Drishti Idnani
Data Scientist | Researcher | Mentor

Drishti Idnani Data Scientist | Researcher | MentorDrishti Idnani Data Scientist | Researcher | MentorDrishti Idnani Data Scientist | Researcher | Mentor

Drishti Idnani
Data Scientist | Researcher | Mentor

Drishti Idnani Data Scientist | Researcher | MentorDrishti Idnani Data Scientist | Researcher | MentorDrishti Idnani Data Scientist | Researcher | Mentor
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Drishti Idnani - Portfolio

Education and Work Experience

Education and Work Experience

Education and Work Experience

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Research Work

Education and Work Experience

Education and Work Experience

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Mentoring and Judging

Education and Work Experience

Mentoring and Judging

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Education and Experience

Evara - Sr Data Scientist

Oct 2025 - Present


  • Built ETL pipelines processing ~60,000 records biweekly across 70–80 data formats. 
  • Reduced a 440+ hour/month manual workflow to 1–2 hours/month through automation. 
  • Standardized ~93% of business rules with validation, audit logging, and exception handling.


Turned fragmented operational workflows into scalable, auditable automation systems.

ASUS - Data Scientist

Oct 2023 - Aug 2025


  • Own U.S. data infrastructure powering 30+ dashboards for daily and strategic decisions. 
  • Improved NUC forecasting accuracy by 17% using SARIMAX with GDP and TAM inputs. 
  • Built real-time ETL pipelines for Revenue and PnL, reducing manual reporting by 40%.


Built the data foundation behind ASUS USA’s decision-making ecosystem.

Intel - Data Scientist

Intel - Graduate Data Science Intern


Oct 2022 - Sep 2023


  • Led 25+ automation initiatives, saving 3,500+ hours annually across planning and supply chain. 
  • Built a SARIMAX forecasting model with 82% accuracy to support supplier and inventory planning. 
  • Centralized fragmented datasets into a unified repository for faster cross-functional decisions.


Helped teams move from manual reporting to scalable, proactive analytics.

Intel - Graduate Data Science Intern

Intel - Graduate Data Science Intern

Feb 2022 - July 2022


  • Designed an end-to-end pipeline for Supply Chain Shortages reporting. 
  • Automated allocation tracking and dashboards, saving planners 2.5+ hours/week. 
  • Standardized inconsistent reporting formats to improve accuracy and visibility.


Delivered production-ready solutions that continued adding value beyond the internship.

University of Florida - Master of Science

University of Florida - Master of Science

Computer & Information Science & Engineering, 2021–2022


  • Focus: Data Science, Machine Learning, Systems 
  • Built applied forecasting and analytics projects connecting academic theory to real-world implementation. 
  • Developed a foundation in explainable modeling, messy data, and business-context-driven analytics.


Learned to connect academic modeling with real-world, business-facing analytics.

Highbrow - Content Analyst

University of Florida - Master of Science

July 2020 - December 2020


  • Used PostgreSQL analytics to identify engagement drivers behind product growth. 
  • Contributed to a 75% increase in user sign-ups through insight-led product optimization. 
  • Led QA for Reliance Infrastructure’s B2B platforms, improving UX and operational performance.


Turned user behavior insights into product improvements and measurable growth.

NMIMS University - Bachelor of Technology

NMIMS University - Bachelor of Technology

Computer Engineering, 2016-2020


  • Focus: Computer Engineering, Data Structures, Algorithms, Databases
  • Built foundations in Python, SQL, systems thinking, and applied problem-solving. 
  • Co-authored published research on online testing systems and symmetric-key encryption algorithms.


Gained the technical and research foundation that shaped my path into data science.

Research Work

📄 Published Papers

📄 Published Papers

📄 Published Papers

  • Experience of Conducting Online Test During COVID-19 Lockdown: A Case Study of NMIMS University
    International Journal of Engineering Pedagogy (2021) — Cited 28 times

    Analyzes student and faculty adaptation to digital learning and assessment during the COVID-19 lockdown.

Link

📄 Published Papers

📄 Published Papers

📄 Published Papers

  • Performance Evaluation of AES, ARC2, Blowfish, CAST and DES3
    2019 International Conference on Computing Methodologies — Cited 14 times

    Benchmarks the efficiency and security of leading symmetric key encryption algorithms for standalone computing systems.

Link

📄 Published Papers

📄 Published Papers

📄 Published Papers

  • Exploring Human Capital Depreciation and Gender-Specific Wage Trends: Evidence from Italy
    Presented at ICETM 2025 (Peer-reviewed and published)

    Investigates gender-based wage gaps and human capital depreciation patterns across the Italian labor market.

Link

📄 Published Papers

📄 Published Papers

📄 Published Papers

  • A Correlation-Driven Framework for Multivariate Time Series Forecasting
    Presented at ICETM 2025 (Peer-reviewed and published)

    Introduces a correlation-based forecasting framework to enhance accuracy in multivariate time series analysis.

Link

📄 Published Papers

📄 Published Papers

📄 Published Papers

  • Mapping Trust in Online Healthcare Ecosystems: A Network Analysis and User-Centric Evaluation
    2025 IEEE 2nd International Conference on Energy and Electrical Engineering (EEE) — Peer-reviewed and published

    Analyzes trust and information credibility across thousands of healthcare websites using network-based and user-centered evaluation methods.

Link

📄 Published Papers

📄 Published Papers

📄 Published Papers

  • Leveraging Crowdsourcing for Dynamic Answer Validation and Generation in Time-Constrained Conversational AI Systems
    2025 IEEE 2nd International Conference on Energy and Electrical Engineering (EEE) — Peer-reviewed and published

    Explores how crowdsourcing enhances real-time question answering and improves accuracy in conversational AI systems.

Link

🧪 Reviewing Contributions

🧪 Reviewing Contributions

🧪 Reviewing Contributions

  • IEEE International Conference on Engineering, Technology & Management (ICETM) 2025 
  • IEEE Symposium on Computers & Informatics (ISCI 2025)
  • IEEE Symposium on Wireless Technology & Applications (ISWTA 2025)


 

🧪 Reviewing Contributions

🧪 Reviewing Contributions

🧪 Reviewing Contributions

  • IEEE International Conference on Agrosystem Engineering (AGRETA 2025)
  •  16th International IEEE Conference on Computing, Communication, and Networking Technologies (ICCCNT) 2025 at IIT Indore
  •  5th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2025)
     

LinkedIn

🧪 Reviewing Contributions

Google Scholar

LinkedIn Link

Google Scholar

Google Scholar

Google Scholar

Google Scholar Link

🤝 Mentorship & Judging

🎓 Hackathons & AI Education

🎓 Hackathons & AI Education

🎓 Hackathons & AI Education

  • Mentor – AI Hackathon at Laney College
    Selected as one of four official mentors at a multi-sponsor event (Intel, JFF, Kapor Center, OVCC).
    Advised 20+ teams from schools and startups on architecture, deployment, and AI strategy.
     
  • Mentor – AI Hackathon at UC Berkeley
    Supported 350+ projects at Berkeley’s largest AI hackathon.
    Helped teams refine multi-agent workflows, vision-powered LLMs, and real-world alignment.
     

👩‍⚖️ Judging Roles

🎓 Hackathons & AI Education

🎓 Hackathons & AI Education

  • Judge – University of Michigan Hackathon - MHacks (Sept 2025)
    Served as a judge assessing AI-driven projects for innovation, feasibility, and ethical design at one of the nation’s largest student hackathons.


  • Judge – Innovate 4 SDSU Hackathon (November 2025)
    Will serve on the judging panel evaluating creativity, technical depth, and real-world impact at San Diego State University’s interdisciplinary hackathon.

🏛 Advisory & Leadership

🎓 Hackathons & AI Education

🏛 Advisory & Leadership

  • Invited Member – AI Board Meeting at Laney College (July 2025)
    Invited contributor to the institutional board shaping applied AI curriculum and workforce pathways.
     

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