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Rushikesh Pardeshi Email & Phone Number

Immediate Joiner | Data Scientist | Machine learning | Deep Learning | NLP | Gen Ai at Aspire Systems
Location: Bengaluru, Karnataka, India 2 work roles 1 school
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✓ Verified August 2026 3 data sources Profile completeness 86%

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Role
Immediate Joiner | Data Scientist | Machine learning | Deep Learning | NLP | Gen Ai
Location
Bengaluru, Karnataka, India
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Rushikesh Pardeshi is listed as Immediate Joiner | Data Scientist | Machine learning | Deep Learning | NLP | Gen Ai at Aspire Systems, a with 2768 employees, based in Bengaluru, Karnataka, India. AeroLeads shows a matched LinkedIn profile for Rushikesh Pardeshi.

Rushikesh Pardeshi previously worked as Data Scientist at Aspire Systems and Data Scientist at Mirafra Technologies. Rushikesh Pardeshi holds Bachelor Of Engineering - Be, Computer Science, First Class from Savitribai Phule Pune University.

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Aspire Systems

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About Rushikesh Pardeshi

Experienced Data Scientist with over 4 years of background in Data Science, I leverage expertise in predictive analytics, statistical modeling, and emerging technologies such as generative AI, machine learning, and deep learning to drive data-driven decision-making. By developing innovative strategies and delivering actionable insights, I help organizations achieve business-critical goals, optimize performance, and navigate complex data landscapes.

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Aspire Systems
Aspire Systems
Immediate Joiner | Data Scientist | Machine learning | Deep Learning | NLP | Gen Ai
chennai, tamil nadu, india
Website
Employees
2768
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2 roles

Rushikesh Pardeshi work experience

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Data Scientist

Current

Bengaluru, Karnataka, India

. Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOpsprocesses, including model deployment and data pipelines.· Closely collaborate with business stakeholders to implement AI driven product components and func-tionality.· Communicates findings and obstacles to team members to achieve best approach. Ability to write aclean and production code with Object Oriented Programming in Python.· Used Git as source code management tool:… Show more . Establish and extend tools to automate our Data Science Tech Stack to continuously enhance MLOpsprocesses, including model deployment and data pipelines.· Closely collaborate with business stakeholders to implement AI driven product components and func-tionality.· Communicates findings and obstacles to team members to achieve best approach. Ability to write aclean and production code with Object Oriented Programming in Python.· Used Git as source code management tool: creating local repo, cloning the repo, adding, committing,pushing the changes in the local repo, saving changes for later (Stash), recovering files, branching,creating tags,etc.· Conducting data analysis, preprocessing, and modeling to extract valuable insights and built a modelbased on LLM , Fine- tuning and validate result with other train model.· Drive end-to-end ML/AI product developments with a team. Transform train Machine learning modelto production grade capabilities in collaboration with engineering teams.· Execute experiments to test the performance, resilience, and adaptability of machine learning/deeplearning models, employing suitable metrics and statistical methods for result interpretation.Design, develop, and deploy production-grade APIs that are fast, reliable, and secure, ensuring high-quality code that meets the highest standards of quality and reliability Show less

Feb 2024 - Present

Data Scientist

Bengaluru, Karnataka, India

. Designed scalable NLP models for production using MongoDB, AWS , and advanced techniques like RNNs and LSTM , spacy , BERT , T5 , OpenAI , Gemini Pro , Gemini Vision, hugging face library .. Vector Database - Pinecone , Chroma db . Langchain , LLama Index. Text Generation , Text Translation , Data Extraction , RAG , Question & Answering . fine-tuned LLM models likeT5 , OpenAI , LLama 2 , Gemini Pro , Gemini Vision, hugging face library for enhanced accuracy and evaluate… Show more . Designed scalable NLP models for production using MongoDB, AWS , and advanced techniques like RNNs and LSTM , spacy , BERT , T5 , OpenAI , Gemini Pro , Gemini Vision, hugging face library .. Vector Database - Pinecone , Chroma db . Langchain , LLama Index. Text Generation , Text Translation , Data Extraction , RAG , Question & Answering . fine-tuned LLM models likeT5 , OpenAI , LLama 2 , Gemini Pro , Gemini Vision, hugging face library for enhanced accuracy and evaluate model performance.. Collaborate with Research and Development resources to define and scope data science solutions.· Manipulate and clean data (exploratory data analysis), build new features (feature engineering), per-form feature selection and model selection, and implement production-ready models.· Participate in model and code reviews and contribute to a team consistently shipping new or updatedanalytics solutions.· Implement best practices for MLOps, including model versioning, testing, monitoring, and deploymentin production environments using CI/CD pipelines.· Define and implement metrics that will track model performance over time to identify risks and oppor-tunities.· Define and implement metrics that will track model performance over time to identify risks and oppor-tunities.· Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and inte-grate software into different repositories for core system compatibility. Show less

Aug 2020 - Feb 2024
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Rushikesh Pardeshi education

FAQ

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What company does Rushikesh Pardeshi work for?

Rushikesh Pardeshi works for Aspire Systems.

What is Rushikesh Pardeshi's role at Aspire Systems?

Rushikesh Pardeshi is listed as Immediate Joiner | Data Scientist | Machine learning | Deep Learning | NLP | Gen Ai at Aspire Systems.

Where is Rushikesh Pardeshi based?

Rushikesh Pardeshi is based in Bengaluru, Karnataka, India while working with Aspire Systems.

What companies has Rushikesh Pardeshi worked for?

Rushikesh Pardeshi has worked for Aspire Systems and Mirafra Technologies.

Who are Rushikesh Pardeshi's colleagues at Aspire Systems?

Rushikesh Pardeshi's colleagues at Aspire Systems include Saikiran Munipala, Sathya Sarathi, Marimuthu V, Sasidhar S, and Kodhai Lakshmi.

How can I contact Rushikesh Pardeshi?

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What schools did Rushikesh Pardeshi attend?

Rushikesh Pardeshi holds Bachelor Of Engineering - Be, Computer Science, First Class from Savitribai Phule Pune University.

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