Manjineshwaran
Puducherry, Puducherry, India
Experience: 1 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: Azure, Matplotlib, MySQL, NumPy, pandas, Python, Python3, scikit-learn, Tableau, TensorFlow
Previously worked at: Startups
Assessment Score: 75
- Machine Learning Expertise and Hands-On Experience: A passionate and dedicated Machine Learning Engineer with a robust foundation in data analysis, predictive modeling, and algorithm development. Proficient in advanced Python libraries such as TensorFlow, Keras, Scikit-learn, and NLTK, along with hands-on experience in building and deploying machine learning and AI models, including computer vision and NLP projects like object recognition (92.2% accuracy) and fake news prediction.
- Diverse Technical Skillset: Proficient in programming languages like Python and Java, backend development with FastAPI, and web technologies like HTML and CSS. Adept at using SQL/MySQL for database management, Docker for containerization, Tableau for data visualization, and cloud platforms like Azure for deployment. Hands-on with tools like Jupyter Notebook, Google Colab, and GitHub for effective workflow management.
- Strong Educational Background: Holds a B.Tech in Mechanical Engineering (CGPA 8.39) from Sri Manakula Vinayagar Engineering College, Puducherry. Complemented by certifications such as IBM Data Science Professional Certificate, AMCAT Machine Learning, Python for Data Science, and advanced statistics, which underpin expertise in data science and machine learning.
- Professional Experience: Experienced as a Product Designer, driving competitive analysis, stakeholder collaboration, and BI-driven insights at Appasamy Associates Pvt Ltd, and as a Data Science Intern at 360 DigiTMG Pvt Ltd, gaining expertise in data preprocessing, visualization, and machine learning algorithms like regression, classification, and clustering.
- Project-Based Impact: Successfully implemented real-world machine learning projects, such as building scalable object recognition systems with CNNs and developing NLP-driven fake news detection models. These projects demonstrate practical applications of data science methodologies and a commitment to solving industry-relevant challenges.
- Collaborative and Adaptive Soft Skills: Strong analytical and logical reasoning abilities, effective communication, teamwork, adaptability, and a proactive learning mindset. Proven ability to collaborate across teams, conduct knowledge-sharing sessions, and deliver presentations that bridge technical concepts with business requirements.