Hritika Ranadhir
@hritikaranadhir
Innovative AI and Data Engineering professional with proven problem-solving skills.
What I'm looking for
I am an innovative and analytical engineer with 2.8 years of experience in developing intelligent systems through machine learning, algorithm design, and automation. My expertise lies in building end-to-end data pipelines and translating complex data into actionable insights using Python, SQL, TensorFlow, Pandas, and NumPy. I have a proven track record in predictive modeling, model development, and deploying scalable AI solutions in agile, production-grade environments.
At BOSCH Global Software Technologies, I developed and optimized Python automation scripts that significantly decreased testing time and improved test coverage. I spearheaded the development of a new algorithm for the Airbags system, contributing to a reduction in deployment time across multiple product lines. My efforts have been recognized with awards for delivering impactful presentations and leading initiatives that foster collaboration and innovation within the organization.
Experience
Work history, roles, and key accomplishments
Software Engineer
BOSCH Global Software Technologies
Sep 2023 - Nov 2024 (1 year 2 months)
Developed and optimized Python automation scripts, reducing testing time by 70%. Spearheaded algorithm development for Airbags, achieving a 5% reduction in deployment time. Processed large datasets to improve Airbag reliability by 15%. Recognized for impactful presentations and leadership in innovation initiatives.
Associate Software Engineer
BOSCH Global Software Technologies
Aug 2022 - Sep 2023 (1 year 1 month)
Developed algorithms for Airbags, managing implementation of multiple variants. Refactored C and Python modules, improving execution speed and reducing memory usage. Integrated automation scripts into validation frameworks, automating 80% of tests.
Project Intern
BOSCH Global Software Technologies
Feb 2022 - May 2022 (3 months)
Developed a Python-based machine learning bot for interpreting prescriptions, achieving 90% accuracy. Participated in brainstorming sessions for concept development.
AI/ML Intern
Canspirit AI
Jul 2021 - Oct 2021 (3 months)
Implemented and fine-tuned machine learning models using TensorFlow and Keras, improving prediction accuracy by 91%. Gained industry-specific experience applying learned concepts.
Education
Degrees, certifications, and relevant coursework
MIT World Peace University
Bachelor of Technology, Computer Science & Engineering
2019 - 2022
Grade: 8.89
Completed a Bachelor of Technology in Computer Science & Engineering with a CGPA of 8.89, focusing on software development, data structures, algorithms, and machine learning applications.
Cusrow Wadia Institute of Technology
Diploma, Computer Engineering
2016 - 2019
Grade: 82.75
Earned a Diploma in Computer Engineering with a percentage of 82.75, covering foundational topics in programming, database management, and software engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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