manish kumar

CEO

Gurgaon, Haryana, India16 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 15 years of experience in Finance and Data Science.
Expert in Machine Learning and Natural Language Processing.
Achieved 40-50% return on capital as Research Director.

Stackforce AI infers this person is a Fintech expert with a strong focus on Data Science and Machine Learning.

Contact

Skills

Core Skills

Algorithmic TradingQuantitative ResearchNatural Language Processing (nlp)

Other Skills

AlgorithmsApache PigApache SparkArtificial IntelligenceBig DataCCore JavaData MiningData ScienceData StructuresDeep LearningHBaseHadoopMachine LearningMahout

About

➢ Over 15 years of experience in Finance and Data Science, specializing in formulating machine learning and statistical approaches with a focus on business metrics. Skilled in designing features from rich data sources, as well as training, evaluating, and deploying models. ➢ 15 years of professional experience across MNCs including American Express, BlackRock ,24[7] and Samsung Research. ➢ Completed MS in Data Science from Bits Pilani . ➢ Area of Interest: Quantitative Trading,Portfolio Management,Machine Learning,Deep Learning, NLP. ➢ Language and Framework: C++, Python,TensorFlow, MYSQL, Hadoop(Map-Reduce), Hive.

Experience

Alphagrep

Vice President

Dec 2024 – Present · 1 yr 3 mos · Gurugram, Haryana, India

26milescapital

Research Director

Jan 2022 – Dec 2024 · 2 yrs 11 mos · Gurugram, Haryana, India

As the Research Director, I lead a team of researchers and manage MFT books, achieving a return on capital (ROC) of 40-50%.

Algorithmic TradingQuantitative ResearchPortfolio Management

American express

Senior Research Scientist | Senior Manager

Jun 2018 – Dec 2021 · 3 yrs 6 mos · Gurgaon, Haryana, India

Established the Data Science team for the MIS Division from the ground up.
Led innovations in Data Science & Machine Learning (Mainly in NLP ) with end to end design and development of VOC team.
Developed Deep learning methods for Text Summarization and Early Warning.
Developed 1st generation of VIBES(Valuing Interaction by Evaluating Sentiment) model. Brought different teams together to determine incentives for CCP(Customer Care Professionals).
Created and deployed a model to assess adherence to CCP protocols in the Fraud department across various segments (e.g., call opening, ID process, charge verification, valid charges, value statement, call closing).

Natural Language Processing (NLP)

Blackrock

Data scientist| Quantitative Researcher

Jan 2015 – Jan 2018 · 3 yrs · Gurgaon, India

Applied Data Science and Machine Learning on financial data.
Actively engaging in signal research for all regions particular US.
Developed signals using order book data, sentiment analysis, analyst estimates, and flow data.

Algorithmic TradingQuantitative Research

[24]7

Data Scientist

Feb 2014 – Aug 2014 · 6 mos · Bangalore

•Worked on Natural Language Product to predict the Intent from Speech Using Natural Language Processing and Machine learning Algorithm.

Natural Language Processing (NLP)

Mobileuminc

Senior Data Analyst

Jan 2014 – Jan 2015 · 1 yr · Gurgaon, India

• Applied Machine learning on telecom data.

Samsung r&d institute india

Senior Software Engineer

Jan 2011 – Jan 2014 · 3 yrs · Noida Area, India

Involve in Different type of project proposal Related to Recommendation System.
Design and Implement various Machine Learning and Recommender system algorithm on distributed platform Hadoop for Big Data.
Worked algorithm which provides personalised recommendation of attraction, Hotel, Restaurant for given user, based on given GPS location or city.