
Built cross-disciplinary expertise in data science, operations, strategy, and product innovation through curated masterclasses and mentorship.
Became part of a global network of innovators, fostering collaboration, leadership, and a growth mindset.

Impact lab, ylp

INTERN - GGI IMPACT LAB, YOUNG LEADERS PROGAM (YLP)

Apr 2023 – Sep 2023 · 5 mos · Remote

One of a select group invited to participate in a 6-month consulting & policy program led by former McKinsey partners.
Solved and presented consulting/public policy case studies via the Schrödinger AI platform, applying structured problem-solving methods.
Enhanced skills in finance, marketing, operations, and branding, applying them to real-world impact case studies.