Data with 2+ years in SQL, Power BI & Python
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with around 1.5 years of experience in SQL, Power BI, and Python based analytics across SaaS and healthcare. Experienced in building BI dashboards, writing optimized queries on large datasets into actionable business insights, and automating reporting workflows using LLM based AI agents. Strong foundation in analytics, data storytelling, and statistical problem solving, with two peer-reviewed AI research papers published in IEEE Xplore.
Ahsanullah University of Science and Technology
Bachelor of Science (BSc) · Computer Science and Engineering
August 1, 2020 – June 30, 2025
Perceptron
Data Analyst
January 1, 2026 – Present
India
Commure
Operations Analyst
April 1, 2025 – January 1, 2026
India
Applied Intelligent System and Information Processing Lab (AISIP)
Research Assistant
September 1, 2023 – December 1, 2024
India
Prediction of Bike Sharing Demand
February 1, 2024 – March 1, 2024
A Machine Learning project on predictive modeling and feature engineering to analyze Seoul Bike data and forecast bike-sharing demand. Tools Used: Python, Google Colab Notebook, Matplotlib
View ProjectIBM Data Science
Coursera
June 1, 2026 – Present
Google Data Analytics
Coursera
June 1, 2026 – Present
IBM Data Analyst
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, including personal ML projects and research in deep learning, alongside professional roles in data analysis and operations, indicates a broad interest in data-related fields. Their proactive approach to automation and process improvement aligns well with a dynamic, results-oriented culture. The certifications further demonstrate a commitment to continuous learning and skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis and process improvement initiatives. Their experience in collaborating with cross-functional teams and owning documentation suggests good teamwork and operational discipline. The ability to translate ambiguous product questions into measurable analytics deliverables highlights strong communication and stakeholder management.