Data Guru, Code Wizard, Innovation Driver- Transforming Possibilities into Reality.
I'm a highly skilled professional with a strong data analysis, software development, and automation background. Currently, I'm a Data Scientist at Ford Motor Company, where I apply my expertise in:
• Languages & Tools: Python, SQL, Statistical Data Analysis, Git, JavaScript, MongoDB, Cloud Computing, Airflow, CSS, HTML
• Frameworks & Platforms: Django, Flask, Angular, Terraform, Docker, AWS, GCP, CI/CD
• Certifications: AWS Solutions Architect Associate, GCP Associate Cloud Engineer, Informs Analytics Professional
Education:
• Master of Science in Business Analytics (Minor in Computer Science) from Purdue University.
• Bachelor in Computer Engineering (Electronics) from the Indian Institute of Information Technology.
Professional Experience:
• Data Scientist at Ford Motor Company, specializing in data analysis and machine learning.
• Previous roles include Software Engineer with extensive experience in full-stack development and machine learning at SIL International and Google.
• Strong data analysis and automation background, including work with Equity Methods (Finance).
• Proven track record of delivering scalable solutions and reducing data transmission time.
Personal Projects:
• Real-Time Crypto Prediction using GCP: Predicted crypto prices in real-time with a Pub/Sub architecture.
• Image Captioning: Developed a multilingual caption generation model using Azure cognitive services.
• Vendor Hiring Recommendation: Achieved 94% accuracy using predictive analysis for an Indianapolis client.
• Retail Framework: Engineered a generalized Python framework for Retail Cloud applications.
I excel in crafting data-driven solutions, automating processes, and developing efficient software applications.
In my personal time, I enjoy a pitcher of beer with my buddies playing poker or pool (I'm really good similar to my technical skills).
Work Terms
I can work 20 hours a week, mostly over the weekend, adjustable if project is high priority.