Maitreya Manish

About

Finance and Analytics undergraduate with hands-on experience across internships in financial analysis, business intelligence, and data-driven decision support. Skilled in financial modelling, analytics, and reporting, with co-authored award-winning research in applied analytics.

Experience

• Finance & Analytics Intern
  Bizzoom Venture · Lucknow, Uttar Pradesh, India
  May 2025 – Jul 2025

  Built Tableau dashboards across 5+ business segments to streamline MIS reporting, enhance data visibility, and support faster delivery of insights to senior leadership. Conducted variance analysis on 10,000+ rows of weekly financial data to identify operational inefficiencies and support 3+ cost-reduction recommendations.

• Summer Intern – Finance
  Ansal API · Lucknow, Uttar Pradesh, India
  May 2024 – Jun 2024

  Developed financial models, budgeting schedules, and cost-revenue analyses for 2 real estate projects, supporting investment evaluation and C-suite review. Coordinated across 3+ departments to consolidate financial data and financial statements into board-ready presentations for stakeholder reporting, reducing preparation time for senior management.

• Research Intern
  Christ University – R&D Cell · Ghaziabad, Uttar Pradesh, India
  Feb 2024 – Sep 2024

  Secured ₹3 lakh in research grants by structuring quantitative funding proposals grounded in 100+ academic and financial sources.

Education

• B.Com
  Christ (Deemed to be University) · CHRIST (Deemed to be University)
  Applied Finance & Analytics · Aug 2023 – May 2026
• Class XII
  Kendriya Vidyalaya IIM Branch · Central Board of Secondary Education (CBSE)
  Commerce · May 2023
• 10th / Secondary (Class 10)
  Lucknow Public Collegiate · Cisce (Icse/Isc)
  Science · Jul 2021

Skills

• SQL
• Artificial intelligence
• Business Analysis
• Data Analysis
• Data Visualization
• Finance
• Python
• Forecasting
• Power BI
• Financial Analysis
• Financial Modeling
• Microsoft Excel
• Budgeting
• Microsoft PowerPoint
• Financial Planning and Analysis
• P&L Analysis
• Investment Analysis
• ESG Analysis
• Research and Writing
• Data visualization tools

Projects

• ML vs. GARCH: Market Risk Forecasting in Emerging Economies

  Co-authored comparative study of ML models vs. GARCH for volatility and VaR forecasting on emerging market data; contributed to research design, literature review, and financial interpretation of results.

• Hybrid ML Models for Crowdfunding Success Prediction ↗

  Co-authored study comparing ML classifiers on crowdfunding data; contributed to problem framing, data interpretation, and financial analysis of model outputs.

• Value-at-Risk & Volatility
  GARCH

  Applied GARCH models at 95% and 99% confidence intervals to equity portfolios.

• ESG & Financial Performance
  Panel Data Regression

  Panel data regression linking ESG scores to firm performance across sectors.

Courses & certifications

• Google Advanced Data Analytics · Google · 2026
• JPMorgan Quantitative Research · Forage
• Deloitte Data Analytics · Forage
• AI Fundamentals · IIT Guwahati
• MCX MCCP · MCX

🏆 Achievements & awards

• 2nd Best Paper – IC- SoBD 2026 · 2026

  ML vs. GARCH: Market Risk Forecasting in Emerging Economies

• Best Paper – ICCCNet 2025, UK · 2025

  Hybrid ML Models for Crowdfunding Success Prediction

⚽ Extracurricular activities

• Head, Placement Committee (SCFA)
• Student Council member
• Emcee
• School Captain

📚 Publications

• Hybrid ML Models for Crowdfunding Success Prediction ↗ · 2026

🎯 Hobbies & interests

• Boxing
• Guitar
• Sketching
• Volleyball
• Table Tennis