Pratham Goradia

Associate Consultant

Mumbai, Maharashtra, India3 yrs 11 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Designed a systematic investment fund using factor investing principles.
  • Developed predictive models enhancing mutual fund return assessments.
  • Created interactive dashboards for real-time investment insights.
Stackforce AI infers this person is a Fintech professional with strong quantitative analysis and investment management skills.

Contact

Skills

Core Skills

Portfolio ManagementQuantitative ResearchData AnalysisMarket Research

Other Skills

AlgorithmsAnalytical SkillsAnalyticsBloombergBloomberg TerminalCapital MarketsCommunicationComputer ScienceDashboardsData AnalyticsData EngineeringData ModelingData ScienceData VisualizationDeep Learning

Experience

3 yrs 11 mos
Total Experience
2 yrs 2 mos
Average Tenure
--
Current Experience

Dezerv

2 roles

Analyst

Nov 2023Oct 2025 · 1 yr 11 mos

  • Alternative Investment Fund of Funds: Played a key role in designing and launching a systematic Alternative Investment Fund of Funds using factor investing principles to create a well-diversified portfolio.
  • Model Evaluation & Backtesting: Built a comprehensive framework to evaluate and backtest mutual fund prediction models by integrating them with the internal order management system, ensuring accuracy, consistency, and improved portfolio performance.
  • Portfolio Reviews & Rebalancing: Conduct detailed reviews of client portfolios, identifying opportunities for rebalancing and optimization to ensure alignment with investment goals, risk tolerance, and market conditions.
  • Quantitative Models for Mutual Funds: Developed data-driven models to predict mutual fund returns, helping improve risk assessment, portfolio construction, and investment selection.
  • Fund Performance Dashboards: Created interactive dashboards to monitor fund performance, analyze return attribution, and provide senior management with real-time investment insights for better decision-making.
Market DataOptimization TechniquesFinancial ServicesStatistical LearningData AnalysisPortfolio Management+4

Intern

Apr 2023Nov 2023 · 7 mos

  • Analyzed large datasets from Bloomberg, Morningstar, and internal sources to extract meaningful insights, aiding investment strategy development and portfolio optimization.
  • Enhanced prediction models using Random Forest algorithms over traditional regression techniques, leading to improved predictive accuracy for screening and evaluating investments.
  • Conducted detailed performance attribution studies, identifying key factors driving portfolio returns and providing valuable insights.
  • Designed and implemented scalable ETL pipelines, streamlining data processing for portfolio analysis and investment research, reducing manual workload, and increasing efficiency.
Data AnalysisRandom ForestETL PipelinesPerformance AttributionMarket ResearchQuantitative Research

Djsce e-cell

2 roles

VCP Finance

Sep 2022Oct 2023 · 1 yr 1 mo

Technical Team Member

Nov 2021Sep 2022 · 10 mos

Jupiter stock brokers limited

Intern

Jun 2021Oct 2021 · 4 mos · Mumbai, Maharashtra, India

  • Conducted research on various financial instruments like bonds and stocks for trading in equity and debt markets.
  • Prepared detailed reports and created interactive Dashboards to analyze market trends and make informed investment decisions.
Market ResearchReport WritingData AnalysisDashboards

Education

Dwarkadas J. Sanghvi College of Engineering

Bachelor of Engineering - BE — Computer Science

Jan 2020May 2024

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