Pratik Gujral

AI Researcher

New Delhi, Delhi, India13 yrs 5 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in marketing attribution modeling and demand forecasting.
  • Led a team of Data Scientists with high client satisfaction.
  • Awarded for exemplary technical skills and code quality.
Stackforce AI infers this person is a Machine Learning Engineer specializing in Marketing Intelligence and Data Science.

Contact

Skills

Core Skills

Machine LearningData ScienceForecasting

Other Skills

AWSAnalyticsApache SparkArtificial Intelligence (AI)Causal AnalysisCausal InferenceCode ReviewData AnalyticsData EngineeringData MiningData ModelingData VisualizationData WranglingDataiku DSSDeep Learning

About

In lord, I trust; all others must bring data. A human with 31 years of experience in life. Having 9+ years of corporate experience, currently, I'm working as a Senior Machine Learning Engineer in the area of marketing intelligence. I am completely hands-on as an individual contributor, but managing a team of four Data Scientists a well. My diverse experience across domains involves working on marketing attribution modeling, demand forecasting, time-series analysis, connected cars, and Telemetry data analysis for insurance.

Experience

Fractal

Senior Data Scientist

Aug 2022Present · 3 yrs 7 mos · Gurugram, Haryana, India · Remote

  • ★ Developed & deployed end-to-end multi-touch attribution marketing pipeline, calculating the contribution of every touchpoint in a customer journey leading to conversion. Highly scalable LSTM-attention-based model attributes $130B+ revenue across 400M+ touchpoints from 65+ channels in 12M+ customer journeys, achieved >91% recall. The solution replaced rule-based systems, enabling budget optimization, improve ROI, & targeted sales/marketing initiatives. Perform code reviews, fix performance issues, and QC tests to validate results.
  • ★ Built & deployed to production XGBoost model on AWS on GA4 clickstream data predicting form fills from users’ web activity
  • ★ Engineered highly scalable vectorized code and dataset sharding strategies to speed up over 12x pipeline execution time, distributed architecture for parallelize-able pipeline execution on AWS Sagemaker
  • ★ Causal ML: Quantify impact of events via uplift models, propensity score matching, and customer journey analysis for quantifying performance of marketing campaigns through customer engagement.
  • ★ Conducted 15+ technical interviews for project hiring; Client’s NPS >94- among the highest across the organization
  • ★ Awarded the Star Award for showcasing exemplary technical skills, focus on delivering high-quality code
  • ★ Reporting Manager for 4 Data Scientists- responsible for goal setting, supervision, mentoring, conducting reviews, and career progression
Fine TuningCode ReviewData VisualizationNeural NetworksPythonMachine Learning Algorithms+18

Dalmia bharat group

Data Scientist

Mar 2021Jul 2022 · 1 yr 4 mos · New Delhi, Delhi, India · On-site

  • I primarily work on time series forecasting / modeling and mathematical programming optimization problems such as
  • Monthly demand forecasts for production planning
  • Daily demand forecasts for logistics planning
  • Vehicle routing optimization, journey planning at scale
  • Dynamic order-truck matching (knapsacking + bin-packing)
  • Energy-use minimization
  • Mixing of raw material to achieve desired concrete compressive strength while minimizing material cost
Fine TuningMachine Learning AlgorithmsAnalyticsForecastingStatistical ModelingArtificial Intelligence (AI)+3

Maruti suzuki india limited

3 roles

Deputy Manager - Connected Cars

Jan 2020Mar 2021 · 1 yr 2 mos

  • ★ Driving Behaviour Based Insurance:
  • Built driving behavior profiles for insurance by performing data cleaning in PySpark on AWS EMR, EDA, anomaly detection, and feature engineering computing events of harsh acceleration, braking, over-speeding, seat belt usage, driving time, road type, and used past accident and workshop repairs data. Trained hierarchical clustering model to classify vehicles into different risk categories, which is used to calculate insurance premium discounts.
  • ★ Set Up Data Lake and Layered Data Architecture:
  • Architected a unified platform for data analysis by setting up a multi-layer architecture integrating vehicle IoT data, CRM, Workshops repair datasets on AWS and IBM Cloud. Setup Spark jobs for incremental data load into data lake
  • ★ Dealer Management System Analysis:
  • Identified customer pain points by analyzing vehicle repairs data finding patterns in automotive components that require frequent repair and maintenance
Machine Learning AlgorithmsAnalyticsArtificial Intelligence (AI)Pandas (Software)Data Science

Assistant Manager (Data Analytics), Research & Development

Jul 2017Sep 2020 · 3 yrs 2 mos

  • As a Data Scientist, my work includes:
  • ★ Set up AWS data lake, perform data discovery & profiling, project feasibility on datasets generated over 4 decades
  • ★ Develop efficient & scalable scripts for cleaning of IoT data collected from Suzuki Connect telematics unit
  • ★ Enable data-driven decisions for customer research from vehicle ownership, usage patterns, and maintenance attitude on data sourced through multiple channels
  • ★ Developed Python package for distributed vehicle data analysis to reduce development time using PySpark
  • ★ Perform vehicle health prognostics by modeling various parameters from vehicles and their service history
  • ★ Build proofs-of-concept for Advanced Driving Assistance Systems (ADAS).
  • ★ Improved efficiency and reduced manpower requirement in analyzing vehicle testing results from R&D labs of vehicle testing teams by creating dashboards and automated reports
  • ★ Reduced ECU validation time by 60% by creating an automation framework for rigorous functional testing of Body Control Module (BCM) on dSPACE Hardware-In-Loop (HIL) testing systems.
  • ★ Reduced CAN diagnostic test duration of BCM by 95% by automating on Vector Informatik software stack.
  • ★ As an Electromagnetic Compatibility (EMC) Test Engineer, my key responsibilities included:
  • New Model Development Testing:
  • ⠀• Execute EMI / EMC tests on Maruti Suzuki models as per AIS-004 (3) regulations and Suzuki Engineering Standards
  • ⠀• Perform data analysis on observations and reporting of results to design teams
  • ⠀• Consultation to all design teams to ensure good EMC performance of electronic components
  • ⠀• PROJECTS: Maruti Ertiga, Maruti Vitara Brezza, Maruti SCross Maruti Ciaz, Maruti Ignis, Maruti Baleno, Maruti WagonR, Maruti Eeco, Maruti Alto, Maruti Super Carry, All BS VI models, and more

Graduate Engineering Trainee

Jul 2016Jun 2017 · 11 mos

  • As a recruit to the organization,
  • ⠀• Developed skills in CAN bus, ECU software, HILS, and EMI-EMC testing
  • ⠀• Underwent two months of rotational training across all verticals- Engineering, Production, Supply Chain, Sales and Marketing, Logistics, Spare parts & Accessories divisions
  • ⠀• 3 months of on-job training in Production- Managed production line that produces engine camshafts for Maruti Celerio and Super Carry
  • ⠀• Skill-up training programs on MATLAB, Siemens NX, capital and revenue budget planning.
  • Activities included:
  • ⠀• Project on automation of vehicle CAN functional testing on HILS
  • ⠀• Project on automation of vehicle CAN diagnostic testing using software stack from Vector
  • ⠀• Support to Telematics team for driving behavior analytics
  • ⠀• ECU software re-flashing

Fis

Intern

Jun 2016Jul 2016 · 1 mo · Gurgaon, India

  • Contributed to building a time-series production model (using ARIMA, Holt Winters) for predicting ATM transactions for all leading banks across India.
  • Language / Frameworks: R, SQL

Maruti suzuki india limited

Summer Intern

Jun 2015Jul 2015 · 1 mo · Gurgaon, India

  • PROJECT: MSIL Catalogue
  • MSIL Catalogue was an application for the Windows Phone platform published to the Windows Store.
  • The app showcased the entire range of cars from Maruti Suzuki India Limited, listed features of the cars across variants, and prices for different Indian cities, scrapping data from the company's official website.
  • (The app is no longer listed on the Windows store)

Microsoft

Microsoft Student Partner

Sep 2014Jun 2016 · 1 yr 9 mos

Leaders for tomorrow

College Head

Aug 2012Jun 2016 · 3 yrs 10 mos

Education

Indian Institute of Technology, Delhi

Master of Science - MS — Computer Science

Jan 2022Jan 2025

Indraprastha Institute of Information Technology, Delhi

PG Diploma in Data Science & AI

Aug 2021May 2022

Guru Gobind Singh Indraprastha University

Bachelor of Technology (B.Tech.) — Electronics and Communication Engineering

Jan 2012Jan 2016

St. Francis de Sales

Jan 1998Jan 2012

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