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Achintya Gupta

AI Researcher

Delhi, India7 yrs 9 mos experience

Key Highlights

  • Nearly a decade of experience in ML and Data Science.
  • Led teams of 20+ to deliver impactful data science projects.
  • Expertise in Computer Vision and Credit Risk Modelling.
Stackforce AI infers this person is a Data Science expert with a strong focus on ML applications in Fintech and Healthcare.

Contact

Skills

Core Skills

Data SciencePerformance ManagementClient EngagementCredit RiskPredictive ModellingImpact DrivenStakeholder ManagementComputer VisionTeam ManagementMachine Learning

Other Skills

AnalyticsCPG IndustryCausal AnalysisCommercial Spend optimisationCommunicationData AnalysisData ModelsDecision TreesDeep LearningEngagement ManagementField TrainingFleet Sizing optimisationGLMHiringInsight Generation

About

ML & Data Science professional with nearly a decades experience. Experienced in Computer Vision, Credit Risk Modelling, Transaction Analytics, Spend Optimisation, Fraud Detection & Optimal Portfolio Pricing. My work in computer vision corresponds to building recognition systems (sometimes from scratch), localisation and segmentation, generative AI etc. Worked in O&G sector for Vessel Capacity Planning for Upstream operations and Chemical Demand Planning. Impact driven. Loves to solve problems and implement research paper from time to time. Learning quantum computing. Currently focused on driving impact for my clients ranging in - Retail, Manufacturing, Pharma and Banking Sector. Have led 20+ member teams to deliver data science projects.

Experience

7 yrs 9 mos
Total Experience
2 yrs 2 mos
Average Tenure
1 yr 9 mos
Current Experience

Akaike technologies

Principal Data Scientist

Sep 2024Present · 1 yr 9 mos · Bengaluru, Karnataka, India · On-site

  • Revamping the Hiring & Performance Management
  • Managing growth of 10+ team members.
  • Primarily working in Life Sciences.
Data ScienceHiringKnowledge ManagementPerformance ManagementNew Business Development

Quantumblack, ai by mckinsey

2 roles

Sr. Data Scientist

Promoted

Nov 2022Sep 2024 · 1 yr 10 mos · Gurugram, Haryana, India

  • Client Engagements :
  • Oil & Gas : Fleet Sizing optimisation solution, reducing the OPEX by 30+Mn/year
  • Oil & Gas : Value Chain Forecasting of Polyethylene Business.
  • Lifesciences : Total Commercial Spend optimisation for commercial arm with sales uplift on > 25%.
  • Metal Manufacturing : Led and developed, a solution for tracking anodes in aluminium plant for a quality check and assurance use case.
  • Research & Development
  • Data Synthesiser : A python package, to generate mimicry of real world dataset using Bayesian Networks to learn not just feature level distribution, but also intra-feature distribution.
  • Transaction Analytics : A transaction analytics product, to process, categorise transactions in banks; Empowering downstream use cases - for ex : Anomaly Detection.
Client EngagementFleet Sizing optimisationValue Chain ForecastingCommercial Spend optimisationTracking anodes solutionData Science

Data Scientist

Jan 2022Nov 2022 · 10 mos · Gurugram, Haryana, India

  • Client Engagements :
  • FIG Practice : Developed Credit Risk Models for NBFC and Banks, across segments such as MSME, Retail Loans; Improving the GINI by 40+ %.
  • FIG Practice : Contributed in streamlining, digitising the underwriting process of the clients.
  • Research & Development
  • PySlice : A python asset to reduce the development of credit risk models from 4 months to less than 1 month;
  • QBicK : A python package, easy to use api for quantum computing implementation of classical machine learning algos such as SVM, Spectral Clustering etc.
Credit RiskPredictive ModellingCausal AnalysisTop Down CommunicationQuantum Computing

Mckinsey & company

Sr. Data Scientist

Jan 2022Sep 2024 · 2 yrs 8 mos · Gurugram, Haryana, India · On-site

  • Industries I worked - Metal Manufacturing, Life Science,Banks, NBFC, Oil & Gas.
  • Worked across South East Asia, LATAM & Middle East geographies.
Impact DrivenSenior Stakeholder ManagementEngagement ManagementStakeholder Management

Roadzen

Data Scientist

Jul 2020Jan 2022 · 1 yr 6 mos · New Delhi, Delhi, India · On-site

  • Here is where I learned to manage a small team of Jr DS’s and a team of Annotators.
  • Developed Computer Vision solutions to bring down the TAT and OPEX of our ground operations. Developed Novel OCR systems to extract text from natural images, implementing few research papers. Contributed to multiple in-house assets (like PIP packages) around deep learning models (when pre-built frameworks such as PyTorch lightning etc were not that huge) from data ingestion to model monitoring and a small script to dockerize and deploy light weight models.
PythonComputer VisionTeam ManagementImpact DrivenResearch and Development (R&D)

Nissan motor corporation

AI Engineer

Aug 2018Jun 2020 · 1 yr 10 mos · Thiruvananthapuram Taluk, India · On-site

  • Learned the ropes of data science here.
  • Worked in Core Data Science & Innovation CoE. In core data science, built the Retail & Demand Forecasting models for NNA and Japan market across various models leveraging internal as well as external sources, optimising inventory and reducing OPEX, Predictive maintenance for the shop floor of motors to lower the incidence rates etc. In the innovation verticals, designed and implemented prototypes across - Customer Experience enhancement - how customers were interacting with Kiosks, Product Planning Tool to bring down the TAT in planning process etc.
PythonPredictive ModellingDeep LearningMachine LearningStatistical AnalysisPresentation Skills

Ey

Risk Management Intern

Jun 2017Aug 2017 · 2 mos · Gurugram, Haryana, India · On-site

  • My first big corporate exposure. Mapped to the IT Risk Advisory Team, collecting data of various firms of interest and building an App on top of the same.
Data AnalysisData Models

Appinventiv

Intern

Jun 2016Aug 2016 · 2 mos · Noida, Uttar Pradesh, India · On-site

  • My first startup stint, learned about swift programming and iOS app development.
ProgrammingCommunication

National hydro-electric power corporation

Industrial Training

Jul 2015Jul 2015 · 0 mo · India · On-site

  • My “office” was in an underground control station in a basin surrounded by mountains on three fronts and the tail race from the Chamera Dam on the fourth. Shadowed few brilliant electrical engineers, learned a bit about PLC based online data monitoring systems & big turbines which generate hydroelectricity from them.
Field Training

Education

Jamia Millia Islamia

Bachelor of Technology (B.Tech.) — Electrical Engineering

Jan 2014Jan 2018

Indira Gandhi National Open University

Postgraduate Degree — Applied Statistics

Jun 2020Jun 2022

2021 Qiskit Global Summer School on Quantum Machine Learning

Certificate of Quantum Excellence

Jul 2021Aug 2021

Institute of Actuaries of India

Actuarial Science

Jan 2015Present

Seth Anandram Jaipuria School

High School Diploma — Science

Jan 2010Jan 2014

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