Aastha Parmar
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Aastha Parmar Email & Phone Number

Machine Learning Engineer at Capgemini
Location: Mumbai, Maharashtra, India 7 work roles 5 schools
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✓ Verified July 2026 3 data sources Profile completeness 100%

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Current company
Role
Machine Learning Engineer
Location
Mumbai, Maharashtra, India
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Who is Aastha Parmar? Overview

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Quick answer

Aastha Parmar is listed as Machine Learning Engineer at Capgemini, a with 321265 employees, based in Mumbai, Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Aastha Parmar.

Aastha Parmar previously worked as Senior Software Engineer at Gray Matrix and Software Engineer at Itm - Independent Data Consultants. Aastha Parmar holds Master Of Business Administration - Mba, Information Technology And Systems Management from Nmims Global Access School For Continuing Education.

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Capgemini

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Profile bio

About Aastha Parmar

I'm Aastha Parmar, a Data Scientist with over 2 years of experience in software development and machine learning. I hold an MSc in Computer Science and an MBA in IT and Systems Management, giving me a strong foundation in data science, analytics, and software development.I'm proficient in Python and have a solid understanding of machine learning techniques, analytics, and statistical analysis. I've worked on various projects, including full-stack development for complex needs, using GPU to train algorithms, and using tools like Matplotlib and seaborn for data visualization. I've also worked on cybersecurity projects using virtual machines associated with Kali Linux to perform practicals.I'm currently a Software Engineer at ITM Mumbai, where I'm proficient in complex requirement gathering, creating technical design documents, and solving intricate problems. I've also worked as a Developer at Tata Consultancy services, where I led initiatives in data cleaning, structured with Talend/Python/Power BI for integrity, designed efficient pipelines, and translated business needs into enhanced data visualization.I've completed various certifications, including Mastering Data Science and Machine Learning Fundamentals on Udemy and Deep Learning specialization, Convolutional Neural Networks, and Crash Course on Python on Coursera.I'm passionate about data science and machine learning and am dedicated to staying up-to-date with industry trends and continuously enhancing my skills through self-learning and attending workshops/conferences.

Listed skills include Teaching, Python, Python Programming, Data Analysis, and 10 others.

Current workplace

Aastha Parmar's current company

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Capgemini
Capgemini
Machine Learning Engineer
Mumbai, MH, IN
Website
Employees
321265
AeroLeads page
7 roles

Aastha Parmar work experience

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Machine Learning Engineer

Mumbai, Mh, In

Software Engineer

1.Proficient in complex requirement gathering, creating technical design documents, and solving intricate problems.2. Skilled in writing clean code, testing rigorously, and fostering effective collaboration.3. Demonstrated adaptability with new technologies and a commitment to continuous growth.4. Focused on eliminating vulnerabilities through strategic remediation efforts.5. Worked on Technologies like C#, Delphi, C++, SQL, .Net, Pascal, AWS etc

Aug 2022 - Apr 2024

Trainee

1. Started as Trainee in software development, learned and completed various certifications in the journey of learning.2. Led initiatives in data cleaning, structured with Talend/Python/Power BI for integrity, designed efficient pipelines, and translated business needs into enhanced data visualization.3. Excelled in QA, ensuring software reliability via rigorous testing, defect identification, process optimization, and maintaining high standards for client satisfaction.4. Proven track record of collaborating with cross-functional teams to troubleshoot and resolve complex technical issues using new techniques5. Dedicated to staying up-to-date with industry trends and continuously enhancing skills through self-learning and attending workshops/conferences

Jan 2021 - Jul 2022

Machine Learning Intern

Here I worked on deep learning models that help recognizing objects and then building another model that helps, reduce the amount of training data required to train a specific Classification model.

Sep 2020 - Dec 2020

Research Intern

Kj Somaiya College Of Engineering

Mumbai, Maharashtra, India

Jun 2020 - Dec 2020
Team & coworkers

Colleagues at Capgemini

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5 education records

Aastha Parmar education

Bachelor Of Science In Information Technology, Information Technology, 8.5 Cgpa

Kj Somaiya College Of Science And Commerce

Activities and Societies: Maker Mela (International Event Organized by Riidl in KJ Somaiya Campus)

Higher Secondary Education, Science, 70%

Kj Somaiya College Of Science And Commerce

Secondary School Certificate, 86.21%

Kalina Education Society Hans Bhugra High School
FAQ

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What company does Aastha Parmar work for?

Aastha Parmar works for Capgemini.

What is Aastha Parmar's role at Capgemini?

Aastha Parmar is listed as Machine Learning Engineer at Capgemini.

Where is Aastha Parmar based?

Aastha Parmar is based in Mumbai, Maharashtra, India while working with Capgemini.

What companies has Aastha Parmar worked for?

Aastha Parmar has worked for Capgemini, Gray Matrix, Itm - Independent Data Consultants, Tata Consultancy Services, and Eduvance.

Who are Aastha Parmar's colleagues at Capgemini?

Aastha Parmar's colleagues at Capgemini include Varun Bhargava, Ravi Shaw, Joseph Erinjery, Ambica Jha, and Palaniyappan Kv.

How can I contact Aastha Parmar?

You can use AeroLeads to view verified contact signals for Aastha Parmar at Capgemini, including work email, phone, and LinkedIn data when available.

What schools did Aastha Parmar attend?

Aastha Parmar holds Master Of Business Administration - Mba, Information Technology And Systems Management from Nmims Global Access School For Continuing Education.

What skills is Aastha Parmar known for?

Aastha Parmar is listed with skills including Teaching, Python, Python Programming, Data Analysis, Information Technology, Neural Networks, Microsoft Excel, and Deep Neural Networks.

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