Abhishek Raj

AI Researcher

Gurugram, Haryana, India7 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 7 years of experience in AI/ML-driven solutions.
Expertise in Generative AI and predictive analytics.
Strong proficiency in Python and SQL for data science.

Stackforce AI infers this person is a Data Scientist specializing in AI/ML solutions for Retail and Industrial sectors.

Contact

abhishek1995raj@gmail.com LinkedIn

Skills

Core Skills

Machine LearningData Analytics

Other Skills

Adobe PhotoshopAnalytical SkillsBusiness DevelopmentCClient RelationsControl Systems DesignCore MLCustomer AnalyticsCustomer Relationship Management (CRM)Customer RetentionCustomer SatisfactionDemand ForecastingGenAIHAZOP StudyHMI Configuration

About

Experienced Data Scientist with over 7 years of expertise in delivering AI/ML-driven solutions across retail, pharma, and industrial domains. I specialize in building scalable models for forecasting, marketing analytics, predictive maintenance, and generative AI applications. Skilled in traditional Machine Learning, Deep Learning, and cutting-edge Generative AI techniques, including LLMs and RAG (Retrieval-Augmented Generation) architectures. I bring strong hands-on proficiency in Python, SQL, and tools like scikit-learn, XGBoost, TensorFlow, LangChain, and Power BI. Known for blending analytical thinking with business context to solve complex problems, drive automation, and generate measurable impact. Always curious, always learning — focused on staying at the forefront of applied data science and GenAI innovation

Experience

Tredence inc.

Associate Manager- Data Science

Oct 2024 – Present · 1 yr 5 mos · Gurugram, Haryana, India · Hybrid

Led weekly store-item level demand forecasting for a large retailer, including modeling for new stores and new items.
Developed customer analytics solutions including churn prediction, CLTV modeling, product recommendations, and offer propensity scoring for personalized marketing.
Implemented GenAI-powered solutions using RAG (Retrieval-Augmented Generation) architecture to support customer insight generation.
Built and deployed Marketing Mix Models at brand × channel × region level to quantify ROI and optimize media spend allocation.

Retrieval-Augmented Generation (RAG)GenAICustomer AnalyticsMarketing Mix ModelsDemand ForecastingPredictive Maintenance+2

Axtria - ingenious insights

Senior Associate - Decision Science

May 2023 – Oct 2024 · 1 yr 5 mos · Gurugram, Haryana, India · Hybrid

Fractal

Data Scientist

Dec 2020 – May 2023 · 2 yrs 5 mos · Gurugram, Haryana, India · Hybrid

Developed predictive analytics models to help asset-heavy industries such as oil & gas, metals, and mining achieve greater asset reliability and overall process sustainability."

Predictive AnalyticsMachine LearningPython (Programming Language)SQL

Cairn oil and gas

2 roles

Project Manager

Jul 2019 – Nov 2020 · 1 yr 4 mos

Responsible to deliver Instrumentation deliverable for Integrated Satellite Projects consisting 27 different wells pad and around 50 wells, producing around 11000 Barrels of oil per Day. Roles Includes FEED to detailed Engineering to control system Designing to Interface with internal and external stakeholder and EPC Companies.
Executed RAAG WP-01 to RGT Pipeline Project on role of Project Engineer cum Instrumentation Engineer. My Role includes Planning, strategy, Procurement and Project Management. I shall be responsible for start to end of project Execution Starting from Engineering, Procurement, Construction till Commissioning. My role also Includes delivering Instrumentation Deliverable. It includes FEED,Detailed Engineering, Control system Designing to Interface with internal and external stakeholder and EPC Companies.

Graduate Engineering Trainee

Sep 2018 – Jun 2019 · 9 mos

Executed SARA 4-SARA 2 Pipeline project as a Project Engineer, producing 700 barrels of oil per day and hooking with central Processing Facilities. My Role includes Planning, strategy, Procurement and Project Management. I shall be responsible for start to end of project Execution Starting from Engineering, Procurement, Construction till Commissioning.