Priye Prabhakar

AI Researcher

New Delhi, Delhi, India9 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led data-driven insights for equity research at Morgan Stanley.
Developed innovative ML solutions for transportation logistics.
Strong background in data science and finance.

Stackforce AI infers this person is a Data Science professional with expertise in AI-driven solutions for finance and logistics.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Natural Language Processing (nlp)Data-driven Decision Making

Other Skills

ANSYSAWS APIAWS LambdaAlgorithmsCSSData AnalyticsData VisualizationEnglishFLUENT CFDGenerative AI ToolsJavaScriptMicrosoft PowerPointModel-Driven Architecture (MDA)Multilingual NLPPython (Programming Language)

About

As a Manager - Data Strategist at Morgan Stanley, I lead a team of data scientists and analysts who provide data-driven insights and solutions for the equity research division. We use machine learning, data visualization, and statistical modeling techniques to enhance the research quality, efficiency, and impact of our analysts and clients. I have a strong background in data science, finance, and consulting, thanks to my previous experience as a Data Scientist at Tiger Analytics. I am passionate about applying my skills and knowledge to solve real-world problems and create value for businesses and society. My goal is to learn more and grow as a data strategist and a leader in this dynamic and evolving field.

Experience

9 yrs 9 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 9 mos

Current Experience

Deutsche telekom digital labs

Senior Data Scientist - GenAI Solutions

Aug 2024 – Present · 1 yr 9 mos · Gurugram, Haryana, India · Hybrid

Recommender SystemsNatural Language Processing (NLP)Multilingual NLPGenerative AI ToolsArtificial Intelligence (AI)

Morgan stanley

2 roles

Manager - Data Strategist

Promoted

Jan 2023 – Jun 2024 · 1 yr 5 mos

Senior Associate - Data Strategist, Equity Research

Oct 2021 – Jan 2023 · 1 yr 3 mos

Python (Programming Language)Natural Language Processing (NLP)Model-Driven Architecture (MDA)Data-driven Decision Making

Tiger analytics

3 roles

Data Scientist

Promoted

Jul 2021 – Oct 2021 · 3 mos

Senior Data Analyst

Jul 2019 – Jul 2021 · 2 yrs

Working with a leading US based Transportation and Logistics company to develop and apply ML solutions in various business across the organisation.
Roles & Responsiblities :-
Carrier Pricing Model- Redevelop the model algorithm such that the predicted price is able to account for Covid 2019 effect dynamically.
Customer pricing model- Developed the pricing model algorithm
which will provides margin % recommendation for agents to add on top of their costs.
Carrier Recommendation Model- Algorithm developed to identify relevant carriers for a particular loads on a given Lane. The model leveraged from past carrier behavior, lane history, postings, searches and market situation to create a near-perfect profile

Data Analyst

Jun 2018 – Jul 2019 · 1 yr 1 mo

Build Media Mix Models for a major US Alcohol retailer quantifying the impact of media activities
and trade promotions on new customer acquisition and sales across different products X Region
Developed an algorithm to explain variability in Sales as a function of Contributions from various marketing activities
Optimised model through :-
> A Suite of Linear and Non-linear multivariate time series models to estimate relationships
> Capturing effects of advertising with Ad-Stock and Decay transformations
> Law of Diminishing Returns to capture true Marginal ROI on incremental spend

General motors technical centre india private limited

Research Analyst Intern

May 2017 – Jun 2017 · 1 mo · Bangalore

Develop mathematical model of conjugated heat transfer equation for car’s exhaust system
Optimized temperature prediction of GM Cadillac‘s exhaust system with max accuracy of 87%
Worked in consultation with senior engineers to analyze automobile’s exhaust performance data

National aerospace laboratories, bangalore

Research Intern

May 2016 – Jul 2016 · 2 mos · Bangalore

Develop a Solidwork model of T106A turbine blade cascade.
Conducted a 3D simulation on ANSYS Fluent on the model and studied the prediction of transition point in T106A turbine blade.

Indian institute of technology, kharagpur

2 roles

Captain, Case Study Team

Jan 2016 – Jan 2017 · 1 yr · West Bengal, India

Led a team of 20 members on the 'Growth of Aviation Industry',focusing on future prospects in aviation
Proposed solution to increase employment by 35%; analyzed landscape of Indian aviation sector
Conceptualized model 'The Tripod Model Of Growth' to tackle challenges faced by aviation SMEs

Vice-Captain, Case Study Team

Jan 2015 – Jan 2016 · 1 yr · West Bengal, India

Codeveloped -'The SMART Methodology' to increase the ranking of IIT’s to top 50 globally by 2020
Coordinating the new team with the Captains and Organizing sessions for the sophomores