Ina
Hyderabad, Telangana, India
Experience: 12 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: AWS, Azure, Databricks, GCP, Git, Grafana, Jupyter Notebooks, Kafka, Matplotlib, MongoDB, MSSQL, MySQL, NumPy, pandas, PostgreSQL, Postman, PowerShell, Problem Solving, Python, Python3, PyTorch, R, scikit-learn, TensorFlow
Previously worked at: Fortune 500, IT Service Companies, Startups, US-based Companies
Assessment Score: 75
- Extensive Professional Experience
Data Scientist and Technical Manager with 12 years of experience across industries such as Ad Networks, Railroads, Insurance, and Background Screening. Proven expertise in developing and managing AI/ML solutions for leading organizations like Accenture, Google, and Tech Mahindra, showcasing strong analytical and leadership capabilities. - Educational Excellence and Research Contributions
Bachelor of Technology in Computer Engineering (Gold Medalist) from Rajasthan Technical University. Recognized for innovative research in security and data privacy, contributing to 3 publications and 3 patents, and achieving significant milestones in Infosys Labs’ projects. - Advanced Technical and Analytical Skillset
Proficient in Python, SQL, and R with expertise in Machine Learning, NLP, Generative AI, and Statistical Learning. Skilled in scalable frameworks such as PyTorch and TensorFlow and proficient in cloud platforms like AWS, Azure, and GCP. Strong experience in leveraging tools like HuggingFace and Docker for advanced data science solutions. - Leadership in AI/ML Initiatives and Project Success
Successfully led cross-functional teams and complex projects, including deploying high-accuracy AI/ML models (∼99%) for classification and NLP applications. Delivered innovative solutions like ID Resolution pipelines and revenue trend analyses, resulting in significant efficiency and compliance improvements. - Awards and Industry Recognition
Multiple accolades for excellence, including HireRight Spotlight Awards, Google Peer Bonuses, and recognition for impactful contributions to AI/ML projects. Known for mentoring teams, enhancing workflows, and delivering results that align with business goals. - Focus on Continuous Innovation and Organizational Impact
Expertise in transforming customer requirements into scalable data science solutions, improving search and revenue performance, and optimizing operational workflows. Committed to leveraging cutting-edge technologies and methodologies to drive impactful, data-driven organizational growth.