ishita bahamnia

ishita bahamnia

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success glorified.Global Governance_MEA PSIR International Relations_sustainable growth
Delhi, India

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Résumé


Jobs verified_user 0% verified
  • Indian Institute of Remote Sensing IIRS Indian Space Research Organization ISRO
    External Internship Program
    Indian Institute of Remote Sensing IIRS Indian Space Research Organization ISRO
    Jul 2026 - Current (4 months)
    Iisro
  • Indian Institute of Technology Delhi
    Artificial Intelligence Specialist
    Indian Institute of Technology Delhi
    Feb 2017 - Current (9 years 9 months)
    Analyzed sales funnels, customer behavior patterns, and affiliate performance metrics, contributing to a 10–15% improvement in identifying conversion bottlenecks and engagement gaps.

    Conducted structured research on digital product trends, pricing strategies, and competitive benchmarks, supporting data-backed recommendations for product and market teams.

    Collaborated with cross-functional teams—including product, marketing, and operations—to refine marketplace analytics workflows, improving revenue forecasting accuracy by 8–12%.

    Built interactive dashboards and automated reporting pipelines to track KPIs such as EPC, CTR, refund rates, and LTV, reducing manual analysis time by 30–35%.

    Enhanced dec
  • A
    Artificial Intelligence Researcher
    Airport Authority India
    Sep 2013 - Current (13 years 2 months)
    Let your project submission count and make an impact

    Led the development of advanced quantitative modules using Python, R, MATLAB, and enterprise analytics platforms, improving predictive assessment accuracy by 30–45% across multiple product lines.

    Provided data-driven recommendations for product strategies, roadmaps, and budget allocation, enabling 20% faster decision cycles and improving strategic alignment across cross-functional teams.

    Communicated complex analytics models and AI system behaviors to business leaders, increasing stakeholder clarity and adoption of ML-driven solutions by 40%.

    Conducted comprehensive technical risk analysis and reliability assessments, reducing product-level fai
  • Indian Institute of Technology Delhi
    Artificial Intelligence Specialist
    Indian Institute of Technology Delhi
    Sep 2023 - Apr 2026 (2 years 8 months)
    Industry based real-world data projects
  • A
    Artificial Intelligence Consultant
    Airport Authority India
    Sep 2023 - Feb 2026 (2 years 6 months)
    Performed comprehensive quantitative and qualitative research on digital products, affiliate funnels, and pricing models, generating insights that improved revenue strategy accuracy by 30%.

    Analyzed key marketplace KPIs—EPC, CVR, refund rates, cart abandonment, and LTV1—resulting in a 22% increase in forecasting reliability and identification of underperforming product segments.


    Built automated dashboards and reporting workflows that reduced manual analysis time by 45% and enabled real-time tracking of performance across 10+ regions and niches.

    Identified high-performing affiliates and traffic sources through statistical and behavioral analytics, contributing to a 15–25% growth in campaign-driven reven
Education verified_user 0% verified
  • Maharshi Dayanand University MDU Rohtak
    Master of Technology, Artificial Intelligence
    Maharshi Dayanand University MDU Rohtak
    Internships
    Winter Internship (2024- 2025) | Upskill
    IIT-D Internship- AI Architect




    MICROSOFT
    GitHub Co-Pilot Integration
    Utilized GitHub Co-Pilot for enhanced coding efficiency during development tasks.
    Microsoft Intern-AICTE Internship Student Registration ID: STU673ed75c3736c1732171612

    Research & Publications
    IEEE and Scopus indexed journal Publication Proof

    Workshops & Events

    HPAIR SCHOLAR '25 | Maharshi Dayanand University Rohtak
    Participant at the World Technocon Workshop Rendezvous 2024 hosted by IIT Delhi.



    Essential Skills:

    Programming Languages: Python, MATLAB, SQL
    AI & ML Expertise: Generative
  • Indian Institute of Technology Delhi
    Master's Degree, BUSINESS
    Indian Institute of Technology Delhi
    Research Associate
  • Dr Akhilesh Das Gupta Institute of Professional Studies
    Bachelor of Technology, Electrical and Electronics Engineering
    Dr Akhilesh Das Gupta Institute of Professional Studies
    Completed Bachelor’s degree in Electrical & Electronics Engineering from Guru Gobind Singh Indraprastha University with a strong foundation in electrical engineering principles, electronics, automation, power generation and distribution, instrumentation, and modern energy technologies. Developed practical expertise through hands-on labs, simulations, and engineering projects, building skills in system design, troubleshooting, data analysis, and applying technology-driven solutions to real-world industrial challenges.

    71%
Projects (professional or personal) verified_user 0% verified
  • IITIL
    Computational Assessment of Cell Morphology and Therapeutic Uptake Profile| FE^2B
    IITIL
    Jul 2026
    Computational assessment of cell morphology and therapeutic uptake profile is an artificial intelligence (AI)-driven image analysis framework that quantitatively evaluates cellular structural characteristics and intracellular drug accumulation from microscopy images. By integrating deep learning-based cell segmentation with quantitative morphometric analysis, fluorescence intensity measurement, and spatial distribution analysis, the framework enables high-throughput, objective, and reproducible evaluation of therapeutic response. This approach minimizes observer bias, accelerates biomedical research, and supports precision medicine by identifying subtle phenotypic changes associated with drug efficacy and toxicity.
  • IIT Bombay
    Computational Assessment of Cell Morphology and Therapeutic Uptake Profile| FE^2B
    IIT Bombay
    May 2026 - Jul 2026 (3 months)
    Computational assessment of cell morphology and therapeutic uptake profile is an artificial intelligence (AI)-driven image analysis framework that quantitatively evaluates cellular structural characteristics and intracellular drug accumulation from microscopy images. By integrating deep learning-based cell segmentation with quantitative morphometric analysis, fluorescence intensity measurement, and spatial distribution analysis, the framework enables high-throughput, objective, and reproducible evaluation of therapeutic response. This approach minimizes observer bias, accelerates biomedical research, and supports precision medicine by identifying subtle phenotypic changes associated with drug efficacy and toxicity.