Aakash Tuteja

AI Researcher

Gurugram, Haryana, India5 yrs 6 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Over 5 years of experience in data science.
  • Expertise in machine learning and predictive modeling.
  • Proven track record of impactful project delivery.
Stackforce AI infers this person is a Data Science professional with a focus on SaaS solutions and predictive analytics.

Contact

Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Data AnalysisPredictive ModelingComputer VisionPythonWeb Scraping

Other Skills

AlgorithmsAnalytical SkillsAnalyticsArtificial Neural NetworksAutomationBeautiful SoupBusiness MetricsCommunicationComputer ProgrammingComputer ScienceCross-functional Team LeadershipData AnalyticsData ArchitectureData MiningData Products

About

Data Science Professional with over 5 years of hands-on experience building a foundation of knowledge and expertise in the field. Certified in Gen AI, Machine Learning, MySQL, Python, and Data Analysis, with a proven track record of implementing these skills along with Cloud, Containers, Kafka, Automation, and CICD solutions to drive data-driven decisions and optimize processes. Successfully collaborated with cross-functional colleagues in internal teams to deliver impactful projects. A problem-solver who is passionate about leveraging data to solve complex challenges.

Experience

5 yrs 6 mos
Total Experience
5 yrs 6 mos
Average Tenure
5 yrs 6 mos
Current Experience

Volvo eicher commercial vehicles

6 roles

Lead Data Scientist

Promoted

Apr 2025Present · 1 yr 2 mos

  • Role-Aware Natural Language Query Engine Using RAG for Secure, Hallucination-Controlled Data Retrieval and Visual Reporting for internal teams to access our databases with proper guardrails.
  • Developing a prediction model for financer team to predict the customer profile that could potentially default in payments in upcoming months. Customer profile creation for EMI planning.
Natural Language Processing (NLP)Data RetrievalVisual ReportingMachine Learning

Senior Data Scientist

Apr 2024Mar 2025 · 11 mos

  • Working on developing forecasting models for inventory stock out prediction and reduction of VOR order cases to improve part stock management and cost saving.
  • Part failure prediction without the need for installing a separate sensor for each part, using driving behavior data.
Predictive ModelingNatural Language Processing (NLP)Cross-functional Team LeadershipMachine Learning

Data Scientist - II

Promoted

Apr 2022Mar 2024 · 1 yr 11 mos

  • Created an algorithm to efficiently detect fillings and pilferages happening in a commercial vehicle with detection accuracy of ~99% and estimation accuracy of ~95%.
  • Fuel Advisory services by learning the driving behaviors and giving recommendations to the drivers to improve vehicle's Fuel efficiency & health and better trip planning to save cost.
Machine Learning AlgorithmsDeep LearningComputer VisionMachine Learning

Data Scientist - I

Promoted

Aug 2021Mar 2022 · 7 mos

  • Intelligent trip tracking and hotspot detection (for better trip planning to save operations cost)
  • ML Ops setup for already developed models.
Data AnalysisMachine LearningExploratory Data Analysis

Data Scientist - GET

Aug 2020Jul 2021 · 11 mos

  • Exploratory Data analysis
  • Automated Dashboards (Python programming, Linux, GitHub)
  • Grafana and Log DNA setup
Python (Programming Language)Data AnalysisExtract, Transform, Load (ETL)Python

Data Science Intern

Feb 2020Jul 2020 · 5 mos

Data ArchitectureNoSQLCommunication

Edugrad

Product Data analyst Intern

Jun 2019Jul 2019 · 1 mo · H - 85, 3rd floor, Sector 63, Noida, Uttar Pradesh, 201301

  • Course material creation for SVM and K-Means.
  • We scrappers for Chatbot corpus
  • Automation projects for course material.
Python (Programming Language)Machine Learning AlgorithmsWeb Scraping

Education

Manav Rachna Educational Institutions

Bachelor of Technology - BTech — Computer Science

Jan 2016Jan 2020

St. Mary's Convent School

Class 12 — Non - medical

Nov 2003Jan 2016

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