Data Science with less than a year in Machine Learning & NLP
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist with experience building end-to-end machine learning pipelines, NLP solutions, and data-driven analytics systems. Skilled in Python and SQL with hands-on experience transforming structured and unstructured data into actionable insights and ML applications. Interested in developing scalable AI solutions and production-level ML systems.
Camellia Institute of technology and management
B.Tech · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Leobrix Technologies Private Limited
Data Scientist
September 1, 2024 – May 1, 2025
Bengaluru, Karnataka, India
Wingman - Text-to-SQL GenAI Assistant
September 1, 2024 – May 1, 2025
Built a natural language to SQL system enabling non-technical users to query databases using plain English. Implemented schema-aware prompt design and few-shot learning for accurate SQL generation. Developed embedding-based schema matching for querying across multiple databases. Enabled faster internal analytics and reporting without manual SQL queries.
End-to-End Demand Forecasting System
January 1, 2023 – December 31, 2023
Designed a machine learning pipeline to forecast 30-day sales across store, category, brand, and product levels. Integrated multiple data sources including SQL tables, CSV datasets, geocoding APIs, and weather APIs. Implemented automated data cleaning, validation, and feature engineering pipelines across datasets. Optimized data ingestion using Redis caching and multithreading for faster processing. Trained and evaluated XGBoost regression models for demand prediction.
Cultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying diverse technologies (GenAI, traditional ML, data engineering). The blend of professional and personal projects, along with a clear interest in 'scalable AI solutions and production-level ML systems,' suggests a good alignment with an innovative and results-oriented culture. The experience with both structured and unstructured data problems indicates adaptability. However, the limited professional experience (less than a year) means cultural fit is primarily inferred from project diversity and stated interests.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate with cross-functional teams and a focus on delivering business impact. The experience in analyzing call transcripts and customer data suggests strong analytical and problem-solving skills. However, without specific psychometric or English test results, a comprehensive assessment of soft skills and operational fit is limited.