Aakash Rajbhar

Data Scientist

Mumbai, Maharashtra, India3 yrs 8 mos experience
Highly StableAI Enabled

Key Highlights

  • Over 3.5 years of data science experience
  • Expert in machine learning and deep learning
  • Strong analytical skills with a business acumen
Stackforce AI infers this person is a Data Science professional with expertise in machine learning and analytics.

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Skills

Core Skills

Data ScienceMachine Learning

Other Skills

Deep LearningPython (Programming Language)Data AnalysisFeature EngineeringAPI DevelopmentData CleaningNatural Language Processing (NLP)Gen AILarge Language Models (LLM)Analytical SkillsMicrosoft ExcelSQLCommunicationDatabase Management System (DBMS)EDA

About

Data Scientist at Fractal Analytics India Ltd. With over 3.5 years of hands-on experience in leveraging machine learning, deep learning, and data analytics to unlock valuable business insights and drive data-driven strategies. Adept at transforming complex datasets into actionable intelligence through cutting-edge algorithms and innovative analytical approaches. Passionate about blending technical skills and business acumen to develop solutions that not only solve problems but also add strategic value. Thrives in collaborative environments, always eager to learn and push the boundaries of what data science can achieve.

Experience

3 yrs 8 mos
Total Experience
3 yrs 3 mos
Average Tenure
5 mos
Current Experience

Fractal

Data Scientist

Nov 2025Present · 5 mos · Mumbai, Maharashtra, India · Hybrid

Data ScienceDeep Learning

Quantum data engines

Software Engineer - Data Science

Aug 2022Nov 2025 · 3 yrs 3 mos · Navi Mumbai, Maharashtra, India · On-site

  • Software Engineer - Data Science at Quantum Data Engines Pvt LTD
  • Roles and Responsibilities:
  • Developed and deployed machine learning Models, leveraging both supervised and unsupervised
  • learning algorithms.
  • Conducted comprehensive exploratory data analysis (EDA) to create data-centric features and improve
  • model performance, ensuring high accuracy and robust predictions.
  • Automated data workflows and designed scalable APIs to support integration with frontend
  • applications, enabling real-time analysis and visualization.
  • Enhanced existing models by fine-tuning parameters and optimizing algorithms to reduce false positives and detect anomalies with higher precision.
  • Led the migration and maintenance of ML models and infrastructure.
  • Implemented robust data preprocessing pipelines and feature extraction techniques to ensure clean and high-quality datasets, enabling more accurate model predictions and better performance.
  • Built deployment pipelines for model updates without disrupting ongoing processes, enabling
  • continuous integration and development in production environments.
Python (Programming Language)Machine Learning

Education

University of Mumbai

Bachelor of Science - BS — Information Technology

Jan 2018Jan 2021

ExcelR Solution

Certification in Data science & Analytics — Data Science

Aug 2021Jan 2022

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