Data Science with 1+ years in Data Science & Machine Learning
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Assessing your cultural and operational fit
Versatile Data Professional with a strong foundation in Data Science, Analytics, and Software Engineering. Experienced in building end-to-end data pipelines, developing machine learning models, and automating business workflows. Proven track record in translating complex datasets into actionable insights using Python, SQL, and advanced visualization tools. Skilled in bridging the gap between technical backend architecture and strategic business analytics to drive data-informed decision-making.
Kristu Jayanti College
MSc · Data Science
January 1, 2024 – January 1, 2026
St Aloysius University
BSc · Computer Science & Statistics
January 1, 2021 – January 1, 2024
Beepeaks Private Limited
Intern (Data Science & Software Development)
January 1, 2026 – June 1, 2026
India
IPSR Solutions Limited
Intern (Artificial Intelligence)
January 1, 2025 – December 1, 2025
India
AI-Driven Demand Forecasting
June 23, 2026 – Present
Built a machine learning pipeline to optimize inventory management, significantly reducing stockouts through accurate time-series forecasting.
Business Analytics & Automation Pipeline
June 23, 2026 – Present
Engineered a data processing pipeline to automate reporting tasks; designed complex Excel models for validating business logic and maintaining data integrity.
Real-Time Operations Dashboard
June 23, 2026 – Present
Developed time-series forecasting models and deployed real-time metrics tracking to facilitate data-backed operational decision-making
Data Science and Machine Learning, NASSCOM FutureSkills Prime (Gold Category)
NASSCOM FutureSkills Prime
January 1, 2026 – Present
AI for skilling Digital academy training program
Nassscom foundation
January 1, 2026 – Present
Azure Fundamentals
Microsoft Learn
January 1, 2025 – Present
MongoDB Java Developer Path
MongoDB
January 1, 2025 – Present
Artificial Intelligence
IPSR Solutions Limited
January 1, 2025 – Present
Programming using Java
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong alignment with data science and AI roles. The diversity of projects (forecasting, chatbots, dashboards) and exposure to different tools (Python, Power BI, Excel, MongoDB) suggest adaptability and a willingness to learn, which are positive indicators for cultural fit. However, the experience level is entry-level, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to collaborate in Agile environments and translate complex data into actionable insights, indicating good operational fit. The project descriptions suggest problem-solving skills and a results-oriented approach.