Arup Pramanik

AI Researcher

Bengaluru, Karnataka, India14 yrs 5 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 17+ years of experience in analytics and data science.
  • Expert in developing predictive models for finance and healthcare.
  • Led innovative AI solutions for smarter patient engagement.
Stackforce AI infers this person is a Data Science and Analytics expert with a strong focus on Finance and Healthcare.

Contact

arup.pramanik27@gmail.comLinkedIn

Skills

Core Skills

Data ScienceMachine LearningNatural Language Processing (nlp)Employment Training

Other Skills

Dataiku DSSCluster AnalysisGenerative AI ToolsSAS BaseSegmentationStatistical ModelingData AnalysisQuantitative ResearchTrain the TrainerPredictive ModelingData ModelingAnalyticsStaff TrainingClassroom TrainingFinancial Modeling

About

With over 17+ years of experience in the analytics space, I specialize in transforming complex data into business-ready solutions that scale. My journey has spanned top consulting firms and financial institutions and world’s leading Healthcare and Medtech provider where I have built and validated predictive models that power credit decisions, optimize customer engagement, and reduce risk exposure. My expertise lies in developing advanced analytics solutions—ranging from Credit Card Risk Scorecards and Cross-Sell Propensity Models to Attrition Predictors and Cross-border Transaction Monitoring. I’m proficient in Python, Dataiku with hands-on experience in machine learning techniques like Random Forest, Decision Trees, Logistic Regression, Naive Bayes, kNN, and K-means clustering. 🔍AI in Action: Recently led the development of an NLP-based AI solution for a leading healthcare provider, enabling smarter patient engagement and clinical insights from unstructured data—bridging the gap between data science and healthcare innovation. What sets me apart is my ability to merge deep domain knowledge in financial modeling (mortgage prepayment, deposit behavior, PD estimation under Basel II) with real-world application and regulatory awareness. I’m passionate about collaborating with high-growth startups and innovative teams to build data-driven products, automate decision-making, and uncover insights that fuel sustainable growth. 📩 Let’s connect if you’re building something exciting at the intersection of finance, healthcare, and technology—or if you're looking for someone who can turn raw data into real business value.

Experience

14 yrs 5 mos
Total Experience
2 yrs 4 mos
Average Tenure
8 yrs 5 mos
Current Experience

4 yrs 1 mo

Accenture

– Present

Leading analytics provider

3 roles

Senior Data Scientist - Medical Affairs

Oct 2023 – Present · 2 yrs 7 mos · On-site

  • Leveraging NLP and N-gram modeling to extract precise, actionable insights from unstructured HCP feedback across multiple engagement channels for a leading healthcare provider.
  • Transforming medical affairs strategy by enabling data-driven understanding of physician sentiment, unmet needs, and engagement effectiveness at scale.
  • Driving innovation at the intersection of AI and healthcare, with a focus on language intelligence to optimize stakeholder communication and elevate patient-centric outcomes.
Data ScienceMachine LearningNatural Language Processing (NLP)Dataiku DSSCluster AnalysisGenerative AI Tools

Analytics Senior manager

Jul 2021 – Oct 2023 · 2 yrs 3 mos · On-site

Analytics Manager

Nov 2017 – Jun 2021 · 3 yrs 7 mos · On-site

Standard chartered bank

Manager

Nov 2015 – Oct 2017 · 1 yr 11 mos · Bengaluru Area, India

  • Built data-driven FX propensity models to identify and prioritize high-value clients for cross-border transactions, enabling targeted engagement strategies across Commercial and Retail Banking segments.
  • Delivered actionable insights by integrating multi-source banking data (transactional, trade finance, credit behavior) to support revenue growth, client segmentation, and product strategy.
  • Led market sizing and behavioral analytics initiatives for credit card products in India and Malaysia, unlocking real-time cross-sell opportunities and boosting customer lifetime value.

Orangetree global

Head of Analytics

Dec 2010 – Dec 2011 · 1 yr · Kolkata Area, India · On-site

  • Led corporate training programs and B-School workshops on Base SAS, Advanced SAS, and applied analytics, equipping professionals and students with industry-relevant, hands-on analytical skills.
  • Delivered case-driven, experiential learning modules focused on real-world problem solving, data modeling, and statistical techniques to enhance practical application.
  • Managed and mentored a team of 2–3 analysts, overseeing execution of analytics projects and training engagements to ensure quality delivery and client satisfaction.
Employment TrainingSAS BaseMachine LearningSegmentationStatistical ModelingData Analysis+6

Analytics training institute

Skills Trainer

Nov 2009 – Nov 2010 · 1 yr · Kolkata, West Bengal, India · On-site

Employment TrainingStaff TrainingTrain the TrainerClassroom Training

Redwood algorithms

Business Analyst

Sep 2008 – Oct 2009 · 1 yr 1 mo · Bengaluru Area, India · Remote

  • Designed customized application scorecards for retail credit card customers by integrating multi-source data (bureau, application, transaction, and demographic) to build segment-wise Probability of Default (PD) models.
  • Applied advanced risk segmentation and supervised techniques (e.g., CHAID) to classify customer risk profiles and uncover behavioral patterns across demographic groups.
  • Monitored and optimized model performance through rigorous diagnostics (KS, Gini, ROC, decile capture) and incorporated client feedback to refine predictive accuracy and business alignment.

Nshm knowledge campus

Research Associates

Sep 2007 – Sep 2008 · 1 yr · Kolkata Area, India

  • Worked under the guidence of academic professionals and worked on some academic projects and presented the research papaers in Seminars.

Education

Presidency College

Master's degree — Applied Economics

Aug 2004 – Jul 2006