Adarsh Dattatri

AI Researcher

Bengaluru, Karnataka, India13 yrs experience

Most Likely To Switch

Key Highlights

Expert in NLP and Machine Learning technologies.
Proven track record in building and optimizing ML models.
Strong experience in data engineering and cloud platforms.

Stackforce AI infers this person is a Data Science and Machine Learning expert in the Fintech and SaaS industries.

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Skills

Core Skills

Natural Language ProcessingMachine LearningData Engineering

Other Skills

AWS SageMakerAmazon Web Services (AWS)Apache AirflowApache KafkaApache PigApache SparkApplied Machine LearningApplied ProbabilityBERT (Language Model)Bayesian StatisticsDeep LearningDistributed and Parallel ComputingDocker ProductsEnterprise SoftwareExtract, Transform, Load (ETL)

About

Programmer, Analyst, Data Engineer, and ML Expert

Experience

Citi

AVP - Data Science

Nov 2024 – Present · 1 yr 4 mos · Pune, Maharashtra, India · Hybrid

NLP/NLU in Compliance
Increase throughput of NLP pipelines.
Currently fine-tuning Large Language Models

Apache SparkBERT (Language Model)PyTorchApache KafkaLarge Language Model Operations (LLMOps)Natural Language Processing+1

Career break

Layoff/position eliminated

Aug 2024 – Oct 2024 · 2 mos

Freelance

Machine Learning Engineer

Apr 2023 – Jul 2024 · 1 yr 3 mos · Remote

Google Cloud Platform (GCP)MLOpsMachine Learning

Fpl technologies

Lead Data Scientist

Sep 2021 – Aug 2022 · 11 mos · Bengaluru, Karnataka, India

Built ETL pipelines to pre-compute variables used for portfolio decisions
Built merchant offer personalization models to personalize offers for customers and therefore increase spends

Apache KafkaDocker ProductsGitAmazon Web Services (AWS)Apache AirflowApplied Machine Learning+2

Intuit

Senior Data Scientist

Dec 2020 – Jul 2021 · 7 mos · Bengaluru, Karnataka, India · On-site

Distributed Computing (Spark)

Apache KafkaApache SparkDocker ProductsGitData Engineering

Freshworks

Lead Data Scientist

Jan 2019 – Oct 2020 · 1 yr 9 mos · Chennai, Tamil Nadu, India · On-site

Enhance Freshworks product suite by adding ML features

Apache KafkaDocker ProductsGitAmazon Web Services (AWS)BERT (Language Model)PyTorch+1

Consultant / self-employed

Consultant ML Engineer

Jun 2017 – Jan 2019 · 1 yr 7 mos

Adopted a need-to-nerd attitude
ML Engineer in an early-stage startup based in the US. Built NLP pipelines to process unstructured text from websites to automate market research. Worked on Deep learning algorithms for knowledge extraction and Named Entity Recognition
Built a ML based underwriting system for a small lending company in the US. Owned the entire pipeline from data extraction, ETL, Machine Learning and implementation of models in production

Apache KafkaDocker ProductsGitAmazon Web Services (AWS)MLOpsMachine Learning

Moneytap

ML Engineer

Mar 2017 – Jun 2017 · 3 mos

Fidelity investments

Senior Data Scientist

Jan 2016 – Feb 2017 · 1 yr 1 mo · Greater Bengaluru Area

LTV (Lifetime-value) models from transactional, behavioural and customer profile
data to improve marketing effectiveness.
Implemented an auto ML framework in Python - model training and evaluation
time reduced to 2 days versus 1 or 2 weeks

Kabbage from american express

Lead Data Scientist

Nov 2014 – Dec 2015 · 1 yr 1 mo · Bengaluru, Karnataka, India

1st employee of Kabbage India Risk analytics team
Build, monitor and improve ML algorithms to achieve high underwriting performance
Develop and implement predictive models for optimizing customer acquisition costs and improve profitability of loans
Design and implementation of A/B tests to evaluate customer acquisition campaign
effectiveness and pricing optimization

Applied Machine LearningPython (Programming Language)Machine Learning

Chisquare analytics

Data Scientist

Oct 2013 – Sep 2014 · 11 mos · Bangalore

ChiSquare Analytics is a boutique ML consulting company developing customized data products for clients to meet their most challenging Analytics and AI opportunities

Applied Machine LearningMachine Learning

Deutsche bank

Senior Quantitative Analyst

Mar 2012 – Jun 2013 · 1 yr 3 mos · Berlin

Member of Market Risk Methodology and Calibration (MRM) team
MRM has a strong focus on the activity on the dealing floors and works closely with traders and senior managers to perform the complex risk analyses that are crucial to inform their business decisions.
Reviewing Value-at-Risk (VaR) computation methodology for interest rates, equities, FX
and other asset classes
Assisting risk managers to perform VaR impact tests and Risk weighted assets (RWA)
computation for VaR models to be deployed in production
Back-testing analysis and statistical tests to evaluate model performance

PythonEnterprise SoftwareApplied Machine LearningMachine Learning