Maroof Akhtar

Data Scientist

Mumbai, Maharashtra, India10 mos experience

Most Likely To Switch

Key Highlights

Experienced in evaluating high-potential startups.
Implemented innovative algorithms in machine learning research.
Skilled in algorithmic trading and quantitative finance.

Stackforce AI infers this person is a Fintech and Research-focused professional with expertise in Machine Learning and Investment Analysis.

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Skills

Core Skills

Investment AnalysisMachine LearningAlgorithmic TradingData ScienceBehavioural Economics

Other Skills

Analytical SkillsBrain-Inspired AlgorithmsGame TheoryHebbian LearningManagementNumPyO-Tree StudioProblem SolvingPython (Programming Language)Quantitative FinanceReinforcement LearningStrategycredit card analyticsevaluating startupsstartup evaluation

Experience

Icici bank

Data Scientist I

Aug 2025 – Present · 7 mos · Mumbai, Maharashtra, India

credit card analytics

credit card analytics

Samarthya investment advisors

Investment Analyst

May 2025 – Jul 2025 · 2 mos · Mumbai, Maharashtra, India · On-site

Sourced and evaluated high-potential startups across vertical AI, quantum technologies and cryptography supported successful investments in Runable.com, OnFinanceAI, Kluisz, and AgentR.

evaluating startupsinvestment analysis

A*star - agency for science, technology and research

Neuro x ML Research Intern

May 2024 – Aug 2024 · 3 mos · Singapore · On-site

Implemented Brain-Inspired Algorithms like Hebbian Learning on state of the art Reinforcement Learning methods to solve benchmark Gym environments. In state of the art ML Models, the training process is based on backpropagation and Stochastic Gradient Descent (SGD) optimization. However, studies in neuroscience strongly suggest that this kind of processes does not occur in the biological brain. Rather, learning methods based on Spike-TimingDependent Plasticity (STDP) or the Hebbian learning rule seem to be more plausible.

Brain-Inspired AlgorithmsReinforcement LearningHebbian LearningMachine Learning