Hi There,
I'm Jagadish
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About Me
Jagadish
Jagadish
Hi, I’m Jagadish Mali — a Data Scientist and ML/AI innovator with a passion for turning complex data into intelligent, business‑ready solutions. My journey began with a deep curiosity for Artificial Intelligence, Generative AI, and Machine Learning, and has evolved into a career dedicated to building impactful, future‑focused applications. I bring a unique blend of technical expertise — from Python, SQL, and advanced analytics to Power BI, Tableau, and CRM workflow design — and business acumen honed through consultative sales and strategic problem‑solving. Whether it’s mining and enriching large datasets, automating workflows, or designing predictive models, I thrive on creating solutions that drive measurable results. This portfolio is more than a showcase — it’s a reflection of my innovative mindset, data‑driven approach, and commitment to continuous learning. I’m ready to collaborate with forward‑thinking IT, AI, and software companies to build the tools, insights, and experiences that will shape tomorrow. Let’s connect and make it happen.
email : jagadish@engineer.com
place : Mumbai, India
"आ नो भद्राः क्रतवो यन्तु विश्वतः" (ā no bhadrāḥ kratavo yantu viśvataḥ) ~ Rigveda 1.89.1
"Let noble thoughts come to us from all directions".
Sophitorium Engineering College, Bhubaneswar | BPUT University, Odisha
Aum Sai Institute of Technical Education, Brahmapur, Odisha | SCTE&VT, Odisha | AICTE, New Delhi
• Design, develop, and deploy machine learning models and algorithms to solve complex business problems
• Collect, preprocess, and analyze large datasets to extract meaningful insights.
• Implement and optimize machine learning algorithms for scalability and performance.
• Evaluate the performance of machine learning models and iterate as needed to improve accuracy and efficiency.
• Implement continuous integration and continuous deployment (CI/CD) processes using tools like GitHub Actions to automate model deployment and updates.
• Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying machine learning techniques.
• Stay up-to-date with the latest developments in machine learning and recommend new tools and techniques to enhance the teams capabilities.
• Conducted data wrangling, time series analysis, business analysis, and predictive modeling.
• Built machine learning models using Python and R for various datasets to provide insights.
• Utilized Tableau to create interactive dashboards for data visualization and business intelligence reporting.
• Assisted in developing business requirements and translating them into technical solutions.
• Web/Internet research for contact information and building up and maintenance of The Database (Lead Generation) with skills in Data Imports and Exports
• Identify strong potential prospects using the given database and find out new customer using various Internet based pages or application to generate outbound lead opportunities
• Maintain well organized, up-to-date and accurate sales information and activity report in CRM Databases
• Assess and Analyze a prospect's current process and requirements
• Manage, Nurture and Convert inbound/outbound leads into sale opportunities
• Completed database population, data processing, and online/offline data entry tasks.
• Sourced leads and built business executive lists using deep web research.
• Ensured high accuracy and attention to detail in all data entry assignments.
• Managed time effectively to meet project deadlines and deliver quality results.
• Conducted accurate and timely data entry for multiple freelance clients.
