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Akshay Chaudhari

Associate Partner

Pune, Maharashtra, India11 yrs 6 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 7+ years of experience in data science.
  • Expertise in predictive analytics and machine learning.
  • Strong leadership in cross-functional team projects.
Stackforce AI infers this person is a Data Scientist with expertise in Fintech and Automotive industries.

Contact

Skills

Core Skills

Predictive AnalyticsModel DevelopmentMachine LearningData AnalysisExploratory Data Analysis

Other Skills

Critical ThinkingPythonCFDStatistical Data AnalysisStatisticsRisk ModelsData ModelsData ModelingBusiness DevelopmentTeam LeadershipBusiness RequirementsBusiness Process ImprovementBusiness InsightsData ScienceAnalytics

About

● A results-driven and initiative-taking adept data scientist with 7+ years of industry experience in the financial services and automotive domain. ● Committed to delivering high-quality work, I thrive in a dynamic environment and have excellent communication skills to explain complex research to both technical and non-technical audiences. Skills : ● Programming: Python | SQL | R ● Technical: Machine Learning | Feature Engineering | Computer Vision | NLP | Deep Learning | Statistical Testing ● Softwares/Tools: Databricks | Excel | PowerPoint | Jira ● Soft Skills: Presentations | Communication | Project Management | Team Lead | Analytical Skills | Quick Learner | Problem Solving | Adaptability | Strong Work Ethic

Experience

Exl

2 roles

Assistant Vice President

Promoted

Jul 2025Present · 8 mos · Pune, Maharashtra, India

Project Manager

Oct 2022Jun 2025 · 2 yrs 8 mos · Pune, Maharashtra, India

  • ● Developed application score model for underwriting customers for small ticket sized loans. The XGBoost model had a KS of 40.6 and was based on wallet spendings, savings account behavior and demographics of users.
  • ● Developed a deposits customer profiling model using Decision Tree model to identify lookalikes and target for cross-selling.
  • ● Streamlined and standardized Portfolio Quality metrics along with P&L methodology to evaluate RAR for key stakeholders’ review.
  • ● Leading a team of 3 to devise account management strategies like CLI / CLD / Blocking and contributed a net impact of ~18MM PHP for the client.
  • ● Streamlined bureau data ingestion process for the client by defining bureau data structure and parsing complex json files.
  • ● Developed model monitoring framework based on PSI/CSI analysis for early detection of shift in model performance.
Predictive AnalyticsCritical ThinkingModel Development

Bajaj auto ltd

CFD Manager

Jul 2019Sep 2022 · 3 yrs 2 mos · Pune, Maharashtra, India

  • ● Responsible for 3D & 1D engine simulations targeted at performance achievement, acoustics targeting, in-cylinder flow evaluation, spray targeting, fuel economy prediction, emissions reduction and external aerodynamics of Pulsar, Avenger, KTM brands & 3-wheelers.
  • ● Developed a deep CNN-based machine learning model to predict engine-out HC, CO, NOx emissions from 3D CFD combustion simulations with 92% accuracy.
  • ● Developed flask and python-based web-tool for standardization of WMTC test data analysis across testing & CFD departments.
  • ● Developed automated process for running 1D Wave and 3D ESICE setups.
  • ● Reduced file search time by 90% by developing a CFD dashboard using dash in python for space management of CFD servers and local drives.
Predictive AnalyticsModel Development

Honda r&d co., ltd.

3 roles

CFD Engineer, Engine Department

Feb 2017Jun 2019 · 2 yrs 4 mos

  • ● Worked in a multi-cultural and multi-lingual team as a CFD engineer for design and development of gasoline engine targeted for the Indian market.
  • ● Tasked with 3D and 1D CFD simulations for analysing in-cylinder flow and fuel injection, to develop correlation between CFD parameters and emissions.
  • ● Proposed fuel injector, intake port system and piston designs using CFD and Optimization technology targeting minimum emissions so as to meet BS6 emission norms.
  • ● Processed test results and compared with CFD, completed correlation study, improved CFD methodology for better accuracy.
  • ● Developed an emission (HC, PM/PN) prediction model using test and CFD results.
Exploratory Data AnalysisData Analysis

Engineering Trainee

Dec 2016Jan 2017 · 1 mo

  • ● Gained insight into the working of production line holding a capacity of manufacturing upto 800 world-class automobiles per day through hands-on training in white-body inspection department.
  • ● Proposed a workplace safety improvement suggestion as a part of 'kaizen' culture and inhibited a possible cause of accident at the production line.

Global Associate Trainee

Jul 2016Nov 2016 · 4 mos

  • ● Developed Japanese language skills upto professional working level for effective communication in a technical environment.
  • ● Gained insight into Japanese corporate culture, Honda's company history and its vast product lineup along with the application of Japanese 5S methodology.

Ryerson university

Research Assistant

May 2015Jul 2015 · 2 mos · Toronto, Ontario, Canada

  • Project - Numerical Modelling of Centreline Soot Volume Fraction in Laminar Co-flow Diffusion Flames.
  • Conducted research to address the inscrutable discrepancy between experimental and
  • computed centreline soot volume fraction in laminar co-flow diffusion flames.
  • Reviewed literature pertaining to soot formation/oxidation in laminar coflow diffusion flames and
  • familiarized with pre-existing FORTRAN based parallel programming model for soot prediction.
  • Proposed hypotheses based on thermal diffusion, chemical kinetics and soot formation mechanism, implemented them by modifying existing soot model code.

Indian institute of technology, kanpur

2 roles

Research Assistant

May 2014Jul 2014 · 2 mos · Kanpur Nagar, Uttar Pradesh, India

  • Project - Tire Modelling
  • Conducted experimental research on micro-slip responses of tires under lateral forces.
  • Slip angle measurements were made by conducting experiments on distinct bicycles and a 3-parameter fit was found for the data using MATLAB.
  • Derived a relation between slip angle, normal force, lateral force and speed of tire that applies to small slip angles for vertical tires moving at low speeds.

Powertrain Engineer, Formula SAE

Dec 2013Apr 2016 · 2 yrs 4 mos · Kanpur Nagar, Uttar Pradesh, India

  • Aimed at designing and fabricating a formula – style race car for the competition Formula Student
  • India, an international collegiate design competition.
  • Manufactured the lightest Indian Formula Student IC engine car. (Car Weight – 181 kg)
  • Designed the intake and exhaust system by performing CFD analysis using ANSYS and simulations in Ricardo WAVE, designed and manufactured transmission components (drive axles and CV joints), differential mounts and fuel tank of the car.
  • Worked on engine wiring harness of Royal Enfield and KTM engine.
  • Manufactured carbon fiber nose cone, seat, floorpan and steering wheel reducing their weight by 80%.
  • Designed and manufactured fixtures for assembling the chassis of the car.

Education

Northwestern University

Master of Science - MS — Data Science and Artificial Intelligence

Sep 2021Mar 2023

Indian Institute of Technology, Kanpur

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

Jan 2012Jan 2016

Sardar Vallabhbhai Patel Vidyalaya

Higher Secondary Certificate (HSC)

Jan 2010Jan 2012

Rustomjie International

CBSE 10th Grade

Jan 2001Jan 2010

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