Aakash Bhamare Email & Phone Number

Highlights: A Senior Data Scientist with around 4 yrs experience in Predictive analytics, Machine Learning, NLP, AI. proficient in Python, SQL, Statistics, EDA, Visualization and BI Story Telling. Expertise in leading analytical projects, fostering cross-functional data-driven decisions.About Me:1) Proficiently handled structured and unstructured data from diverse sources, improving data stream analysis.2) Proficient in Various Machine Learning Models: Demonstrated proficiency in a wide range of machine learning models including linear regression, decision trees, support vector machines, neural networks, etc., through successful application in various projects.3) Accurate Predictive Modelling: Skilled in developing precise predictive models leveraging diverse datasets, leading to accurate forecasts and classifications, as evidenced by consistent high-performance models.4) Strategic Data Analysis: Proficient in conducting comprehensive and insightful data analysis, extracting actionable insights that drive informed decision-making and business strategies.5) Building Robust Models: Expertise in constructing robust machine learning models that exhibit superior performance on diverse datasets, ensuring stability and reliability in real-world scenarios.6) Business Value Creation: Demonstrated ability to leverage machine learning to add substantial value to business operations, optimizing processes, and enhancing overall performance.7) Projects in Machine Learning: Proficiently apply machine learning concepts in numerous projects, showcasing a passion for innovation and self-driven learning in the field.8) Adept in specialized domains like Reinforcement Learning, Natural Language Processing (NLP), and Deep Learning, applying these techniques effectively in real-world contexts.9) Utilized NLP expertise to create text classification, topic modelling, text summarization, incorporating modern language models like varients of BERT, XLNET, and T5.10) Skilled in utilizing advanced techniques such as Dimensionality Reduction (e.g., PCA, t-SNE), improving model efficiency and accuracy in high-dimensional data environments.11) Model Selection Proficiency: Sound knowledge of diverse machine learning models and their suitability for various problem types, facilitating the selection of the most appropriate model for specific tasks.12) Ensemble Modelling Skills: Proficient in building and integrating diverse machine learning models to develop effective ensemble models, solving complex problems by combining the strengths of multiple approaches.

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  Data Scientist

  Dure Technologies

  Apr 2024 - Present - Mumbai, Maharashtra, India