Sudin Kadam, PhD

CEO

Mumbai, Maharashtra, India13 yrs 2 mos experience

Highly Stable

Key Highlights

Expert in developing machine learning algorithms for finance.
Proven track record in quantitative research and data science.
Strong background in aerospace and mechanical engineering.

Stackforce AI infers this person is a Data Science and Engineering expert with a focus on quantitative research in finance and aerospace.

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Skills

Core Skills

Quantitative ResearchMachine LearningData ScienceResearch And DevelopmentEngineeringAerospace Systems

Other Skills

ANSYSAerospace EngineeringAmazon Web Services (AWS)Big Data ProcessingCADData WarehousingFraud DetectionGraph TheoryManufacturingMathematical ModellingMatlabMechanical EngineeringProbabilistic Graphical ModelsPythonRegression Analysis

Experience

Global investment management firm

Principal - Quantitative Research

Jun 2022 – Nov 2025 · 3 yrs 5 mos · Mumbai, Maharashtra, India · Hybrid

In my role at a leading global hedge fund, I am focused on creating innovative hedge fund strategies that leverage mid-frequency uncertainty in equities. My work involves developing computationally efficient Python codes for statistical modeling and machine learning. I research large alternative datasets to enhance our market-neutral investment strategies in developed market equities.

PythonStatistical ResearchMachine LearningStatistical Data AnalysisQuantitative Research

First walkin technologies

Peppo Technologies

Jan 2019 – Jul 2022 · 3 yrs 6 mos · Greater Bengaluru Area · Hybrid

Architected and led comprehensive data science and analytics initiatives, translating business challenges into actionable technical solutions.
Developed a serverless ML-based automated timeout system, effectively managing stakeholder defaults in order flows.
Researched and implemented a probabilistic fraud detection algorithm, enhancing security measures through advanced statistical techniques.

Data ScienceMachine LearningStatistical TechniquesFraud Detection

Getfocus - contextual marketing through retail analytics

Head of Research

Dec 2014 – Apr 2018 · 3 yrs 4 mos · Mumbai Metropolitan Region

Developed a probabilistic indoor localization and navigation technology using wireless signals and mobile phone inertial sensors
Researched on application of machine learning, graph theory, hidden Markov modeling and stochastic state estimation techniques to indoor localization technologies
Built a recommender engine using probabilistic graphical models using big data processing and location analytics using Python
Developed UltraWide Band based fine localization solution using trilateration technique and by integrating it with indoor maps and IMU sensors
Did product management, liaised with sales team, managed engineering team to roll out tech products with minimal latency

Machine LearningGraph TheoryProbabilistic Graphical ModelsBig Data ProcessingResearch and Development

Larsen & toubro limited

Senior Engineer

Jul 2009 – Jul 2012 · 3 yrs · Powai, Mumbai

Responsibilities included :
Design & development naval and aerospace systems - ship-borne tracking systems, winch and handling robotic system and ship based object launcher
Mathematical modelling and simulation of hypersonic wind tunnel systems
Lead a shopfloor team for an aerospace workshop efficiency development program
Proposal engineering for developmental engineering projects for defence applications

Mathematical ModellingSimulationAerospace SystemsEngineering