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Data Science with 2+ years in SQL, Python & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 2.5+ years of experience in software development, specializing in SQL, data processing, and reporting. Experienced in building MIS dashboards, optimizing queries, and transforming raw data into actionable insights. Skilled in Power BI, Python (Pandas), and PostgreSQL to support data-driven decision-making.
Assam Engineering College
Master of Computer Applications
August 1, 2018 – June 30, 2022
North Eastern Regional Institute of Management
Bachelor of Computer Applications
August 1, 2015 – June 30, 2018
National Informatics Centre (NIC)
Software Developer
December 1, 2023 – Present
Guwahati, Assam, India
British Airways
Virtual Data Science Intern
May 1, 2023 – June 1, 2023
India
IASST
Data Science Intern
April 1, 2021 – June 1, 2021
Guwahati, Assam, India
AI Market Intelligence Hub
April 1, 2026 – Present
Engineered a full-stack data pipeline analyzing global AI compensation trends across 40+ skills. Built a Python ETL pipeline using Pandas to clean raw market data and migrate records to PostgreSQL. Performed Feature Engineering (One-Hot Encoding) to decompose unstructured skill data for granular analysis. Developed a Power BI dashboard with dynamic DAX measures for benchmarking and geospatial mapping.
Amazon Sales Analysis Dashboard
May 1, 2025 – Present
Developed an interactive Power BI dashboard for Amazon sales analysis with YTD/QTD tracking, category insights, and filterable trends, delivering business-ready data stories.
Image Classification (Deep Learning)
February 1, 2021 – April 1, 2021
Developed a deep learning model in Python to classify environmental components with high accuracy.
Cultural Fit Analysis
The candidate has experience across personal projects, academic projects, and internships, demonstrating a diverse interest in applying data science skills. The roles at NIC and British Airways show exposure to different industry contexts. The breadth of skills listed (Data & BI, Databases, Programming, Tools, Concepts) indicates a willingness to learn and adapt, which generally aligns well with dynamic team environments. The target role of Data Science aligns with the candidate's project and internship experiences.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with stakeholders and a focus on delivering data-driven solutions, indicating good operational fit. The ability to automate report generation suggests an efficiency-oriented mindset. However, without specific psychometric test results, a deeper assessment of stress handling, logical reasoning, and team collaboration is not possible.