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Data Science with 4+ years in Data Science & AI.
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Assessing your cultural and operational fit
Experienced Data Scientist with 4.0 years of expertise in building AI/ML pipelines, forecasting models, and analytical platforms. Proficient in leveraging advanced techniques like LLMs, RAG, and XGBoost to deliver high-impact data science solutions, improve prediction accuracy, and automate reporting. Skilled in Python, SQL, cloud platforms like Databricks and AWS, and various ML/visualization tools, driving significant business improvements.
National Institute Of Technology Silchar
B-Tech · Electrical Engineering
August 1, 2018 – June 30, 2022
Astar Data LLP (Sigmoid Analytics)-Bangalore
Senior Data Scientist
January 1, 2025 – Present
Bengaluru, Karnataka, India
Astar Data LLP (Sigmoid Analytics)-Bangalore
Data Scientist
January 1, 2024 – December 31, 2024
Bengaluru, Karnataka, India
Astar Data LLP (Sigmoid Analytics)-Bangalore
Associate Data Scientist
July 1, 2022 – December 31, 2023
Bengaluru, Karnataka, India
Cultural Fit Analysis
The candidate has consistently worked at Astar Data LLP (Sigmoid Analytics), progressing from Associate Data Scientist to Senior Data Scientist, indicating loyalty and growth within a single organization. The diversity of projects, ranging from competitive intelligence and NPD forecasting to workforce analytics and credit card prediction, demonstrates adaptability and a broad interest in applying data science across different domains. The use of various tools and technologies (Python, SQL, PySpark, Databricks, AWS, Power BI, Tableau, MLFlow, Docker, Langchain) suggests a willingness to learn and integrate new technologies, which is a positive indicator for cultural fit in dynamic environments. The focus on delivering high-impact solutions aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights a strong focus on problem-solving, evidenced by refactoring models for significant improvements and developing solutions for complex business challenges. Their experience in leading Power BI migration and building various data products suggests good project management and operationalization skills. The description of reducing analyst effort and improving fairness in evaluations indicates an understanding of user needs and ethical considerations in AI.