Debapratima Acharya

Lead enterprise-scale AI, GenAI, and Agentic-based modernization initiatives across multiple customers; propose tailored solutions and drive revenue. Advise GCC technology consulting teams on adopting GenAI / Agentic AI to modernize legacy applications and accelerate next-level product evolution. Define startup strategy, GCC setup, marketing analysis, and business consulting roadmaps.

Owned end-to-end AI/ML/GenAI program delivery across BFSI, Healthcare, and E-commerce; managed roadmaps, SOWs, budgets, and CXO alignment for global cross-functional teams. Generated $1.2M+ in proposals and delivered 30% infrastructure cost reduction via AWS + Azure modernization with MLflow, LLM, RAG, GenAI, Agentic AI, microservices, and real-time data pipelines.

Designed AWS Data Mapper and DQ Dashboard accelerators productized enterprise-wide, reducing new program onboarding time significantly.

Built the firm's Data & AI practice from inception; defined AI roadmap, governance framework, and model-risk standards adopted across BFSI risk portfolios. Led NLP, GenAI, LLM, chatbot, and Big Data programs with Kafka, Python, Snowflake, and Scala; optimised legacy designs for efficiency and performance.

Built RAG/LLM/Vector-based KYC processing and generative validation system for private banking customer experience using precision/recall metrics. Created Data Dictionary using XGBoost and spaCy for PII / non-PII classification, removing BA & MDM dependency; automated log-parsing flagging via RAG + LLM.

Designed purge framework reducing processing latency 90% (24 hrs → 4 min); pioneered H2O, PyArrow, PySpark to scale ML models on Snowflake. Advised senior leaders on AI ROI, prioritization, and audit readiness; delivered $1.5M+ in operational savings via feature engineering, time-series, and automation programs.

Led $5M multi-year transformation program; shaped C-suite technology roadmap and closed $1M AWS Big Data deal through SOW estimation and executive alignment. Directed SOW & estimation for UI/UX Looker projects, winning >$1M deal. Drove engagement strategy: SOW, T-shirt sizing, headcount planning, and budget alignment with C-level leadership.

Led AWS / Big Data / ML projects for global retail clients; mentored senior cross-functional teams on Big Data initiatives. Created multi-language chatbot integrated with web & Skype interfaces (Python, NLP, ML) for L&D team; ran CoE training programs yielding 30% L&D cost reduction.

Built predictive sales-forecasting models (Regression, RNN, Time Series) improving accuracy by 25%; supported presales and new account wins.

Developed Python-based NLP solution adopted by Japanese healthcare organisation; expanded into production with disease-dictionary pattern searches and automated dictionary updates via REST API. Built ML clustering algorithm on DJI datasets predicting cancer stages and prescribing medications, achieving >92% classification accuracy and securing a major account expansion.

Oversaw entire technical lifecycle — code review, optimisation, and delivery — using Hadoop, Java, Spark, HDFS, Hive, and HBase. Architected Spark/Scala solutions for BFSI & Telecom clients; executed 35% processing improvement on Hadoop and Hive pipelines. Won CBA Big Data engagement through architecture design and SOW; mentored Agile teams and senior developers in data architecture.

Developed Spark/Scala architecture and design strategies for big-data products; managed 30+ onshore/offshore team and acted as Business Analyst on London client engagements. Orchestrated BFSI digital transformation for UK bank; secured $10M deal and executed $8M Spark/Scala program.

Migrated legacy financial systems to big-data architecture (-70% processing time); drove 40-FTE AI program >$2M and earned top-performer recognition.

Built C/C++, C#. net, Java solutions for Telecom & Mobile Handset, Networking, and Healthcare clients; earned multiple client recommendations. Drafted SOWs, mentored developers, and served as offshore client interface lead for Freescale Semiconductors; led multiple Nortel modules with new feature development recognized by senior leadership.

Worked on AT&T toll-free number provisioning system; optimized data flows and system performance. Received early-career recognition for delivery excellence, mentoring, and showcasing maturity required for senior technical evaluations.