Anant Vashistha

AI Researcher

New York, New York, United States4 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in AI and data science with MIT background.
Proven track record in model risk management.
Strong experience in fintech and e-commerce analytics.

Stackforce AI infers this person is a Fintech and E-commerce data science expert with a focus on AI/ML models.

Contact

anantseptember17@gmail.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Model RiskMachine LearningOptimizationStatisticsBig DataE-commerceConsultingPayments

Other Skills

AVR Studio 4Apache SparkAutomationCC++CommunicationData AnalysisData AnalyticsDeep LearningDigitizationEmbedded CFinancial InstitutionsHTMLHadoopHive

About

AI and data science researcher with a deep academic foundation in machine learning, generative AI, and statistical modeling, developed through graduate studies at the Massachusetts Institute of Technology (MIT) and an undergraduate gold medal from Indian Institute of Technology (IIT) Roorkee. Currently at Barclays in Model Risk Management, I focus on the validation and risk assessment of AI/ML models, with growing emphasis on generative AI architectures and their operational alignment. My cross-sector background across fintech, e-commerce, and analytics has shaped a systems-level view of how AI can be deployed to increase effectiveness. My work is driven by a research mindset—prioritizing rigor, reproducibility, and interpretability—and I’m especially interested in advancing the intersection of large language models, NLP, and AI frameworks.

Experience

Barclays

Assistant Vice President | Data Science - AI/ML Models

Oct 2023 – Present · 2 yrs 5 mos · New York, New York, United States · On-site

Developed credit risk models to predict default probabilities and evaluated their performance and stability using metrics (R)
Conducted the back-testing and examined the population statistics for the models deployed in the production (Python/R)
Built the challenger machine learning models and examined their performance against the champion models during validation
Developed a RAG based chatbot in the GenAI hackathon for streamlining the regulatory changes within the bank (Python)

Python (Programming Language)Artificial Intelligence (AI)RStudioModel Risk

Unilever

Data Scientist | MIT Capstone Project

Feb 2023 – Aug 2023 · 6 mos · Cambridge, Massachusetts, United States · Remote

Create a standard product name mapping by extracting information from the product description through text mining (Python)
Automate and streamline the current optimization process to lower the manual efforts of the supply chain team (Python-PuLP)
Develop the Power App incorporating various production scenarios and design an interactive dashboard to visualize results

OptimizationStatisticsMachine LearningProblem Solving

Listrak

Data Scientist | MIT Analytics Lab

Sep 2022 – Dec 2022 · 3 mos · Cambridge, Massachusetts, United States · Remote

Assessed 10 companies from 4 retail categories and compared purchase rates of different active user types for each company
Created 26 pertinent features from six variables of 212M action-level data points and performed feature selection (Python)
Built the OLS model and presented it to the senior leadership with actionable insights for optimizing marketing efforts

Big DataStatisticsMachine LearningProblem SolvingPresentation Skills

Shopee

Senior Analyst - Business Intelligence

Jan 2022 – Mar 2022 · 2 mos · Bengaluru, Karnataka, India · On-site

Analyzed platform's traffic data to conduct user's cohort analysis, understand consumer's activity and their spending pattern
Collaborated with Philippines and Thailand team to launch a one-view dashboard for analyzing daily and weekly metrices for India region
Supported in scaling up of commercial and operations business intelligence division for Indian market through assisting in ad-hoc requests and reports automation
Industry : E-commerce

Python (Programming Language)Big DataE-CommerceStatisticsSQLMachine Learning+3

Mastercard

4 roles

Consultant | Data and Services

Promoted

Sep 2020 – Jan 2022 · 1 yr 4 mos · On-site

Analyze bank’s portfolio and customer’s spend patterns using propensity models to provide suggestions and recommendations
Provide decision support and deduce data-driven valuable insights to solve high-impact problems of merchants from different industries such as tourism, retail, hotel, financial services, transportation, etc., for the US, Europe, and the Asia Pacific markets.
Analyze authorization performance of different payment facilitators and benchmark them with the market on different key performance metrics.
Awarded 25+ ‘recognizing you’ awards from different stakeholders for continuous team support, collaboration, a sense of urgency, etc.
Tech Stake: Hadoop, Apache Hive, Apache Spark, Apache Impala, SQL, SAS, Python, Shell Script

HiveApache SparkConsultingPayment GatewaysStatisticsSQL+6

Associate Consultant | Data and Services

Apr 2020 – Aug 2020 · 4 mos · On-site

Developed a product for different merchants of different industries to analyze their performance
Manage recurring deliveries and delivered 100+ tourism-related insights to clients belonging to the US, Europe, and Asia Pacific market
Migrated codes to Python/PySpark and developed an automated excel dashboard of a few deliveries, resulted in a reduction in run time
Promoted in just 1-year timeframe from Associate Consultant to Consultant for exceeding targets and supporting company culture
Worked on 10+ different projects, participated in technical competitions and social events, and was a panelist and speaker during induction sessions and placement talks, respectively.
Tech Stake: Hadoop, Apache Hive, Apache Spark, Apache Impala, SQL, SAS, Python, Shell Script

StatisticsMachine LearningProblem Solving

Trainee Consultant | Data and Services

Sep 2019 – Mar 2020 · 6 mos · On-site

StatisticsMachine LearningProblem Solving

Trainee Analyst | Data and Services

Jun 2019 – Sep 2019 · 3 mos · On-site

StatisticsProblem Solving

Pepsico

Global Value Innovation Centre

May 2018 – Jul 2018 · 2 mos · Gurugram, Haryana, India · On-site

Developed the concept of IoT Cooler and designed a process flow to replace vending machines for the US market
Conducted a failure mode effect analysis study, identified the bottlenecks and provided solutions
A comparative study made on LPWA network technologies and filtration technologies
Suggested the ways for consumer engagement and finalized the features of coolers
Assisted the project through supplier management, meetings and timely follow-ups with them

Problem Solving

Indian institute of management, lucknow

Data Analytics with Managerial Application

Jun 2017 – Jul 2017 · 1 mo · Remote

Skills acquired: R Programming, Concepts of Data Analytics, Statistics
Performed HBR case studies on Managing Employee Retention, MBA Starting Salaries, and Selection of Students for MBA on R Studio.
Completed project on Airline Industry “Premium Economy Vs Economy Ticket Pricing by Airlines” for comparison of seat prices on the basis of seat features.
Studied and deduced inference of “Taking of Managerial Decisions in hotel industry” on the basis of data taken from 42 different cities.

Problem Solving

Defence research and development organization

Calculation of Backup time and Design of Heat Exchanger

May 2017 – Jun 2017 · 1 mo · Greater Delhi Area · On-site

Calculated time for which Thermal Management System can work if the refrigeration cycle stops working
Studied behavioural analysis of temperature with time (using graph)
Calculated Overall Heat Transfer Coefficient of a system (LMTD Analysis)
Secured 97 / 100 marks during an internship period along with a recommendation letter.

Ashok leyland

Training effectiveness of newly established Skill Development Centre

Dec 2016 – Dec 2016 · 0 mo · India · On-site

Collected data and performed Repeatability & Reproducibility Time Study of tightening exercise of fasteners
Compared time taken by new apprentices for tightening exercise against standard time
Developed a concept of automatic speed measurement system in place of a manual system to achieve a walking speed of apprentice of 3miles/hr
Awarded a letter of recommendation after completion of an internship.

Techienest

Embedded C and Robotics

May 2016 – Jun 2016 · 1 mo · Greater Jaipur Area · On-site

Summer Industrial Training Programme on Embedded C and Robotics
Developed model of Traffic Light System. Line follower bot, and Wall follower bot
Developed concept of Fire Safety System by message transfer through GSM